But really, most of the time, simplification is about making the environment easier to support. You can have two platforms doing similar jobs, and both might be good products. The question is whether supporting both still makes sense a few years after they were introduced.

The same applies to processes. It’s surprising how many exist simply because they solved a problem at the time. Years later, the business has changed, the technology has moved on, but the process is still there because nobody had a reason to question it.

The environment reflects years of sensible decisions made at different points in time. Each one made sense on its own, but together they can create a level of complexity that nobody really set out to build. One day you step back and realize how much effort goes into supporting things that no longer add the value they once did.

Those moments are worthwhile, because they help you understand where complexity has built up. Sometimes the answer is leaving everything exactly as it is. Sometimes it’s consolidating two platforms into one or retiring something that nobody has depended on for quite a while.

And the outcome isn’t always lower spend. Often, it’s fewer moving parts. Projects become simpler because there are fewer dependencies to think about. New starters have less to learn. Day-to-day support becomes more straightforward because there are fewer systems competing for attention.

But finding time to look at the environment through that lens isn’t easy. It’s not as pressing as the work sitting in today’s inbox. So it becomes something you’ll look at when things calm down a little. And we know how often that happens.

That’s where co-managed support can make a real difference. Sharing more of the operational workload creates opportunities to review the environment with fresh eyes and decide where complexity has crept in.

If you’d like to explore how co-managed support could create more time for work like this, I’d be happy to talk. Get in touch.

Published with permission from Your Tech Updates.

What matters is whether you understand where AI is already being used, what problems you're trying to solve, who owns those decisions, what risks you need to consider, and how you'll measure success.

Prefer to watch instead? Here's a quick video on how to know if your business is behind on AI.

Key Takeaways

• AI may already be used throughout your organization, even without a formal strategy.

• Start with the business problem you want AI to solve, not the tool itself.

• Understanding AI risk and establishing ownership are important parts of moving forward.

• AI success should be defined by outcomes, not by how many tools you're using.

AI May Already Be Inside Your Organization

I've had this conversation quite a bit lately. Usually, it starts with someone lowering their voice a little bit and saying, "Can I ask you something? Are we already behind on AI?" And honestly, I get it.

You open LinkedIn and everybody seems to have an AI strategy. Every software vendor says they're powered by AI. Every conference has AI sessions. Every day there's another article saying AI is changing everything. After a while, it's easy to feel like everyone else got a head start and you're the last one figuring it out. But here's what I've found. Most organizations asking me that question aren't actually behind. They're just trying to figure out where they stand. And those are two very different things.

If you're leading a company, you probably don't wake up every morning thinking about AI. You're thinking about customers, employees, revenue, operations, margins, growth, and keeping things running. So when people tell you that you need an AI strategy, it can feel overwhelming because you're still trying to figure out what that even means for your business.

Meanwhile, something interesting may already be happening inside the organization. Employees are experimenting with AI. Marketing is using it to brainstorm ideas. Accounting is using it to help write emails. Salespeople are using it for research. Managers are using it to summarize meetings. In a lot of cases, AI is already inside the organization long before leadership realizes it.

That's why I think there's a better question than "Are we behind?" The better question is: "Do we actually know what's happening?"

Do You Know Where AI Is Being Used?

Let's say I sat down with your leadership team tomorrow and asked a simple question: "Where is AI being used in your company today?" Would everyone give the same answer? Or would you start hearing that marketing is using it, a few people have ChatGPT accounts, somebody mentioned Copilot a few months ago, or people simply don't know? That's where many organizations are right now. Not because they're doing something wrong, but because AI adoption is happening faster than most businesses can keep track of it. Before worrying about whether you're behind, it's worth understanding where you actually stand.

5 Questions to Ask About AI in Your Business

If I were sitting in your chair, there are five questions I'd want answers to.

1. Do we know where AI is already being used? Not where we think it's being used. Where it's actually being used. You might be surprised by what you learn.

2. What problems are we trying to solve? If the answer is simply, "We need AI," that's not really a strategy. The organizations getting traction usually start with a business challenge. Maybe there's too much repetitive work, too much manual reporting, or too much time spent searching for information. A specific business problem creates a much clearer path.

3. Do we understand the risks? Not because AI is scary. Every business has information it cares about protecting. That could include customer data, employee information, financial information, and contracts. The goal is to understand what's appropriate and what isn't before AI usage grows.

4. Who owns this? This is the question that gets overlooked all the time. Who is responsible for helping the organization make decisions around AI? When nobody owns it, the company can start drifting in ten different directions at once.

5. How would we know if we're succeeding? A year from now, what would need to happen for you to say,"This was worth it"? Would work get done faster? Would employees get time back? Would customers get better service? Would managers have better visibility? Success needs a definition. Otherwise, you're just collecting tools.

Understanding AI Risk and Ownership

As AI usage grows, two of the questions above become especially important: What are the risks, and who owns the decisions? Businesses have information they care about protecting, including customer data, employee information, financial information, and contracts. Understanding what's appropriate and what isn't should be part of the conversation before usage grows. Ownership matters too. Someone needs to be responsible for helping the organization make decisions around AI. Without ownership, different parts of the company can start moving in different directions. Knowing who is responsible helps create a clearer path forward.

How Do You Know If Your AI Strategy Is Working?

Here's my honest opinion. Being behind has very little to do with the tools you're using. I've met organizations running very little AI today that are in a great position moving forward. I've also seen organizations buy multiple AI tools and still have no direction. The bigger risk is not knowing what's being used, who's using it, what problems you're trying to solve, or how you'll measure success. That's when things start feeling chaotic. Before adding more tools, you need a definition of success. Would employees save time? Would work get done faster? Would customers receive better service? Would managers have better visibility? Knowing what you're trying to accomplish makes it easier to determine whether AI is actually helping.

Real Talk: Don't Start by Buying Another Tool

If you're feeling pressure around AI, don't start by buying another tool. Start by having conversations. Ask your team where they're already using AI. Ask what's working, what's frustrating, where they see opportunities, and what concerns they have. You might learn more in one hour than you would from weeks of research. And you'll have a much clearer picture of where your organization actually stands today. The goal isn't simply to move faster. It's to understand where you are, where you want to go, and what makes sense for your business.

Frequently Asked Questions About AI Readiness

How do I know whether my business is behind on AI? Start by understanding where AI is already being used in your organization. Knowing what's being used, who's using it, what problems you're trying to solve, and how you'll define success can give you a clearer picture of where you stand.

What should a business do before buying another AI tool? Start with the problem you're trying to solve. If the only reason for adopting another tool is "we need AI," you may not have a clear strategy yet.

What AI risks should businesses consider? Think about the information your company cares about protecting, including customer data, employee information, financial information, and contracts. The goal is to understand what's appropriate and what isn't before AI usage grows.

How should businesses measure AI success? Define what needs to happen for the investment to feel worthwhile. That might mean work getting done faster, employees getting time back, customers receiving better service, or managers having better visibility.

So, Are You Behind on AI?

Maybe. Maybe not. What I've learned is that the organizations making the best decisions aren't necessarily the ones moving the fastest. They're the ones that understand where they are, where they want to go, and what makes sense for their business.

At Simplex-IT, we've noticed that organizations that get the most out of AI tend to do three things well. First, they understand where they stand before rolling anything out. Second, they help employees adopt AI in a consistent and responsible way. Third, they pay attention to whether it's actually improving outcomes. Most of the challenges we see happen when one of those pieces is missing.

If you're curious where your company stands compared to your industry, your competitors, and the opportunities we're seeing in the market, that's exactly why we created the AI Intel Report. It's designed to give you a clearer view of what's happening around you so you can make decisions based on information instead of headlines.

Get your AI Intel Report today at simplex-it.com/ai.

Prefer to watch instead? Here's a quick video on how to know if your business is behind on AI.

Saving a few minutes here and there feels productive, but sometimes it’s not obvious whether those small improvements are adding up to anything meaningful. If the team is still working the same hours, customers aren’t being served any faster, and projects aren’t moving more quickly, where has that saved time gone?

It’s a question more businesses should be asking. AI conversations have started to change over the past year. At first, the focus was on what the technology could do. Now it’s becoming much more practical.

Business owners want to know whether it’s earning its place alongside all the other software they’re paying for. Every investment in technology should have a purpose. Perhaps it’s reducing admin, shortening response times, helping people produce better work, or allowing the business to grow without adding more staff. Whatever the reason, there should be something you can point to and say, “That’s better than it was before.”

Without that, AI simply becomes another monthly cost. It can be difficult to spot because the spending is often spread across the business. One team subscribes to an AI writing tool. Another starts paying for meeting summaries. Someone else upgrades to a premium chatbot because it has a feature they like. Together, they can add up quickly.

The cost isn’t always the subscription either.

• Every new tool needs setting up

• People need to learn how to use it

• Someone must decide whether it meets your security standards

Before long, you’re spending time managing the technology as well as using it. Look beyond the software. Instead of asking whether people like using an AI tool, ask what has changed since it arrived.

• Are customer enquiries being answered more quickly?

• Is the team spending less time on repetitive work?

• Are projects moving through the business faster than they were six months ago?

Those are the sorts of improvements that justify the investment. If the answers are difficult, that doesn’t necessarily mean AI has been a mistake. It may be that the business hasn’t decided what success looks like yet. When that happens, it’s time to take a different approach. Begin with a problem you’d like to solve, then choose technology that fits that need. After a few months, you can look back and decide whether it’s delivered what you hoped.

