That’s where Perficient comes in. We’ll be on the Summit floor at Booth #2422 with live, industry-specific demos that cut through the noise and show what it looks like when your Snowflake investment is performing the way it was designed to. Our focus this year centers squarely on one of Snowflake’s most powerful and most underutilized capabilities: Cortex Code.

Cortex Code: The AI Assistant That Actually Knows Your Data

If there’s one Snowflake capability that deserves serious attention heading into Summit, it’s Cortex Code — Snowflake’s AI-driven development assistant that went generally available earlier this year and has already been adopted by more than 50% of Snowflake customers.

Cortex Code is the throughline of our presence at Summit, but it comes to life through industry-specific demos that connect the platform’s capabilities to the real problems your organization is trying to solve. Our team will be on the floor to walk you through live demonstrations across financial services, retail, manufacturing, and healthcare.

Content Flywheel Engine — See how Snowflake Cortex AI automatically identifies what your customers are asking but can’t find answers to, clusters those gaps into actionable content themes, and dispatches AI-generated briefs to Writer for publishing. This demo is built for digital marketing and content teams who want to close the loop between customer’s search intent and targeted content on the site — using semantic clustering, AI-driven content briefs, and automated dispatch to Writer AI Studio, all orchestrated natively inside Snowflake.

Investment Advisory Solutions — See how Snowflake and Cortex AI power intelligent, data-driven advisory workflows. This demo is built for financial services teams who want to understand how to bring client data, market signals, and AI-driven intelligence together in a single governed environment — and get it in front of advisors at the moment decisions are made.

Retail & Inventory Analytics — Snowflake’s experience lets retail teams ask inventory and operational questions in plain language and get answers that drive real decisions. This demo shows what it looks like when your merchandising, supply chain, and operations teams don’t need a BI analyst standing between them and their data.

AI Healthcare Data — Healthcare organizations face a unique convergence of data complexity, regulatory constraint, and the enormous promise of AI to improve patient outcomes. This demo explores how AI-powered interactions are transforming patient engagement and clinical data workflows — making the data infrastructure work as hard as the clinical teams it supports.

Migration Launchpad — For organizations still making the move to Snowflake, or those who’ve migrated but haven’t fully activated the platform, this demo shows the practical path from where you are to where you need to be — fast.

Each demo is anchored in what’s actually running in production for Perficient clients. The question our team will be there to answer isn’t just “can Snowflake do this?” — it’s “here’s exactly how we’ve made it work, and here’s what that means for your environment.”

If you’re attending Snowflake Summit 2026, find us on the floor and bring your hardest questions — about Cortex Code, about getting AI into production, about what the path from enterprise data engineering to agentic AI actually looks like when someone has already walked it.

The demos are live. The use cases are real. And we’re ready to show you what’s possible when you stop leaving value on the table inside the platform you’ve already built.

The post Your Data is Ready, Your AI Can Be Too: Perficient at Snowflake Summit 2026 appeared first on Perficient Blogs.

That is why Perficient is proud to sponsor Salesforce Connections 2026. We help enterprises modernize Salesforce, activate real time data, and design journeys that scale personalization with confidence. If you want to move faster without sacrificing trust, measurement, or governance, let’s connect in Chicago.

Why Connections?

Most marketing systems were not built for today’s pace. Teams often stitch together tools, operate on delayed signals, and struggle to translate engagement into decisions. Meanwhile, customers expect relevance in the moment, across every channel.

At Connections, we will share how organizations can:

• Modernize Salesforce foundations to support constant change
• Activate real-time data to improve timing, intent, and engagement
• Use agentic AI to scale execution and improve decision-making
• Build customer experiences that stay personal as the business grows

Join us for live conversations, strategy discussions, and a featured session built around one idea: marketing becomes a growth engine when sales activity, engagement, and execution connect in real time.

Connections 2026: Where to find Perficient

• Keynote Breakfast Watch Party at Fatpour Tap Works McCormick
  • Wednesday, June 3 | 8:30 – 11:30 A.M.
  • Start your day with breakfast and a live stream of the Connections keynote alongside executives | Registration opening soon
• Welcome Happy Hour at Fatpour Tap Works McCormick
  • Wednesday, June 3| 7:00 – 9:00 P.M.
  • Keep the conversation going with cross-industry leaders over great drinks | Register
• Agentic Front Office: Powering Marketing as a Growth Engine | Breakout Session
  • Wednesday, June 3 | 4:00 – 4:40 P.M.
  • Marketing is changing fast. Led by our director of agentic transformation, Chelsea Monda, this session explores how organizations build flexible Salesforce foundations and position marketing teams for what comes next | Learn More
• Executive Strategy Space
  • Meet with our team on the Connections floor to get your marketing and Salesforce foundation ready for what’s next | Schedule

Industry Insight, Plus a Fast Path to Better Salesforce Performance

We help organizations lead change with Salesforce, grounded in what matters most in their industry.