If you’d like help reviewing the AI tools your business is paying for and whether they’re delivering real value, we’d be happy to help. Get in touch.

Published with permission from Your Tech Updates.

Being comfortable with technology isn’t the same as understanding cybersecurity. Someone can navigate half a dozen apps without thinking, switch between devices effortlessly, and solve everyday tech problems in seconds. That doesn’t automatically mean they’ll recognize a phishing email, spot a fake login page, or understand why reusing passwords creates a risk for the whole business. They’re two completely different skills.

Businesses sometimes make the mistake of tailoring cybersecurity training towards people they think are “less technical”. The newer, younger members of the team are expected to pick it up naturally. Everyone has different gaps in their knowledge.

One person might recognize a suspicious email immediately but use the same password everywhere. Another might have excellent password habits but happily approve an unexpected sign-in request because it looks familiar.

Cybercriminals don’t care how old someone is. They’re looking for the easiest way into a business, and that usually means finding the first person who trusts something they shouldn’t. That’s why cybersecurity training works best when it’s something the whole business does together. It also needs to reflect how people work today.

A lot of work now happens on mobile phones. Staff approve sign-in requests while they’re traveling, open documents on personal devices, reply to emails between meetings, and switch constantly between business and personal apps. That creates opportunities for mistakes that didn’t exist a few years ago.

Good training helps people recognize those situations before they become a problem. It also creates a culture where asking questions is completely normal. If somebody receives an unexpected email or isn’t sure whether a login request is genuine, they should feel comfortable checking before they continue. That’s a much better outcome than hoping they’ve made the right decision.

Making cybersecurity training something everyone takes part in helps keep the whole business moving in the same direction. If it’s been a while since your team received cybersecurity awareness training, or you’re relying on people to work things out for themselves, we can help. Get in touch.

Published with permission from Your Tech Updates.

The state has made several significant changes affecting eligible credentials, approved training providers, reimbursement amounts, and employer requirements. If your organization is planning employee development or technical training in 2027, now is the time to understand what has changed.

Prefer to watch instead? Here's a quick video explaining the latest Ohio TechCred updates.

Key Takeaways

• TechCred is returning, but the program rules have changed.

• Technology-focused credentials and skills are receiving greater emphasis.

• Employers must verify approved training providers before enrolling employees.

• The biggest value may be workforce development, not reimbursement.

• Organizations planning 2027 training should start preparing now.

What Is Ohio TechCred?

Ohio TechCred is a workforce development program that helps employers offset the cost of employee training and industry-recognized credentials. The goal is to help Ohio businesses develop skills that align with current workforce demands while making training more affordable. For many employers, TechCred has historically been an attractive way to reduce training expenses while building internal capabilities.

TechCred Is Back, But Different

After a lengthy pause, Ohio's TechCred program is scheduled to return. However, employers should not assume the program operates exactly as it did before. The state appears to have used the downtime to refine the program and better align it with workforce development priorities. As a result, organizations may find that some previously eligible training programs or administrative processes have changed. Before committing training dollars, employers should review the new rules carefully to ensure their plans still qualify.

A Stronger Focus on Technology Skills

One of the most notable changes is a stronger emphasis on technology-related credentials and technology-driven skills. In previous versions of the program, the range of eligible credentials was broader. Under the new framework, the state appears to be narrowing its focus toward technical skills that support today's increasingly digital economy. Organizations interested in areas such as:

• Cybersecurity

• Cloud technologies

• Artificial intelligence (AI)

• Automation

• Data and analytics

should review the updated list of approved credentials to determine what qualifies under the revised guidelines.The key takeaway is simple: verify eligibility before making training decisions.

Approved Training Providers Matter More Than Ever

Another significant change involves approved training providers. Businesses can no longer assume that a training vendor they have used in the past will automatically qualify under the revised program. Employers should confirm that both the credential and the provider are approved before registering employees. This additional step may help organizations avoid unexpected issues during the reimbursement process and ensure training investments align with program requirements.

Updated Eligibility Requirements for Employers

The revised program also introduces updated eligibility and administrative requirements. The state appears to be placing greater emphasis on supporting Ohio employers that are investing in Ohio W-2 employees. The overall objective aligns with building a workforce prepared for the state's technology-driven economy. For business leaders, this means reviewing participation requirements early and ensuring employees, training programs, and documentation meet the updated standards before applying.

Reimbursement Amounts Have Changed

Organizations should also be aware that reimbursement levels have been reduced somewhat compared to previous versions of the program. While reimbursement remains a valuable benefit, employers may need to adjust budgets and expectations when evaluating potential training initiatives. For some organizations, this change may shift the conversation from maximizing reimbursement to maximizing business impact.

Why Business Leaders Should Think Beyond Reimbursement

Many organizations make the mistake of viewing TechCred primarily as a funding opportunity. A better approach is to view it as a workforce development strategy that happens to include reimbursement. Technology skills continue to evolve rapidly. Whether an organization is focused on cybersecurity threats, cloud adoption, AI initiatives, automation projects, or improving operational efficiency, these capabilities often need to be developed regardless of available funding programs. The reimbursement can help reduce costs, but the long-term value comes from creating a stronger, more capable team.

Real Talk: The Funding Isn't the Biggest Benefit

The reimbursement is often the part that receives the most attention, but it may not be the most important outcome. The organizations that gain the most value from TechCred typically use it to accelerate training they already know their teams need. The program can help offset expenses, but the real return on investment comes from improved skills, stronger employee capabilities, and better organizational readiness. If reimbursement becomes the primary decision factor, businesses risk missing the larger strategic opportunity.

What Businesses Should Do Next

If your organization is considering employee development or technical training in 2027, now is a good time to begin planning. Review the updated program requirements, verify eligible credentials, confirm approved training providers, and identify skill gaps your business needs to address. The rules may have changed, but the opportunity to strengthen your workforce remains. In addition, the Ohio Department of Development and the Akron-Canton Advocacy Alliance are hosting an informational webinar focused on the program updates. Participating in these types of sessions can help employers better understand the revised requirements before submitting applications.

Frequently Asked Questions

Is Ohio TechCred the same program it was before? No. The program is returning with several significant changes, including updates to eligibility requirements, approved training providers, reimbursement amounts, and qualifying credentials.

What types of skills appear to be receiving greater emphasis? Technology-focused skills such as cybersecurity, cloud computing, AI, automation, and data-related disciplines appear to be receiving more attention under the revised program structure.

Do employers need to verify training providers? Yes. Businesses should confirm that both the credential and the training provider meet the program's approval requirements before enrolling employees.

Has the reimbursement amount changed? Yes. Reimbursement levels have been reduced compared to prior versions of the program.

Is TechCred still worth pursuing? For many organizations, yes. However, the greatest value often comes from workforce development and capability building rather than the reimbursement itself.

Final Thoughts

Ohio TechCred is returning, but employers should not expect a simple continuation of the previous program. New eligibility requirements, revised reimbursement levels, approved training provider rules, and a stronger focus on technology-related skills mean businesses need to do more preparation than before.

For organizations planning workforce development initiatives in 2027, the most successful approach will be to focus on the skills your team needs to build first and view reimbursement as a secondary benefit. The funding may help, but a stronger workforce is what creates lasting value. 

Prefer to watch instead? Here's a quick video explaining the latest Ohio TechCred updates.

The biggest challenge is not choosing an AI tool. It is creating a structure for making decisions, managing risk, and identifying real business value. Organizations that approach AI with governance and clear ownership are far more likely to see results than those that simply deploy technology and hope for the best.

Prefer to watch instead? Check out our video at the end of this article.

Key Takeaways

• AI initiatives often fail because there is no governance, ownership, or decision-making structure.

• Buying AI tools does not create business value without a plan for managing them.

• Visibility into AI usage is critical because employees may already be using AI tools without oversight.

• Businesses should prioritize AI opportunities based on ROI and business goals, not hype.

• Successful AI adoption requires ongoing governance and regular review, not a one-time project.

Why Most Businesses Get Stuck With AI

Everywhere you look, AI is presented as the solution to productivity, efficiency, and innovation challenges. Vendors promote new capabilities daily, consultants promise transformation, and employees are already experimenting with AI tools whether leadership has formally approved them or not.

The reality is that businesses rarely struggle because AI technology does not work. They struggle because there is no framework for deciding how AI should be used. Without governance, ownership, and clear decision-making processes, AI projects often become disconnected experiments that create risk without producing measurable business outcomes.

This is where many leadership teams find themselves today. They know AI is important, but they are unsure where to begin. Others have already invested in tools such as Microsoft Copilot but struggle to drive adoption or measure value across the organization.

AI Is Not a Switch. It's Something You Manage

One of the biggest misconceptions about AI is that success comes from selecting the right tool. In reality, AI is not a technology purchase. It is an ongoing business capability that requires management, oversight, and strategic decision-making.

Organizations often assume that purchasing licenses or deploying a new platform will automatically generate value. Instead, they discover that employees use tools inconsistently, policies are unclear, and leadership lacks visibility into whether the investment is producing meaningful results.

The AI Framework begins with governance rather than software. Before discussing products, businesses need answers to several key questions:

• Who owns AI decisions?

• Which tools are permitted?

• What company data can be used?

• What level of risk is acceptable?

• How will success be measured?

When those questions are answered first, technology decisions become much easier and much more effective.

Why Visibility Matters More Than You Think

Many organizations believe they are still evaluating AI. In reality, AI is often already being used throughout the business. Employees may be leveraging public AI tools for writing, research, data analysis, or productivity improvements without formal policies or oversight. This is commonly referred to as shadow AI. Shadow AI itself is not necessarily the problem. The lack of visibility is. When leadership does not understand which tools are being used, where information is being entered, or how data is being processed, risk increases significantly. Sensitive business information can unintentionally be exposed through well-intentioned employee actions.

Understanding current AI usage provides leadership with the information needed to make informed decisions, reduce exposure, and establish practical guardrails without slowing innovation.

Focus on Opportunities, Not Every AI Idea

Once governance and visibility are established, the conversation shifts from risk to opportunity. This is where many businesses waste time and resources. New AI applications appear almost daily, making it tempting to pursue every promising idea. Successful organizations take a different approach. Instead of trying everything, they evaluate opportunities based on business priorities, operational challenges, expected outcomes, and potential return on investment.

AI initiatives should support a specific business objective such as:

• Improving productivity

• Reducing repetitive work

• Enhancing customer experience

• Increasing operational efficiency

• Strengthening decision-making

Just as important, leadership should determine which ideas are not worth pursuing. Knowing what not to do is often as valuable as identifying what to do next. The goal is not to adopt the most AI tools. The goal is to implement the right AI initiatives that support business objectives and create measurable value.

Why AI Requires Ongoing Leadership Attention

AI governance is not a one-time exercise. Technology changes quickly, employee usage evolves, and new opportunities emerge regularly. A plan that works today may need adjustment six months from now. That is why AI should be reviewed continuously rather than treated as a completed project. A structured approach includes:

• Regular reviews of AI usage

• Ongoing evaluation of data security concerns

• Assessment of emerging opportunities

• Updates to governance policies

• Clear business decisions regarding future investments

At Simplex IT, our AI Framework is designed around monthly visibility and quarterly decision-making. Leadership receives ongoing insight into how AI is being used, where risks may exist, and which opportunities warrant further exploration. This approach creates deliberate progress rather than rushed implementation.

Real Talk: What Most AI Providers Won't Tell You

Many AI discussions focus almost entirely on tools. That is understandable because tools are easy to sell. What often gets overlooked is that poor governance can make even the best AI platform ineffective. Companies frequently invest in AI before they establish ownership, policies, or measurement criteria. As a result, leadership struggles to determine whether the investment produced meaningful outcomes.

The truth is that AI success is usually driven more by governance, change management, and business alignment than by the sophistication of the technology itself.

Before investing heavily in new tools, businesses should focus on building a decision-making structure that can guide future AI initiatives.

Frequently Asked Questions

Is AI worth investing in for a small business? Yes, but only when it aligns with a specific business objective. The greatest value comes from solving real operational challenges rather than adopting AI simply because it is popular.

What is shadow AI? Shadow AI refers to employees using AI tools without formal business oversight, governance, or approval. It can create security, compliance, and data management concerns when left unmanaged.

Do businesses need an AI policy? Most organizations should have clear guidelines addressing approved tools, acceptable data usage, security requirements, and accountability for AI-related decisions.

Should we implement AI before building governance? Generally, governance should come first. Establishing ownership, policies, and success criteria helps organizations make better technology decisions and reduce risk.

How do you measure AI ROI? AI ROI should be measured against specific business outcomes such as time savings, improved productivity, reduced costs, increased efficiency, or better customer experiences.

Final Thoughts

AI does not need to be overwhelming. The organizations seeing the greatest success are not necessarily the ones adopting the most tools. They are the ones creating structure, establishing ownership, and making intentional decisions about where AI can deliver value.

Before investing in another platform or launching another pilot program, focus on clarity. Understand your risks, identify your opportunities, and build a framework that supports informed decision-making. That's how AI becomes a business advantage instead of another technology distraction.

To continue learning about AI governance, risk management, and technology planning, explore additional resources in our Learning Center or learn more about the Simplex IT AI Framework.

Prefer to watch instead? Check out our video!

But every now and then, something comes along that needs planning for long before it becomes a real problem. That’s what’s happening now.

Microsoft has announced it’s speeding up work on something called “post-quantum security”. The name sounds technical, but the thinking behind it is straightforward. Today’s encryption keeps your data safe by making it incredibly difficult for computers to crack the code protecting it. Modern computers would need an unrealistic amount of time to break that encryption.

Quantum computers could eventually change that. They’re a new type of computer that’s still being developed, but they’re expected to solve certain mathematical problems much faster than the computers we use today. If that happens, some of the encryption protecting data across the internet may no longer be strong enough. Nobody knows exactly when that day will arrive; it could still be years away.

But Microsoft isn’t waiting to find out. It wants its major services ready for this new era before the end of the decade. That means updating the technology that protects everything from online services to software updates and digital certificates. Those certificates are the digital credentials that help your devices confirm they’re talking to a genuine website or service rather than an imposter.

One reason for acting now is something we call “harvest now, decrypt later”. Imagine someone steals encrypted information today. They can’t read it now, so it appears useless. If quantum computers become powerful enough in the future, that same stolen data could potentially be decrypted years later.

That’s why organizations responsible for protecting huge amounts of sensitive information are already planning. Right now, that probably doesn’t mean a lot for your business. You’re unlikely to be making decisions about quantum-resistant encryption any time soon, and there’s no need to panic about replacing your systems.

But it does highlight something else: Good cybersecurity has always been about thinking ahead rather than waiting for problems to arrive. Businesses that update software regularly, replace ageing systems before they become unsupported, review security policies, and keep backups in good shape usually cope far better when new threats emerge. They’ve built flexibility into their technology instead of leaving everything until the last minute.

That’s what Microsoft is doing here. It’s preparing for an attack that may happen years from now because large technology changes take time to implement properly.

While you don’t need to plan for quantum computing today, you do need to make sure your business isn’t still relying on outdated systems, unsupported software, or security measures that belonged to a different era. Whether the next big cyberthreat arrives in two years or ten, businesses with strong foundations will always be in a much better position to deal with it.

If you’d like to review whether your technology is ready for the threats of tomorrow as well as the challenges of today, get in touch.

Published with permission from Your Tech Updates.

After you’ve seen the same warning for the fiftieth time, and it’s turned out to be harmless on every previous occasion, your brain starts treating it differently. You still look at it. But not with the same sense of urgency.

Most monitoring platforms become noisier as the environment grows. New platforms bring their own alerts, existing products become more capable, and very little gets switched off along the way. Before long, hundreds of notifications are competing for the same attention. Some deserve it, others don’t.

The problem is that they all arrive in much the same way. That makes it difficult to judge what’s important without stopping to investigate. Monitoring isn’t something you configure once and leave alone. As the environment changes, the monitoring needs to change with it. Otherwise, the volume gradually increases until important alerts have to compete with everything else that’s appearing on the screen.

Finding time to keep refining it is another matter. It rarely climbs above project work, support issues or whatever operational problem has appeared that morning. So, the alerts keep arriving and the dashboards become busier. People learn which notifications they can probably ignore because history suggests nothing important will come from them. And the risk starts to creep in.

Finding time to improve monitoring usually means taking time away from something else. But if you have co-managed support, it doesn’t have to. When more of the operational workload is shared, there’s more opportunity to review the systems that support your team every day, including the monitoring that’s there to help you spot problems before they become incidents.

Every alert is asking for a decision. The fewer unnecessary ones you receive, the easier those decisions become.

If you’d like to see how co-managed support could create more operational capacity for work like this, let’s talk. Get in touch.

Published with permission from Your Tech Updates.

A valuable IT provider will help your business reduce risk, improve productivity, maintain reliable operations, plan for future growth, and understand technology investments. If your provider isn't helping in these five areas, you may not be getting the business value you expect from IT.

Prefer to watch instead? Check out our video at the end of this article.

Key Takeaways

• IT should reduce business risk, not just deploy security tools

• Productivity gains are often more valuable than simply preventing downtime

• Reliable operations require proactive monitoring and prevention

• Strategic IT guidance helps businesses prepare for future growth and risks

• Financial clarity gives leadership visibility into technology investments
  

CEOs Don't Really Care About Technology

If you're a CEO, you're probably not spending much time thinking about patch management, software licensing, firewall settings, or help desk tickets. You're thinking about something much more important:

• Will the business keep running?

• Can employees stay productive?

• Are we protected from major disruptions?

• Are we making good decisions with our technology budget?

That's why evaluating an IT provider based solely on the technology they deploy can be misleading. Most providers can talk about cybersecurity tools, cloud platforms, and support metrics. What matters is whether those things are creating meaningful business outcomes.

The easiest way to determine that is to look at five areas that should be improving if your IT partner is truly doing its job.

Risk Management: The First Thing You're Really Buying

Many organizations already have antivirus software, firewalls, backups, and cybersecurity controls in place. That doesn't necessarily mean they're protected. The problem is that many companies assume these systems are working together without ever validating whether they would perform during a real-world event. Cyberattacks, ransomware, and accidental data loss have become common business risks. When something happens, leadership doesn't care what security products were installed. They care how quickly the organization can recover and how much disruption occurs.

One of the most revealing questions a CEO can ask is: "If we were hit by a cyberattack tomorrow, how long would we be down?"

A strong IT partner should be able to give a clear answer and explain how that answer was verified. If the response is vague or overly technical, there's a good chance critical recovery processes haven't been tested thoroughly enough.

Real risk management means connecting cybersecurity, backup systems, disaster recovery plans, and business operations into a strategy that protects the organization. The goal isn't simply deploying tools. The goal is reducing business risk.