• Automotive and manufacturing: Connect product, service, and customer data to accelerate loyalty and new revenue models.
• Financial services: Activate trusted customer context to drive timely, compliant, high value engagement.
• Technology, media, and telecommunications: Use customer and usage data to scale monetization and adaptive experiences.

If performance or technical debt is slowing you down, our Swantide AI Powered Action Lab helps deliver prioritized recommendations to improve stability and performance.

Meet Perficient in Chicago: Production, Not Pilots

Join us at Salesforce Connections and connect with the Perficient team on site. Let’s map the next best steps for your Salesforce roadmap and marketing transformation.

The post Marketing Built for Constant Change: Perficient at Salesforce Connections 2026 appeared first on Perficient Blogs.

A lot has changed since then, including the introduction of Adobe’s Edge Delivery Services (EDS) and Universal Editor (UE).  Before I jump into what’s new, let’s review why some teams are looking to go headless after many years of headful experiences.

1. They need content creation and management shared by multiple downstream apps. This is often referred to as multi-channel content.
   • Traditionally, this has been supported by Adobe’s Content Fragment technology.
2. The engineering teams want declarative components (SPA-like experiences) rendered server-side.
   • AEM does not yet have native support for server-side rendered declarative component frameworks like Next.js. Today, Edge Delivery Services and traditional component development both utilize imperative components.  We’ll have to wait and see if this changes in the future.
3. The engineering teams do not have as much AEM development experience as with their preferred stack.
   • This can pose a risk to cost and time-to-market. However, moving headless introduces custom implementation work such as cache refresh, authentication, content retrieval integration, and content route mapping that may lengthen the timeline regardless.

Headful

If you do not have any of the above headless requirements and no existing AEM components, I recommend Adobe’s latest “Headful” solution utilizing Edge Delivery Services to render static HTML + CSS + JS at the edge of the network.  The rendered pages are very fast with strong Core Web Vitals scores.  Teams typically need only light training to implement the authoring instrumentation, so I would recommend it even to teams without traditional AEM development experience.

If you have existing AEM componentry, AEM as a Cloud Service with traditional component development is still supported.  A Hybrid AEM approach remains an excellent way to build Headless integrations on top of existing Headful implementations.

However, for new sites or redesigns, Edge Delivery Services is a clear winner.

Headful Recommendation: Edge Delivery Services for New Implementations

Headless / Hybrid

In 2026, Headless is a much stronger contender than it was just a few years ago.   You no longer need a Hybrid architecture to retain WYSIWYG, in-context authoring.  Adobe has introduced the Universal Editor, a powerful tool to author AEM content directly on top of a downstream web application.

In a headless model, authors create Content Fragments in AEM, expose them through GraphQL APIs, and downstream applications retrieve and render that content.  Universal Editor adds the capability to open a downstream page that contains those fragments.  If the page is instrumented for authoring, authors can add, delete, and edit Content Fragments directly in the context of the rendered application.  They no longer need to swap back and forth to view the changes.

This gives engineering teams the freedom to use their preferred technology stack, while still providing authors with the speed and familiarity of AEM’s in-context editing experience.

Headless Recommendation: Universal Editor

 Now, what you might notice about headless requirements 2 and 3 is that these are not content-driven requirements.  These requirements are driven more by technology and team preference.  Why is that important?  Well, content fragments were primarily designed to solve a multi-channel use case.  They’re not inherently attached to any page, which creates content management challenges.