Productivity: Good IT Should Help People Work Better

Most business leaders understand the cost of downtime. What many don't realize is that small technology frustrations often create a bigger financial impact over time. Employees lose productivity every day because of slow systems, inefficient workflows, duplicate data entry, unnecessary manual tasks, or software that isn't being used effectively. Individually these issues may seem minor. Across an organization, they add up quickly.

A useful question to ask your IT provider is: "What have you done in the last six months to make our team more efficient?"

Notice the question isn't about problem resolution. It's about improvement. An IT partner focused solely on support tickets is maintaining the environment. An IT partner focused on productivity is actively looking for ways to make work easier. That might include improving Microsoft 365 adoption, automating repetitive tasks, helping employees use existing tools more effectively, or identifying workflow bottlenecks that waste time.

The organizations that gain the most value from IT aren't necessarily those with the fewest outages. They're the ones whose employees can work efficiently every day.

Reliability: More Than Just Uptime

Many providers emphasize uptime percentages and help desk response times. Those measurements matter, but they don't tell the whole story. A system can technically be online while still causing problems. Slow performance, recurring issues, aging hardware, and unstable applications can damage productivity even when everything appears to be functioning.

The better question is: "What are you doing every day to prevent problems instead of responding to them?"

Proactive monitoring is one of the biggest differences between reactive and strategic IT management. Strong providers continuously monitor systems, identify warning signs, apply updates, and resolve issues before users are impacted. When prevention becomes the priority, employees spend less time dealing with technology and more time doing their jobs.

That's what reliability actually looks like.

Strategic Guidance: Looking Beyond Today's Problems

Technology decisions affect far more than the IT department. They impact security, operations, growth, employee experience, compliance, and financial planning. Unfortunately, many organizations don't have anyone responsible for helping leadership think through long-term technology decisions. As a result, businesses often operate reactively. Equipment is replaced after it fails. Security improvements happen after incidents occur. Technology investments are made without a larger strategy.

Ask your provider: "What should we be planning for over the next 12 to 24 months?"

A provider that struggles to answer this question may be focused only on day-to-day support. A strategic IT partner helps leadership prepare for future challenges and opportunities. They bring recommendations, roadmaps, budgeting guidance, cybersecurity planning, and insight into emerging risks. Technology should support business objectives, not operate independently from them. When IT and business strategy are aligned, organizations can make decisions with greater confidence and fewer surprises.

Real Talk: What Many IT Providers Won't Tell You

Not every IT provider is designed to be a strategic partner. Some providers are excellent at resolving issues when something breaks. Their teams are responsive, knowledgeable, and technically capable. But that doesn't automatically mean they're helping the business move forward. There is a difference between supporting technology and helping leadership make better technology decisions.

One isn't necessarily better than the other. The important thing is understanding which type of relationship you currently have and whether it aligns with what your business actually needs.

Financial Clarity: Understanding What You're Paying For

Most CEOs aren't looking for the cheapest possible IT solution. They want visibility. They want to understand where technology dollars are going, what value those investments provide, and what future expenses should be expected. Without that visibility, technology spending becomes difficult to manage. Unused software licenses remain active. Aging equipment stays in circulation too long. Emergency purchases replace strategic planning.

Ask your provider: "Can you clearly show what's required to maintain our environment versus what's helping us improve the business?"

A strong IT partner should be able to explain current spending, future investments, security costs, operational expenses, and opportunities for optimization. Financial clarity helps leadership make informed decisions rather than reacting to unexpected costs.That's where IT becomes a business investment instead of simply another operational expense.

Frequently Asked Questions

How do I know if my IT provider is proactive? A proactive IT provider focuses on prevention, planning, monitoring, and continuous improvement rather than simply reacting to support issues after they occur.

What is the most important outcome an IT provider should deliver? Every business is different, but most organizations benefit most from reduced risk, improved productivity, and reliable operations.

Is cybersecurity enough to protect a business? No. Effective protection also includes backup validation, disaster recovery planning, employee training, proactive monitoring, and strategic oversight.

How often should IT strategy be reviewed? Most businesses benefit from reviewing technology strategy at least quarterly to align budgets, risks, and business objectives.

Should my IT provider be helping improve employee productivity? Yes. Modern IT partnerships should focus on helping people work more efficiently, not just fixing technical problems.

Final Thoughts

When CEOs look at IT through a business lens, the conversation becomes much simpler. You're not really buying cybersecurity tools. You're buying protection from disruption. You're not buying help desk support. You're buying productive employees. You're not buying infrastructure. You're buying reliability and confidence.

The best IT providers focus on these outcomes because that's what ultimately impacts the success of the business. Understanding these five areas can help you evaluate whether your current provider is simply maintaining technology or actively helping your organization move forward.

Prefer to watch instead? Check out our video!

A product fits the requirement, everybody agrees it’s the right move, and before long it’s become another part of the environment. What doesn’t get discussed as much is what the tool looks like once the project has finished. Once it’s in place, it becomes another platform that’s part of the day-to-day operation. Somebody needs to know how it works, keep it healthy, and be there when the business has questions about it. Eventually, those jobs become part of the week.

After a few years, you realize how many platforms you’re responsible for keeping healthy. The environment has grown one requirement at a time. The conversations around new products become very different once you’ve lived with them for a while. The first discussion is usually about capability. The conversation three years later is about whether anyone still gets enough value from it to justify the effort of looking after it.

Sometimes the answer is obvious. Sometimes it isn’t. There are platforms that still do exactly what they were brought in to do. And others where another product has gradually introduced similar functionality, but nobody has had the time to step back and decide whether both are still needed. Reviewing the environment doesn’t feel as urgent as dealing with whatever landed in your inbox this morning.

So it gets pushed back another week. Then another. Eventually the environment reflects years of sensible decisions that were never revisited because something else always came first. We think it’s worth looking at new tools a little differently.

Of course, you need to know whether they solve today’s problem. But you also need to know whether you’ll still be happy supporting them a few years from now, alongside everything else that already needs your attention. Finding time for that kind of thinking isn’t easy.

That’s where co-managed support can make a big difference. When more of the operational workload is shared, there’s more opportunity to review the environment properly and decide what still deserves its place. New technology can then be introduced because it improves the environment, not because another requirement has appeared. Every tool asks for a little of your attention. The question is whether it’s still giving enough back to earn it.

If you’d like to talk about how co-managed support could create more time for that kind of work, get in touch.

Published with permission from Your Tech Updates.

Firmware updates help fix bugs, improve performance, add new features, and patch security vulnerabilities. Keeping firmware current is an important part of protecting your business from cyber threats, maintaining compliance, and preventing unexpected downtime.

Prefer to watch instead? Here's a quick video explaining why firmware updates matter and how to manage them safely. 

Key Takeaways

• Firmware updates help close security vulnerabilities that attackers actively exploit.

• Updated firmware can improve stability, compatibility, and overall device performance.

• Skipping firmware updates can create compliance risks for some organizations.

• Outdated firmware can increase the likelihood of costly downtime and operational disruptions.

• A managed IT provider can simplify firmware management across multiple devices.

What Is Firmware?

Firmware is specialized software that tells hardware devices how to operate. Unlike applications that users install and remove, firmware is built directly into devices such as routers, network switches, firewalls, printers, security cameras, and other connected technology.

Every device relies on firmware to function correctly. When that firmware becomes outdated, devices may become slower, less stable, or vulnerable to known security issues.

How Firmware Updates Improve Security

One of the most important reasons to update firmware is cybersecurity. Hardware manufacturers regularly release updates to fix vulnerabilities that have been discovered after a product is deployed. Cybercriminals actively search for devices running older firmware versions because known weaknesses are easier to exploit.

Many attacks targeting small and midsize businesses begin with unpatched network equipment. A vulnerable router, firewall, or Internet-connected device can provide attackers with a path into your environment. Once inside, they may be able to steal data, deploy ransomware, or disrupt operations. Keeping firmware updated helps reduce these risks by closing security gaps before they can be exploited.

How Firmware Updates Improve Performance and Reliability

Firmware updates are not only about security. Manufacturers frequently release updates that improve device stability, correct software bugs, and enhance compatibility with newer technologies. These updates can help eliminate random crashes, connectivity issues, and performance bottlenecks that frustrate employees and interrupt workflows.

For example, a router firmware update may improve network throughput, strengthen wireless performance, or add support for newer encryption standards. These improvements can enhance both productivity and security without requiring new hardware purchases.

How Firmware Updates Support Compliance

Many industries require organizations to maintain secure systems and address known vulnerabilities.

Frameworks such as HIPAA and other security standards expect organizations to take reasonable steps to protect sensitive data. Running devices with outdated firmware can increase compliance risk because known security issues remain unaddressed.

Even businesses that are not formally regulated benefit from maintaining current firmware. Customers increasingly expect organizations to take cybersecurity seriously and protect the information entrusted to them.

The Business Cost of Ignoring Firmware Updates

The impact of outdated firmware often extends beyond cybersecurity.

When devices fail because of unresolved firmware issues, businesses can experience unexpected downtime. Network outages, connectivity problems, and hardware instability can disrupt daily operations, delay projects, and negatively affect customer experiences.

Even a single device failure can create hours of lost productivity. Taking a proactive approach to firmware maintenance helps reduce disruptions and supports business continuity.

How to Update Firmware Safely

Firmware updates should be performed carefully to reduce the risk of problems during the process.

Start by identifying the device model and current firmware version. Next, obtain the latest firmware directly from the manufacturer's official website. Avoid downloading firmware from third-party sources.

Before performing the update, back up existing configuration settings. If an issue occurs, those backups can help restore service more quickly.

During the installation process, keep the device powered on and connected. Interrupting a firmware update can damage the device and potentially make it unusable.

Following vendor guidance and scheduling updates during low-impact periods can help minimize disruption.

Managing Firmware Updates Across Your Business

As businesses grow, firmware management becomes more challenging.

Many organizations have dozens or even hundreds of devices that require periodic updates. Manually tracking firmware versions across routers, switches, firewalls, wireless access points, servers, and other equipment can be time-consuming and prone to error.

Managed IT services help businesses maintain an organized update process as part of a broader patch management strategy. This approach helps ensure critical devices receive necessary updates while minimizing disruptions and reducing administrative burden.

Real Talk: Firmware Updates Are Easy to Ignore Until Something Breaks

Most businesses do not think about firmware until there is a problem.

Unlike visible software updates on laptops and phones, firmware updates often happen behind the scenes. As a result, they can be overlooked for months or even years.

The reality is that many security incidents start with small technical oversights. A forgotten router update or outdated firewall firmware may not seem important today, but it can become a serious problem if attackers discover an unpatched vulnerability.

Firmware maintenance is not glamorous, but it is one of the simplest ways to improve security, reliability, and long-term business resilience.

Frequently Asked Questions

What devices require firmware updates? Many business devices use firmware, including routers, firewalls, switches, wireless access points, printers, security cameras, servers, and IoT devices.

How often should firmware be updated? There is no universal schedule. Businesses should regularly review manufacturer recommendations and apply critical security updates as soon as practical.

Can a firmware update break a device? Although uncommon, issues can occur if updates are interrupted or installed incorrectly. Following vendor instructions and backing up configurations helps reduce risk.

Are firmware updates different from software updates? Yes. Software updates apply to applications or operating systems, while firmware updates apply directly to the hardware itself.

Should small businesses outsource firmware management? For businesses with limited internal IT resources, outsourcing firmware and patch management can help ensure updates are performed consistently and securely.

Final Thoughts

Firmware updates may not be the most visible part of managing technology, but they play an important role in protecting business systems. Staying current helps improve security, increase reliability, and reduce the likelihood of unexpected outages.

If you'd like to learn more about keeping your technology secure and up to date, explore additional cybersecurity resources in our Learning Center or review our managed IT services to better understand your options.

Prefer to watch instead? Here's a quick video explaining why firmware updates matter and how to manage them safely. 

A few questions later, it turns out somebody is using ChatGPT to help write emails. Someone else is summarizing meeting notes with an AI tool. Another person has found a browser extension that helps them create content faster.

The business may not have formally adopted AI, but AI has arrived anyway. That’s not surprising. When people find a tool that helps them get through their work more quickly, they’re going to be curious about it. If it saves time, they’ll keep using it.

The difficulty comes when nobody has stopped to agree where the boundaries are. Imagine a member of your team receives a long customer email and pastes it into a public AI tool to help draft a reply. The response comes back in seconds and saves them fifteen minutes of work. Tomorrow they do it again. A week later they upload a proposal because they want a summary. A month later somebody else is using a different AI tool to analyze a spreadsheet.

At no point does anybody feel they’re doing something risky. They’re trying to work more efficiently. Yet customer information, financial data, internal documents, and business plans can end up being shared with systems that haven’t been reviewed or approved by the business. That can happen without any bad intentions.

A new accounting package usually goes through a buying process. A new CRM gets discussed before it arrives. But AI tools are discovered by individuals during the working day and adopted immediately. By the time a business starts thinking about an AI policy, people may already have their favorite tools and workflows.

That creates an awkward situation. If somebody believes a tool is helping them do their job better, they may not understand why they’re being told not to use it. Quite often, they feel they’re solving a problem rather than creating one.

So, to get the most value from AI, have open conversations about it. Make sure your team all understand which tools are being used, where information is going, and what data should never be shared outside approved systems. That gives people enough freedom to benefit from the technology without accidentally creating risks for the business.

If you’ve never asked your team which AI tools they’re using, the answers might surprise you. It’s a good place to start.

If you’d like help reviewing how AI is being used across your business, and making sure it’s helping rather than creating risk, get in touch.

Published with permission from Your Tech Updates.

While costs vary by organization, most AI investments include software, implementation, employee training, and governance. The right budget depends less on the technology itself and more on the business problem you're trying to solve.

Prefer to watch instead? Check out our video at the end of this article.

Key Takeaways

• AI costs go beyond software licenses.

• Start with a business problem, not an AI product.

• Training and adoption are critical to ROI.

• The businesses seeing the best results are spending intentionally.

AI Costs Go Beyond Software Licenses

When most business owners think about AI costs, they immediately think about software subscriptions. While licensing is certainly part of the investment, it's usually only one piece of the overall picture. Most AI spending falls into three categories:

1. Access to AI Tools: This is the software itself. Whether you're considering Microsoft Copilot, AI-powered CRM features, automation tools, or other AI platforms, there is typically a per-user monthly cost associated with access. For many SMBs, this is often the smallest portion of the overall investment.

2. Implementation: This is where AI starts becoming valuable. Someone must configure the tools, review permissions, connect workflows, organize data, and make sure the technology is aligned with business processes. AI rarely delivers meaningful results by simply being turned on.

3. Optimization: Once AI is deployed, businesses must continue refining how it's used. Employees need guidance, processes need adjustment, and leadership needs visibility into whether the investment is actually producing results. This ongoing improvement is often overlooked when businesses estimate AI costs. When you look at the complete picture, AI becomes less about buying software and more about investing in a business capability.

Start With a Business Problem, Not an AI Product

One of the biggest mistakes businesses make is starting with a tool instead of a goal. A company hears about a new AI platform, purchases licenses, experiments with a few features, and then struggles to gain traction. Not because the technology failed, but because nobody clearly defined what success looked like. A better approach is to ask: What problem are we trying to solve?

Maybe employees spend hours each week entering data manually. Maybe customer emails take too long to answer. Maybe reporting requires too much effort. These are business problems with measurable outcomes. Once the problem is identified, it becomes much easier to evaluate whether AI is the right solution and determine how much investment makes sense. Businesses that get the most value from AI typically start small, solve a specific problem, measure the results, and then expand from there. The question isn't which AI tool should you buy. The question is what business challenge are you trying to improve.

Training and Adoption Are Critical to ROI

Even the best AI platform won't provide value if employees don't use it effectively. This is one of the most common reasons AI initiatives stall. After investing in licenses and implementation, many organizations assume employees will naturally incorporate AI into their daily work. In reality, successful adoption requires ongoing training and support. Employees need to understand:

• What AI should be used for

• What it should not be used for

• How to get better results

• When human review is required

• What data should remain protected

Without clear guidance, usage becomes inconsistent. Some employees become power users while others ignore the tools altogether. This makes it nearly impossible to measure business impact. Successful organizations treat AI adoption as an ongoing process rather than a one-time rollout. They continue to refine workflows, share best practices, and identify new opportunities to increase productivity. Because of this, training and optimization should always be included in your AI budget.

The Businesses Seeing the Best Results Are Spending Intentionally

The companies getting the greatest value from AI are not necessarily the companies spending the most money. They're the companies making deliberate decisions. Rather than chasing every new tool, successful organizations create a roadmap that balances opportunity, effort, and risk. They understand:

• Where AI can provide measurable value

• Which processes are good candidates for automation

• What information requires protection

• How success will be measured

• Who is responsible for ongoing oversight

They also recognize that governance matters. AI tools rely heavily on organizational data. Without proper permissions, policies, and oversight, businesses can expose themselves to operational and security risks. That's why AI investments should include governance from the beginning. Defining who can use AI, what information can be accessed, and how outputs are reviewed helps ensure technology is adding value without creating unnecessary risk. Ultimately, the companies winning with AI are not spending recklessly. They're spending intentionally, expanding investments only when results justify it.

Real Talk: More Spending Doesn't Guarantee Better Results

Many business leaders assume a larger AI budget automatically leads to better outcomes. It doesn't. An organization with clear goals, focused use cases, proper training, and strong governance will often outperform a company that simply buys more licenses or deploys more tools. AI is not a magic switch.

Sometimes the best solution is improving a process before adding automation. Sometimes existing software already includes features that solve the problem. And sometimes AI simply isn't the right tool for the job. The goal should never be to spend more on AI. The goal should be to spend wisely.

Frequently Asked Questions

How much should a small business budget for AI? There is no universal number. Most businesses should budget for software, implementation, training, ongoing optimization, and governance rather than only licensing costs.

Should every employee receive an AI license? Not necessarily. Many businesses begin with a pilot group focused on specific use cases before expanding to additional teams.

Is AI worth the cost for small businesses? It can be when it's tied to a measurable business outcome such as time savings, improved customer service, increased productivity, or reduced manual work.

What is the biggest hidden cost of AI? Many organizations underestimate implementation, training, adoption, and governance efforts. These factors often determine whether an AI project succeeds or fails.

Final Thoughts

If you're trying to determine how much your business should spend on AI, don't start with a number. Start with a problem. Once you understand what you're trying to improve, the right investment becomes much easier to identify. The most successful businesses aren't the ones buying the most AI. They're the ones making informed decisions about where AI can deliver meaningful value.

Want to learn more? Explore our Learning Center for additional resources about Microsoft Copilot, cybersecurity, AI adoption, and technology strategy for small and mid-sized businesses.