1. How does an author track usage of those content fragments downstream from the CMS? This often requires a custom solution like beacon analytics.
2. Useful AEM tooling like Multi-site Management, Page moves, Metadata authoring, and Page Publish Workflows are not available out of the box for Content Fragments.
3. Link checker no longer functions because AEM does not have any inherent knowledge of the downstream routes.
4. Downstream applications pull in fragments by name or by query. This creates a process where CMS authors must adhere to a “mapping pattern.”  This involves either a strict content fragment naming standard or a uniquely generated name field that is consumed programmatically downstream.
   • If it’s a generated name, this creates a strict author-to-developer handoff process for new pages or content sections.
   • For example, if the downstream application wants to pull a particular component for the home page, what path or name does it look for the fragment in the CMS?
5. Existing AEM authors are typically more experienced with creating and managing pages instead of content fragments.
6. It creates a platform disconnect. Authors must navigate to AEM to create Content Fragments, but navigate to the downstream application or the Universal Editor to view changes in context.

But Wait, There’s Good News!

We don’t have to use content fragments alone or at all.  The Universal Editor also supports writebacks to AEM page-based resources.  This solves many of the experience challenges we have with headless implementations.  We can learn from the architectural patterns of an AEM Hybrid implementation and apply them in detail next week.

For more information on how Perficient can implement your dream digital experiences, we’d love to hear from you. We’re certified by Adobe for our proven capabilities, and we hold an Adobe Experience Manager specialization (among others).  Contact Perficient to start your journey.

The post Headful or Headless AEM: Revisited for 2026 appeared first on Perficient Blogs.

Here are some of my top learnings and takeaways, which I fully expected but were firmly confirmed after attending the sessions, labs, and co-hosting my own Ask Me Anything session on the topic of Agentic AI.

1. The Rise of Customer Experience Orchestration: Adobe CX Enterprise & CX Coworker

One of the most significant announcements at Summit was the shift from traditional marketing to full-lifecycle Customer Experience Orchestration (CXO) with the introduction of Adobe CX Enterprise. This agentic system is designed to unify the content supply chain, customer data, and brand visibility into a cohesive platform optimized for both humans and AI agents.

A feature within this ecosystem that I’m particularly interested in is the CX Enterprise Coworker. It’s more than just an automated chatbot. It sits alongside the authoring experience, serving as a persistent “AI teammate.” You provide the business goal, like launching a campaign, and the Coworker builds and executes the workflow behind the scenes. It continuously monitors performance signals, adjusts actions in real time, and orchestrates specialized agents (such as Audience or Journey Agents) to keep projects moving efficiently without constant manual oversight.

2. Conversational Content Authoring & Migration with DA.live

Content operations are getting easier and quicker with natural language processing. With the new Document Authoring (DA) MCP Server, AEM has introduced conversational content authoring in DA.live. The Model Context Protocol (MCP) provides tools and prompts that allow AI agents to interact directly with AEM services, which will drastically simplify agentic content creation and management.

Instead of manually clicking through a traditional AEM interface, authors can use chat interfaces to ask the system to perform complex tasks, like finding all pages missing a specific component or updating campaign banners across a microsite.

In addition, a new interface “Experience Workspace” provides a new canvas to author and preview content, while a browser extension is also being developed to assist in migrating content to EDS-friendly component blocks and styles.

For content migration, Adobe showcased the Experience Modernization Agent. This tool automates the migration of legacy websites to cloud-ready formats, helping teams onboard to Edge Delivery Services through a simple chat interface that iterates on updates in real-time.

3. Keynote Spotlight: The New Rules of Brand Visibility

If there was an “ah-ha” moment for attendees at the conference this year, then this was it. The day two keynote, “The Elevated Brand Experience: Orchestrating Discoverability for the Agentic Web,” focused on what we should all be hyper-focused on now: AI agents are increasingly browsing catalogs and evaluating specifications on behalf of human buyers. This means that traditional SEO is no longer enough; brands must now optimize for Generative Engine Optimization (GEO). I’ve been highlighting this more as we ask customers about their GEO strategy, and Adobe stressed this even further.

Because AI hallucinates when it encounters unstructured data, websites must now feature “Self-Describing Content.” This was also a main point in Tom Cranstoun’s recently published book, “MX: The Handbook.” The keynote emphasized that building “Computational Trust” with AI models requires pristine underlying code structures and semantic metadata. To help enterprises manage this, Adobe highlighted the LLM Optimizer, a tool that automatically identifies where content is invisible to AI and deploys optimizations so your brand remains cited, relevant, and prominent in agent-driven search results.

4. Vibe Coding for Edge Delivery Services (Lab L613)

Probably one of my favorite sessions and targeted to developers, the hands-on lab “L613: Vibe Code an Author Experience for Edge Delivery Services” was an absolute highlight. The session demonstrated that developing with AI coding agents (like Cursor, which we used in the Lab) for Edge Delivery Services requires proper orchestration so agents don’t make assumptions about your project’s structure.

To make agentic development super-productive, developers can inject context into their projects using AGENTS.md and llms.txt files, which feed AI agents proper project conventions and AEM best practices. The lab also showcased the use of specialized “Skills,” such as the content-driven-development skill, which acts as a mini-playbook forcing the AI to create test content before writing block code, ensuring the AI agent correctly models the content, implements CSS, and reviews the output against established patterns. We built some experiences in less than an hour, which I would have estimated to take days in traditional development cycles.

Looking Ahead After Adobe Summit

Adobe Summit 2026 made it clear that we are moving from AI assistants to true orchestrators. Focusing on these new agentic workflows, conversational authoring interfaces, and GEO strategies, we fully expect brands to scale their content supply chains and secure their discoverability in the agentic web. The agentic web isn’t just coming—it’s already here. It’s time we start building for it. If you’re wondering how to prepare your AEM architecture for the agentic web, or want to discuss your GEO strategy, let’s connect.

The post Top Adobe Summit 2026 Takeaways: Architecting Content, Code, and Brand Discoverability for the Agentic Web appeared first on Perficient Blogs.

We’re coming with a message that is critical for Databricks customers, and demos that prove what’s possible when you stop underutilizing the platform you’ve already invested in. 

The Problem No One Talks About Enough 

As a Databricks Gold Partner, we don’t just implement the platform — we help our clients activate it. There’s a meaningful difference, and that gap is exactly what we’re addressing at this year’s Summit.  

Our Lightning Talk — From Second Gear to Full Throttle: Unlocking Trapped Value in Your Databricks Investment — walks the audience through the real journey of a $30 billion building products distributor with more than 1,700 locations. 

The session reveals how this organization went from three products in use to more than ten in production — not by migrating to new tools, not by rebuilding their architecture, and not by buying additional licenses. They did it by activating the platform they already owned. And they did it across two simultaneous workstreams that together tell the complete story of modern enterprise data and AI transformation. 

Come Find Us at Booth #434 

The lightning talk is where the framework comes to life in story form. Booth #434 is where you can see it in action, hands-on, across the industries and use cases most relevant to your organization. 

Perficient’s booth is built around live, industry-specific demos spanning financial services, retail, manufacturing, and healthcare — alongside our Brickbuilder accelerators, which are designed to compress time-to-value on the Databricks platform. Here’s a preview of what you can experience at the booth: 

Investment Advisory Solutions — See how Databricks can power intelligent, data-driven advisory workflows that give financial services firms a competitive edge in client engagement and portfolio intelligence. 

Retail & Inventory Analytics with Genie — Watch Databricks’ Genie natural language interface transform how retail teams interact with inventory and operational data. Ask questions in plain language, get answers that drive decisions.

Battery Passport – Discover the digital record that tracks an electric vehicle’s battery lifecycle, including its condition, health, and performance to provide critical insights to consumers, OEMs, dealers, insurance companies, and regulatory bodies. 

AI Healthcare Data — Explore how AI-powered interactions are transforming patient engagement and clinical data workflows. This demo speaks directly to healthcare organizations grappling with how to make their data infrastructure work as hard as their clinical teams do. 

Migration + Lakehouse Launchpad — For organizations still in the process of moving to Databricks or struggling to get their lakehouse off the ground, this demo shows the practical path to platform activation — fast. 

Why Perficient at Data + AI Summit 2026 Matters 

As a Databricks Gold Partner, our job isn’t to tell you what the platform can do in theory. It’s to show you what it’s already doing for enterprises like yours — and help you close the distance between where you are and where you’re trying to go. 

The lakehouse promise — unified data, deployed AI, measurable value — is real. But the execution is harder than the pitch, and the organizations that are pulling ahead aren’t the ones with the newest tools. They’re the ones with the most activated platforms. 

If you’re heading to Data + AI Summit 2026, here’s what we’d encourage you to do: 

• Attend Perficient’s lightning talk and walk away with a framework you can apply immediately 

• Stop by Booth #434 to see live demos tailored to your industry 

• Connect with our team about where your organization is on the activation curve — and what unlocking the next layer of your Databricks investment could mean for your business

The post Connect with Perficient at Databricks Data + AI Summit 2026 appeared first on Perficient Blogs.