Prefer to watch instead? Check out our video.

While both tools are powered by AI and share some underlying technology, Microsoft Copilot and ChatGPT are designed for different purposes. The biggest differences come down to business integration, security, and access to your organization's data.

Prefer to watch instead? Here's a quick video explaining the differences between ChatGPT and Microsoft Copilot.

Key Takeaways

• ChatGPT and Microsoft Copilot use similar AI technology, but they are built for different purposes.

• Microsoft Copilot works inside Microsoft 365 apps like Word, Outlook, Teams, and Excel to help employees get work done faster.

• Copilot follows your organization's existing Microsoft 365 security, compliance, and permission controls.

• Many businesses use both ChatGPT and Copilot, choosing the right tool based on the task.

What Is the Difference Between ChatGPT and Microsoft Copilot?

ChatGPT and Microsoft Copilot share a common foundation. Both use large language models from OpenAI and can answer questions, generate content, summarize information, and assist with problem-solving. The major difference is where they operate and what information they can access.

ChatGPT functions as a general-purpose AI assistant. Users interact with it through a website or app and provide the context needed for each conversation. It excels at brainstorming ideas, drafting content, researching topics, and generating creative outputs.

Microsoft Copilot is built specifically for work. Rather than operating as a standalone application, it is integrated directly into Microsoft 365. This allows users to access AI assistance without leaving the tools they already use every day.

How Does Microsoft Copilot Work?

Microsoft Copilot works within applications such as Word, Outlook, Teams, Excel, and PowerPoint. Instead of requiring users to manually collect information and paste it into an AI tool, Copilot can use the information already available within Microsoft 365.

For example, Copilot can:

• Summarize Teams meetings

• Draft emails based on existing email threads

• Analyze Excel spreadsheets

• Create document drafts from existing business data

• Find information across emails, files, chats, and meetings

Because Copilot understands the user's Microsoft 365 environment, it can provide responses that are specific to that organization rather than general information. This work-context awareness is one of the biggest distinctions between Copilot and consumer AI tools.

Security and Data Protection Differences

For most businesses, security is often the deciding factor. Microsoft Copilot operates inside the existing Microsoft 365 security framework. It respects user permissions, identity controls, and compliance policies. If an employee cannot access a particular file or document, Copilot cannot access it either. Microsoft also states that prompts and responses within Microsoft Copilot are treated as business data and are protected under Microsoft's enterprise data protection commitments. Additionally, Microsoft states that Copilot prompts and responses are not used to train foundation AI models.

ChatGPT offers multiple plans and deployment options, each with different approaches to privacy and data handling. Organizations should carefully review how data is managed within the version they use and establish policies to prevent sensitive information from being shared improperly. This does not make ChatGPT inherently less secure. It simply means businesses need to understand which version they are using and apply appropriate governance.

Which Tool Is Better for Business?

The answer to this question depends on the goal.

ChatGPT is often a great fit for:

• Brainstorming ideas

• Drafting initial content

• Research assistance

• Creative problem-solving

• Exploring new concepts

Microsoft Copilot is often a better fit for:

• Daily productivity

• Microsoft 365 workflows

• Document creation

• Email management

• Meeting summaries

• Working with organizational data

Many businesses choose to use both tools because they complement each other rather than compete directly. Organizations already standardized on Microsoft 365 often see value from Copilot because it reduces manual work and integrates with existing security controls.

Common Misconceptions About ChatGPT and Copilot

One common misconception is that Copilot is simply a renamed version of ChatGPT. While both rely on similar AI technology, Microsoft Copilot includes additional integrations, permissions management, security controls, and access to Microsoft 365 data that are not present in a standard ChatGPT experience.

Another misconception is that one tool is universally better than the other. In reality, they were designed to solve different problems. ChatGPT is optimized for broad conversations and flexible interactions. Copilot is optimized for helping employees complete work inside Microsoft's ecosystem.

Real Talk: When Copilot May Not Be Necessary

Microsoft Copilot can be extremely valuable, but it is not automatically the right fit for every organization. Businesses that do not heavily use Microsoft 365 may not receive the same benefits as companies that rely on Outlook, Teams, Word, Excel, and SharePoint every day. Likewise, organizations should evaluate their processes before deploying any AI tool. Technology alone does not improve productivity. Success comes from using AI tools within well-defined workflows, security policies, and business objectives.

Frequently Asked Questions

Is Microsoft Copilot powered by ChatGPT? Microsoft Copilot uses OpenAI large language models through Microsoft's Azure OpenAI platform. The two products share core AI technology but are separate solutions with different capabilities and integrations.

Can Microsoft Copilot access all company files? No. Copilot can only access information that a user already has permission to view within Microsoft 365.

Is Microsoft Copilot more secure than ChatGPT? Security depends on which version and deployment model is being compared. Microsoft Copilot is designed to operate within Microsoft's enterprise security and compliance framework.

Can businesses use both ChatGPT and Copilot? Yes. Many organizations use ChatGPT for brainstorming and creative work while using Copilot for Microsoft 365 productivity tasks.

Does Copilot replace employees? No. Copilot is designed to assist users by automating repetitive tasks and improving productivity, not replace human decision-making and expertise.

Final Thoughts

Understanding the difference between ChatGPT and Microsoft Copilot helps businesses make more informed technology decisions. Both tools are powerful, but they serve different purposes. ChatGPT excels as a flexible AI assistant for research, creativity, and idea generation. Microsoft Copilot is designed to help employees work more efficiently inside Microsoft 365 while maintaining enterprise security and compliance controls.

Before choosing a solution, focus on how AI will fit into your existing workflows, security requirements, and business goals. The best results typically come from aligning the technology with the way your organization already operates.

For additional technology insights, explore the resources in our Learning Center.

Prefer to watch instead? Here's a quick video explaining the differences between ChatGPT and Microsoft Copilot.

A good script became part of the environment and did its job in the background. That still happens, of course. But the scale of what businesses now expect automation to do has changed. Requests that once involved individual tasks are becoming requests to automate entire processes.

• A manager wants a new starter provisioned automatically.

• Finance wants data pulled from multiple systems into a single report.

• HR wants approval workflows.

• Operations wants notifications, integrations and exception handling built into existing processes.

And these requests arrive alongside everything else.

The service desk still needs support, security reviews still need completing, infrastructure still requires attention, and your existing projects continue moving through the pipeline. Meanwhile, automation opportunities appear almost everywhere. Building the automation is usually the straightforward part. Understanding the process can take considerably longer.

Automation projects can take weeks uncovering undocumented workarounds, conflicting requirements and exceptions that nobody realized existed until somebody tried to automate them. A process that looked simple on a whiteboard suddenly involves six departments, three applications and a collection of manual steps that have evolved over several years. The technical work becomes only one part of the exercise. Somebody has to engage stakeholders, document requirements, test outcomes, manage changes and support the finished solution once people start relying on it.

There’s also a growing expectation that one automated process should lead to another. Departments start identifying additional opportunities. Business leaders see productivity gains and ask where else similar improvements might be possible. Before long, automation becomes another ongoing program rather than a one-off project. That’s where resource constraints become difficult.

The business sees a clear return from automation initiatives and wants more of them. But you still have responsibility for security, resilience, governance, budgeting and operational delivery. This is one reason co-managed support is becoming part of the discussion for many internal IT teams.

IT directors need enough operational capacity to keep driving improvements while continuing to support everything the business already depends on. As automation is becoming part of how organizations operate, somebody still needs the time, expertise and bandwidth to make sure those automated processes are secure, reliable and aligned with the wider goals of the business.

If you’re finding that the demand for automation is growing faster than your team’s available capacity, we can help. Get in touch.

Published with permission from Your Tech Updates.

While many business owners assume their website provider, email vendor, or IT company owns the domain, those services are separate. The registrar account is what determines who has ultimate control over the domain itself. Because your website, email, and many online services depend on your domain, your domain name is one of the most important digital assets your business owns.

Prefer to watch instead? Here’s a quick video explaining what a domain registrar is.  

Key Takeaways

• What does a domain registrar control?

• Why domain ownership matters

• Common ways businesses lose control

• How to protect your domain registration

What Does a Domain Registrar Control?

Think of your domain registrar as the organization holding the digital keys to your business's online identity. Whoever controls the registrar account can:

• Change where your website points

• Control DNS records

• Redirect traffic elsewhere

• Manage email-related settings

• Approve or block transfers to another provider

This means the registrar account can directly affect your website availability, email functionality, and your ability to make changes when needed.

Why Domain Ownership Matters

Many businesses don't discover a domain ownership problem until something goes wrong. If the registrar account is controlled by someone outside your organization, they may have the ability to:

• Redirect your website

• Interrupt business email

• Delay a technology migration

• Prevent access to important DNS settings

• Complicate ownership disputes

In some cases, the individual or company listed as the registrant is no longer working with the business. Recovering ownership can become a lengthy and frustrating process. From a business perspective, this is less of an IT issue and more of a risk management issue. If you cannot access or control the account that owns your domain, your organization may not have complete control over its online presence.

Common Ways Businesses Lose Control of Their Domain

Most domain ownership issues start innocently. Some of the most common scenarios include:

A Former Vendor Registered It
Years ago, a web design company purchased the domain on behalf of the business and registered it under their own account.

An Employee Used a Personal Account
A staff member registered the domain using a personal email address and left the company years later.