Brickbuilder Specialization: Security & Governance 

Data governance isn’t a compliance checkbox. It’s the foundation that determines whether your organization can scale AI, maintain trust, and operate across regulatory boundaries without breaking. Most enterprises run scattered governance models that fragment security, slow analytics, and block AI adoption before it starts. 

Perficient’s Databricks Brickbuilder Specialization for Security & Governance recognizes our deep expertise in helping organizations confidently secure, govern, and scale their data and AI on the Databricks Data Intelligence Platform. With Unity Catalog at the center, we build governance frameworks that enable security without sacrificing speed. 

We empower enterprises to: 

• Establish unified, enterprise-grade governance frameworks across data, analytics, and AI workloads 

• Strengthen security with fine-grained access controls and automated data lineage tracking 

• Improve data quality, trust, and discoverability with consistent governance patterns across domains 

• Enable secure, seamless data sharing across clouds and partners with Delta Sharing 

• Empower business teams with AI-driven insights through AI/BI Genie and AI-powered dashboards built on governed data 

• Monitor and optimize platform health, performance, and cost with native Lakehouse Observability 

We deliver governance that scales with your business — not against it. 

Brickbuilder Specialization: Data Warehouse Migration

Legacy data warehouses trap data in silos, slow modernization efforts, and break when you try to scale. Most migration approaches either lift-and-shift technical debt into the cloud or drag timelines into multi-year efforts that never fully deliver. Neither model works. 

Perficient’s Databricks Brickbuilder Specialization for Data Warehouse Migrations recognizes our proven expertise in modernizing legacy data warehouses and migrating organizations to the Databricks Data Intelligence Platform. Through our Agentic Migration Factory and specialized frameworks, we transform migration from a risk-heavy project into a repeatable, accelerated path to modern lakehouse architectures. 

We empower enterprises to: 

• Migrate from legacy systems and cloud warehouses to modern lakehouse architectures that unify analytics and AI 

• Accelerate migration timelines and reduce costs using pre-built code and automated tools 

• Leverage Unity Catalog and Databricks SQL for unified analytics, AI workloads, and improved performance 

• Move beyond “lift and shift” to true data modernization with enhanced reliability and cost-efficiency 

• De-risk complex migrations with repeatable frameworks that reduce manual effort and technical complexity 

• Apply an agentic approach to data warehouse migrations with proprietary IP and accelerators 

We deliver migrations that modernize your data infrastructure — transforming legacy constraints into competitive advantages with speed, precision, and proven methodology. 

Brickbuilder Specialization: AI

Most AI initiatives stall in pilot mode. The challenge isn’t model sophistication — it’s building AI systems that perform reliably in production, govern effectively, and scale across the enterprise. Fragmented tools, incomplete data foundations, and unclear operationalization paths keep AI stuck in experimentation. 

Perficient’s Databricks Brickbuilder Specialization for AI recognizes our deep expertise in deploying Generative AI, machine learning, and agentic solutions on the Databricks Data Intelligence Platform. Using Databricks, we move from AI experimentation to operationalized AI outcomes with proven accelerators designed for enterprise complexity. 

With Brickbuilder Accelerators and specialized frameworks, we empower enterprises to: 

• Build production-grade AI agents with a focus on creation, evaluation, governance, and deployment 

• Accelerate time to value with pre-built code and industry-specific AI solutions 

• Enrich models tailored to unique datasets for summarization, classification, and beyond 

• Deploy AI-driven analytics for healthcare, life sciences, financial services, and retail sectors 

• Scale Generative AI and machine learning initiatives with confidence on trusted data foundations 

We deliver AI that moves beyond experimentation — transforming AI potential into measurable business impact with speed, precision, and industry expertise. 

What Brickbuilder Specializations Mean 

Databricks Brickbuilder Specializations validate more than technical capability. They confirm proven delivery, measurable outcomes, and deep expertise in the domains that determine whether data and AI initiatives succeed at scale. 

Our three specializations reflect what we deliver every day: security and governance frameworks that enable scale without breaking compliance, migration expertise that modernizes legacy systems without multi-year timelines, and AI capabilities that move from pilots to production. 

These aren’t credentials we pursued for marketing. They’re recognition of the work we’ve already delivered — and validation of the outcomes our clients rely on. 

Building on a Foundation of Proven Expertise 

As a Databricks Gold Partner with over 200 certified professionals, 6 Databricks Champions, and now 4 Databricks specializations, Perficient delivers unified data, analytics, and AI systems that perform under operational pressure. 

We don’t chase certifications. We pursue outcomes — solutions that hold up in production, scale with your business, and deliver measurable results on the Databricks Data Intelligence Platform. 

Ready to transform your data and AI from potential to production? 

Learn more about our Databricks capabilities 

The post Perficient Achieves Databricks Brickbuilder Specializations appeared first on Perficient Blogs.

Why Execution Is the Real Challenge in AI Automation

Across healthcare, financial services, and other regulated industries, most organizations are actively exploring generative AI, automation, and intelligent workflows. The challenge isn’t generating ideas — it’s getting them into production environments where scale, compliance, and operational complexity all apply at once.

That’s where delivery excellence matters most. Designing solutions that perform during a demo is one thing. Building Appian AI automation solutions that hold up under real operating conditions is something else entirely.

In practice, our approach to Appian engagements is grounded in this reality: rather than deploying AI as a standalone capability, we build it into how work actually gets done — with the right guardrails, training, and long-term support so teams can scale without things breaking down.

How We Deliver AI-Powered Healthcare Solutions with Appian

This year’s Appian Delivery Excellence Award highlights a project we completed with a large U.S. health insurance plan. The goal: modernize a legacy member portal and deliver a secure, mobile-enabled digital experience — within an accelerated six-month timeline. To achieve this, we focused on two outcomes: increase meaningful member engagement and reduce operational strain on customer care teams.

Our solution embedded Appian AI capabilities where they would matter most:

• AI-driven document ingestion reduced manual handling and improved accuracy across downstream processes
• AI agents delivered proactive, personalized healthcare guidance to members navigating their plans
• Unified workflows simplified access to plan, provider, and member information — for members and internal teams alike

We built a portal ready to scale across the enterprise from day one.

The Outcomes: Measurable ROI from Appian Low-Code Delivery

The impact was immediate. Members adopted it at a rate above 30% — a clear sign we built the experience around how they actually want to engage. As a result, customer care requests dropped by 25%, freeing teams to focus on higher-complexity interactions. The project also significantly reduced technical debt, leaving the client with a modern platform built to grow.

What Three Consecutive Appian Partner Awards Tell Us

Being recognized by Appian for delivery excellence three years in a row reflects something we care about deeply: executing well, not just advising well. Appian creates the conditions for speed. Perficient’s delivery discipline is what makes that speed sustainable and the outcomes durable.

We’re grateful to Appian for this recognition and to the client and internal teams who made it possible. Ultimately, as AI capabilities continue to evolve, we stay focused on one question: not what’s possible, but what’s operational — and what’s built to last.

Want to learn more about how Perficient approaches AI-enabled modernization in healthcare? Explore our Healthcare capabilities or reach out to connect with our team.

The post Perficient Wins Appian 2026 Delivery Excellence Award for Third Consecutive Year appeared first on Perficient Blogs.

Each MVP has made a clear impact through their craft, collaboration, and contributions to the broader Coveo community. Their recognition speaks to the quality of the work they deliver and the value they create for our clients and partners.

Meet Our 2026 MVPs

Perficient’s Strategy & Growth MVPs

Coveo Strategy & Growth MVPs are recognized leaders who shape how we go to market with Coveo through strategic collaboration, co-selling, and driving measurable business growth. Our four MVPs share their thoughts on what this designation means to them, to our partnership with Coveo, and what they are looking forward to in 2026.

Eric Walk, Vice President
“Being named an inaugural Coveo Strategy & Growth MVP is meaningful recognition of the real work done together to shape go‑to‑market execution, co‑selling, and business outcomes with Coveo. It reflects sustained partnership and measurable impact. I’m especially proud that Perficient is represented by 15 MVPs this year, underscoring the depth and consistency of our team’s contribution.”

Eric Immermann, 6x MVP, Director
“Receiving the Coveo MVP recognition for the sixth consecutive year is a true honor, and being named a Coveo Strategy MVP in its inaugural year makes this one especially meaningful. Both recognitions reflect the expertise and dedication our team brings to helping clients maximize the full potential of the Coveo platform, spanning hands-on technical delivery and long-term strategic vision. Congratulations to my fellow MVPs at Perficient; your continued commitment to thought leadership and technical excellence is what makes our search practice second to none and strengthens the Perficient + Coveo partnership year after year.”

Patrick Hoeffel, Sr. Technical Architect

“It feels very gratifying to be part of the strong team of Coveo experts at Perficient. I look forward to continuing to help deploy Coveo’s AI-enriched search platform to customers who can benefit from what it offers.” 