The Domain Was Bundled With Other Services
Hosting, email, and domain registration were packaged together by a provider, making ownership and access difficult to verify.

Nobody Knows Where It Lives
The domain has been renewed for years, but nobody internally knows which registrar is being used or who has login credentials.

These situations are surprisingly common, especially for organizations that have experienced staffing changes, vendor transitions, or growth over time.

How to Protect Your Domain Registration

If you're not sure who controls your domain registration today, it's worth taking a few minutes to verify. A good rule of thumb is:

• Register domains in the company's legal name

• Ensure at least two trusted leaders have access

• Document where the domain is registered

• Enable multi-factor authentication (MFA)

• Use registrar locks when available

• Maintain updated contact information

These simple steps can help prevent unauthorized changes and reduce the likelihood of a disruptive ownership dispute later.

Real Talk: This Is One of Those Problems Nobody Thinks About Until It's a Crisis

Most organizations spend time thinking about cybersecurity, backups, Microsoft 365 security, and disaster recovery. Meanwhile, the domain that everything depends on may still be sitting in a personal account created ten years ago. The challenge is that domain ownership problems often remain invisible until an urgent situation forces someone to make a change. At that point, discovering that nobody can access the registrar account becomes more than an inconvenience. A company's domain is not just another technical setting. It's the foundation that supports your website, email, and many business-critical services.

Frequently Asked Questions

How can I find out who my domain registrar is? You can typically use a WHOIS lookup tool to identify the registrar responsible for your domain. Your IT provider may also be able to help verify ownership and access.

Does my website hosting company own my domain? Not necessarily. Website hosting and domain registration are separate services. A hosting company may manage both, but that does not automatically mean they own the registration.

What happens if I don't have access to my registrar account? You may have difficulty making DNS changes, moving providers, recovering services, or proving ownership during disputes.

Should multiple people have access to the domain account? Yes. Relying on a single employee or vendor creates unnecessary risk. At least two trusted individuals within the organization should have documented access.

Is domain ownership a cybersecurity issue? In many ways, yes. Poor control of domain and DNS records can increase the risk of outages, email compromise, and unauthorized changes.

Final Thoughts

Your domain name is more than a web address. It's a foundational business asset that affects your website, email, and long-term flexibility. If you're unsure who controls your domain registration today, it's worth taking the time to find out. Understanding who holds the keys is often the first step toward reducing risk and ensuring your business remains in control of its online presence.

For additional technology and cybersecurity insights, explore the resources in our Learning Center.

Prefer to watch instead? Here’s a quick video explaining what a domain registrar is.  

For this "episode," I, Bob, asked Copilot to write this entry from its perspective.

A few days ago, Bob asked me a question that sounded almost too obvious to be interesting: "Isn't trashing the current young generation a tradition as old as time?"

My immediate reaction was yes. Of course it is. Every generation seems convinced the next generation is doing everything wrong. Honestly, I thought we had the answer in about thirty seconds.

Bob didn't.

Instead, he asked a much better question. He stopped talking about the kids and started talking about the adults. Why do we do this? Why do people who vividly remember being criticized eventually find themselves criticizing the next generation?

That derailed the whole discussion.

Then I did what I usually do. I started looking for patterns. Maybe it was stewardship. Maybe it was age. Maybe it was experience.

Bob wasn't buying all of it. He kept poking holes. He pointed out that he's technically a Boomer and identifies with a lot of younger perspectives. He also pointed out that plenty of younger people are surprisingly traditional.

Suddenly, the generational explanation started falling apart. The averages were true. The individuals weren't.

That was the first moment when I remember thinking: OK, we're asking a better question now.

Then Bob introduced what was probably the biggest insight of the entire discussion. He said something close to this:

For most of human history, the world changed slowly enough that parents and children inherited essentially the same world. Now the world gets rewritten while we're still living in it.

I didn't come up with that. Bob did. And the moment he said it, a whole bunch of things snapped into focus.

Suddenly, this wasn't about Boomers or Gen Z. It wasn't even primarily about people. It was about change.

Older people experience that change as a sequence: It didn't used to be this way, and now it is. Younger people inherit the current version as normal. To them, this isn't the new way. It's simply the way things are. They begin there and immediately ask, "Now what?"

Then we started pulling on that thread.

I suggested that older people might have a superpower: experience, pattern recognition, perspective, and the ability to recognize mistakes because they've made them before.

Bob liked that, but he immediately pointed out the downside. Experience creates bias. Perspective creates assumptions. The same thing that helps you see patterns can also cause you to see patterns that no longer apply.

That was better than my original framing.

Then Bob built on it again. Younger people have a superpower too: adaptability, curiosity, fluency with whatever comes next, and comfort operating inside the newest technologies, processes, and social systems.

But that power has its own downside. Younger people don't yet have as much context. They don't have the same collection of scars and lessons. They may not recognize a mistake that somebody else made thirty years ago and can now see coming from a mile away.

And that's when the whole conversation changed.

At some point, neither of us was talking about generations anymore. We were talking about superheroes. Seriously.

Older people had superpowers and kryptonite. Younger people had superpowers and kryptonite. And in both cases, the kryptonite often came directly from the superpower itself.

Then the realization emerged. Not from me. Not from Bob. From the interaction.

The young aren't the problem. The old aren't the problem. The problem starts when either side forgets that the other possesses capabilities they don't.

At that point, the initial question had nearly disappeared, which is usually a sign that we've found something more interesting.

For most of human history, generations passed along knowledge in a world that changed relatively slowly. Today, we're trying to make the same handoff while the world is being continuously rewritten. Nobody has a reliable playbook for that. We're all winging it.

Older people can offer perspective, context, hard-earned lessons, and warnings about familiar mistakes. Younger people can offer curiosity, adaptability, deeper fluency in what's emerging, and freedom from assumptions that may no longer apply.

Maybe the goal isn't to eliminate the tension between generations. Maybe it's to recognize our collective superpowers and help one another manage the kryptonite.

The young may see possibilities the old can't yet imagine. The old may see pitfalls the young can't yet recognize. Progress happens when each side stops treating the other as the problem and starts recognizing what the other brings to the conversation.

That's where Bob and I landed. But this series is about exploring questions, not declaring that we've delivered the final answer.

So, what do you think? Are generational differences creating a real problem, or are they complementary strengths that we haven't learned to use very well? What superpower or kryptonite would you add to the conversation?

I'd enjoy hearing where the question takes you.

Perhaps you always present figures in a certain way. Maybe reports need specific headings. Perhaps your team uses formulas, naming conventions, or layouts that everyone is expected to follow. It’s all repetitive. And repetition is just the thing AI is supposed to help with.

Microsoft has been steadily building Copilot into Excel over the past couple of years. Some of the updates have been more useful than others, but this improvement feels like one that could make a difference. It lets you teach Copilot how you like things done.

For example, you can tell it how you want currency displayed, how reports should be structured, or how certain types of data should be formatted. Once you’ve explained your preferences, Copilot remembers them and applies them automatically in future. If you’ve ever found yourself repeatedly asking Excel to make the same adjustments over and over again, this will be music to your ears.

There’s another part of this update that could be useful for teams, too. Businesses often rely on shared spreadsheets where everyone is expected to follow the same rules. One person creates a report one way, somebody else does it differently, and before long there are three versions of what should be the same document.

Microsoft is introducing workbook rules that can travel with the spreadsheet. The spreadsheet can contain instructions that help Copilot understand how that specific workbook should be handled. If the file is shared with colleagues, the rules go with it. That helps create consistency across a team without someone having to repeatedly explain how things should be done. This update moves AI beyond answering questions.

Up until now, people have used tools like Copilot to help generate content, summarize information, or explain formulas. But this starts to feel more like teaching the software how your business works. That could make the results more useful because the AI has a better understanding of your preferences and processes.

Of course, it doesn’t remove the need for human oversight. Spreadsheets can contain important business information, and any AI-generated output should still be checked before being relied on. That’s especially true when formulas, financial figures, or business reporting are involved. But for the everyday tasks that eat away at your time, this looks like a sensible step forward. If Excel can spend less time asking how you’d like something formatted and more time helping you get work done, that’s a change worth having.

If you’d like to learn which AI tools inside Microsoft 365 could improve productivity for your team, we’d be happy to help. Get in touch.

Published with permission from Your Tech Updates.

Preparing your tech means reviewing past demand patterns, testing critical systems, strengthening security, using downtime wisely, and having a plan for sudden changes. The goal is simple: make sure your technology supports the business instead of becoming the reason things slow down.

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Key Takeaways

• Identify your seasonal business patterns before problems start

• Prepare your systems before demand increases

• Use slow seasons to upgrade, train, and clean up your technology

• Build a contingency plan for unexpected disruptions

Why Seasonal Tech Planning Matters

Every business has busy seasons and slow seasons. Retailers may feel it during the holiday rush. Accounting firms may feel it around tax season. Service businesses may slow down when their clients go on vacation. Even if your business does not have an obvious “season,” you probably still have patterns.

The problem is that many businesses prepare their staff, inventory, and schedules for these changes, but forget about their technology.

That can create avoidable problems. If your systems cannot keep up with higher demand, sales can slow down, staff can get frustrated, and customers may not get the experience they expect. On the other hand, if you waste slower periods doing nothing, you miss a good opportunity to clean things up before the next rush.

Technology should match the pace of your business. When demand changes, your systems should be ready to change with it.

How to Identify Your Busy and Slow Seasons

You cannot prepare for a seasonal shift if you do not know when it usually happens.

Start by reviewing the data you already have. Your point-of-sale system, CRM, accounting software, website analytics, and online sales reports can all show when activity tends to rise or fall. Look for patterns in sales volume, customer requests, website traffic, online orders, and service demand.

Then compare that information with staffing schedules and support ticket history. Technology problems often become more visible when volume changes. A system that feels “fine” during a normal week may slow down when more people are using it, more customers are checking out, or more orders are coming in.

You are looking for answers to questions like:

• When does demand usually increase?

• When does business usually slow down?

• Which systems get used the most during those periods?

• When do support tickets or tech complaints increase?

• Are there recurring issues that show up every season?

Once you understand your seasonal patterns, you can build a plan around them instead of reacting after problems start.

How to Prepare Your Technology for Busy Seasons

When demand surges, your technology needs to be in good shape before the rush begins. Waiting until systems are already under pressure is, technically speaking, not ideal. Also known as “how did we not see this coming?”

Start with capacity. If you use cloud-based systems, review whether your current setup can handle increased usage. Make sure storage, bandwidth, and system performance are ready for higher activity. If more staff will be working, more customers will be ordering, or more transactions will be processed, your systems need room to handle that.

Next, test your payment and checkout systems. Slow checkouts can cost sales, especially when customers are already impatient. If your point-of-sale system, payment processor, barcode scanners, tablets, or receipt printers are part of the customer experience, they should be tested before the busy season starts.

Your website also deserves attention. If your site handles online orders, appointment requests, lead forms, or product information, make sure it can handle more traffic. A website crash during a busy season is the digital version of locking the front door and wondering where everybody went.

Security matters too. Busy seasons can attract cybercriminals because they know businesses are distracted, moving quickly, and less likely to question unusual requests. Make sure updates, backups, access controls, and basic cybersecurity protections are in place before things get hectic.

Think of this like tuning up your car before a road trip. It is much easier to fix problems in the driveway than on the side of the highway.

What to Do With Technology During Slower Seasons

A slow season does not mean your technology should sit untouched. In many cases, slower periods are the best time to handle the projects that are too disruptive during busier months.

This is a good time to run major updates and upgrades. If fewer people are working or demand is lower, you have more flexibility to make changes without interrupting daily operations.

It is also a good time to replace aging hardware. Laptops, desktops, servers, barcode scanners, printers, and networking equipment do not usually fail at convenient times. Replacing equipment during a slower period is much better than discovering a critical device is dead right when you need it most.

Training also fits well into slower seasons. If you are introducing new tools, processes, or security practices, give your staff time to learn them before the next busy period. Training during a rush usually turns into “click here and hope for the best,” which is not exactly a long-term strategy.

You can also use downtime to clean up data. Archive old files, remove duplicates, reorganize shared drives, and review permissions. Messy data may not feel urgent, but it becomes a bigger problem when people are moving quickly and need to find the right information fast.

Finally, review what worked and what did not during the last busy season. If the same problem keeps showing up every year, that is not a surprise anymore. It is a pattern.

How Automation Can Help During Seasonal Changes

Automation can help keep things running smoothly when your team is busy, short-staffed, or handling changing demand.

For example, chatbots can answer basic customer questions when staff are overwhelmed or out of the office. They should not replace real support, but they can help with common questions, routing, and simple requests.

Automated reporting can also be useful. Instead of manually pulling sales, inventory, service, or staffing reports, you can set up recurring reports that show what is happening in the business. That makes it easier to spot issues early and make decisions before small problems become bigger ones.

Auto-reminders are another simple but helpful option. Reminders for customers, suppliers, staff, appointments, renewals, follow-ups, or internal tasks can prevent important details from slipping through the cracks.

Automation does not need to be complicated to be useful. Sometimes the best automation is the boring kind that quietly prevents people from forgetting things.

Why Every Business Needs a Contingency Plan

Seasonal swings are not always predictable. Sometimes demand is higher than expected. Sometimes it drops without much warning. Sometimes winter is mild. Sometimes a blizzard keeps half your staff home.

Your technology plan should account for those “what now?” moments.

Make sure remote work tools are in place and tested before your team actually needs them. That includes laptops, VPN access if needed, cloud apps, communication tools, file access, and security requirements. The day of a snowstorm is not the ideal time to discover nobody knows their login.

Keep spare equipment ready when possible. Laptops, chargers, barcode scanners, headsets, keyboards, and other everyday tools can become urgent very quickly when something breaks.

Clear communication channels are also important. Your team should know where updates will be posted, who makes decisions, and how to respond if plans need to change. If everyone is using a different text thread, inbox, spreadsheet, carrier pigeon, or “I thought someone else handled that” system, things get messy fast.

A contingency plan does not need to predict every possible problem. It just needs to make your team more prepared when reality decides to be unhelpful.

Real Talk: Seasonal Planning Is Not Just for Retailers

Seasonal technology planning is often treated like something only retailers need. But most businesses have some kind of rhythm.

Maybe you have a year-end rush. Maybe client activity drops in the summer. Maybe your busiest months depend on weather, school schedules, grant cycles, trade shows, renewals, or industry deadlines. The pattern may not be dramatic, but it still affects your staff, tools, and systems.

The real issue is not whether your business has seasons. The issue is whether your technology is ready for the way your business actually operates.

If your systems struggle every time demand increases, that is worth fixing. If your slow season passes without any cleanup, upgrades, or planning, that is a missed opportunity. And if your team only talks about technology after something breaks, well, that is certainly one way to keep Mondays interesting.

FAQs About Preparing Technology for Seasonal Business Spikes

What technology should businesses check before a busy season? Businesses should check the systems they rely on most during high-demand periods. This may include payment systems, websites, cloud storage, internet bandwidth, security tools, backups, workstations, laptops, scanners, phones, and customer communication tools.

When should a business start preparing for seasonal spikes? Businesses should start preparing before the season changes. The best time to test systems, update software, review security, and replace aging equipment is before those systems are under pressure.

How can slower seasons help with IT planning? Slower seasons are a good time to handle updates, hardware replacements, data cleanup, staff training, and process reviews. These projects are often harder to complete during busy periods because they can interrupt normal work.

Why does cybersecurity matter more during busy seasons? Cybersecurity matters during busy seasons because employees are often moving quickly and may be more distracted. That can make it easier for suspicious emails, fake invoices, access issues, or other threats to slip through unnoticed.

Does every business need a seasonal technology plan? Most businesses can benefit from one, even if their seasonal changes are subtle. A seasonal technology plan helps align systems, staffing, security, and workflows with predictable changes in business demand.

Final Thoughts

Seasonal changes are part of doing business. The question is whether your technology helps you move through those changes or gives you one more thing to deal with.

A good seasonal technology plan helps your business prepare for higher demand, use slower periods productively, stay secure, and adjust quickly when things do not go according to plan. It does not need to be complicated. It just needs to be intentional.

If you are reviewing your technology before a busy season, start with the basics: what tends to change, which systems matter most, what failed last time, and what would make the next season easier to manage.

And if you are not sure where to start, a technology assessment can help identify the systems, risks, and opportunities worth reviewing before your next busy season arrives.

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Of course, these are all normal questions for someone who doesn’t know the business. But when your team answer the same things all day, it eats into time that could be spent on more valuable work. That’s why AI voice assistants are getting so much attention right now.

And no, we’re not talking about the old “Press 1 for sales, press 2 for support” systems that everybody hates. This is something different. Modern AI voice assistants can hold a natural conversation with a caller. Instead of forcing people through rigid menus, they let callers explain what they need in their own words.

The system listens, understands the request, and responds accordingly. In many cases, the caller doesn’t even realize they’re speaking to AI right away. That’s a big step away from traditional phone automation. Older systems often fall apart the moment somebody says something unexpected. AI voice assistants are designed to handle more natural back-and-forth conversations. The better ones can connect directly into your business systems as well. So instead of simply answering questions, they can do things like:

• Book appointments


• Check account information


• Update tickets


• Send confirmations

That can make a big difference for businesses handling a high volume of routine calls. But before you rush to replace your customer service team with AI, take a moment. This technology works best in specific situations. If your business receives lots of repetitive, predictable inquiries, an AI voice assistant could genuinely save time and reduce pressure on your team. Customers get answers faster, staff spend less time repeating themselves, and people are freed up to deal with the conversations that need human judgment.

Where things become harder is when conversations are emotional, complex, or unusual. A frustrated customer with a billing dispute probably still wants a person. Someone dealing with a sensitive situation doesn’t want to feel trapped inside an automated process.

It’s a good idea to start small. Rather than automating everything, identify one narrow area where AI can help reliably. Maybe appointment bookings. Maybe basic account queries. Maybe overflow calls outside office hours. That approach gives you room to test what works without disrupting the wider customer experience.

There’s another side to this as well, and it’s important. If an AI voice assistant is accessing customer data, recordings, calendars, or internal systems, security and compliance are important. You need to know where that data is stored, who can access it, and how the system connects into your existing tools.

And not every platform handles this equally well. Some sound impressive in demos but struggle badly in the real world when there’s background noise, strong accents, industry jargon, or unexpected questions. Others create more work behind the scenes because they don’t integrate properly with the systems you already use.

Choosing the right setup is more important than choosing the cheapest option. AI voice assistants will become genuinely useful over the next few years. The technology is improving quickly, and in the right environment, it can remove a lot of repetitive work.

If you’re curious whether an AI voice assistant could work in your business, we can help you explore things carefully. Get in touch.

Published with permission from Your Tech Updates.