Zachary Fischer, Sr Solutions Architect
“Coveo is continuously pushing the boundaries of what empowered SMEs and AI can accomplish with contextual relevance. They are the best partners to work with, fully collaborative, open, and outcome-driven. I’m honored to be a part of the collaboration.” 

Perficient’s Technical & Implementation MVPs

Coveo Technical & Implementation MVPs are recognized leaders who bring Coveo to life through high-quality implementations, technical expertise, and a strong focus on delivering impactful customer outcomes.

Reflections from our 2026 Technical & Implementation MVPs

Every year, the Coveo MVP program shines a spotlight on individuals who go above and beyond to deliver meaningful, real‑world impact with powerful search technology. This year’s newly recognized Technical & Implementation MVPs exemplify what it means to combine deep expertise, constant curiosity, and a genuine commitment to the Coveo community.

As partners, we see firsthand how challenging it can be to implement search and relevance at scale—balancing business goals, technical complexity, and ever‑evolving customer expectations. That’s why recognizing the people who consistently rise to that challenge feels especially important. We asked our new MVPs what this recognition means to them, and their reflections speak volumes about the passion and dedication behind their work.

For Ashwini S Bhave, earning MVP status for the first time is both a personal and professional milestone. She sees the recognition as “a proud moment that recognizes years of hands‑on implementation, continuous learning, and seeing the impact of Coveo projects in real environments.” Being named a Coveo MVP, Ashwini shared, “motivates me to keep pushing myself to build, innovate, and contribute even more to the Coveo community.”

That drive to push the platform further is echoed by Paul Anderson, who approaches every project with a clear goal: delivering “the best Coveo search experience possible” for his employer and clients. Having his work recognized at an MVP level is deeply validating for Paul. It reinforces the idea that “having my Coveo work recognized as MVP‑level accomplishments is quite validating” and encourages him to keep pushing boundaries and exploring how far Coveo can go.

For Randeep Singh, the MVP award is both an honor and a commitment. Being selected for the program affirms the quality and impact of his work and strengthens his excitement about what comes next. Randeep looks forward to continuing his collaboration with Coveo, helping bring leading‑edge search capabilities to customers and enabling experiences that feel effortless, intuitive, and intelligent.

Community plays a central role in the MVP experience, and Ryan Weeber highlights that aspect clearly. For Ryan, this recognition is especially meaningful because it reflects the work he truly enjoys—“solving hard problems and sharing knowledge with a great community.” As he looks ahead, Ryan is excited to “look forward to another year of building smarter experiences with Coveo.”

Looking toward the future is also top of mind for Shweta Zilpe, who sees the MVP award as an important milestone in her journey. The recognition inspires her to keep raising the bar and striving for excellence in every implementation. Shweta is energized by the opportunities ahead, especially the chance to help shape smarter, more meaningful experiences for customers as we move into 2026 and beyond.

Together, these MVPs represent the best of what makes the Coveo partner ecosystem so strong: technical excellence, customer‑first thinking, and a genuine desire to learn and share. Their recognition is not just a celebration of past accomplishments, but a signal of the innovation and impact still to come.

Learn More About Our Coveo Expertise

Perficient partners with organizations to design and deliver connected digital experiences powered by intelligent search and personalization. Our team brings deep platform knowledge, strategic insight, and hands‑on implementation experience to help clients create experiences that are easier, faster, and more intuitive.

To learn more about Perficient’s Coveo solutions, visit our Partner Page.

The post 15 Perficient Colleagues Recognized as 2026 Coveo MVPs appeared first on Perficient Blogs.

Medical cost pressures persist, and expectations around AI continue to rise. Consumers are paying closer attention, with a growing emphasis on fairness, transparency, and accountability. As a result, technology decisions increasingly shape not just operational performance, but long‑term trust across the healthcare ecosystem. 

That reality is reshaping how modernization unfolds. Progress is less about experimentation and more about applying proven capabilities with discipline. This means implementing systems that perform in real insurance operations, deliver measurable outcomes, and scale responsibly over time. 

Against this backdrop, we are proud to share that Perficient has been included in the IDC Market Glance: Payer report for the third consecutive year, which we believe reflects our continued alignment with the capabilities health insurers need to modernize responsibly and competitively. 

IDC Market Glance: Payer, 1Q26

Perficient has been included in the IDC Market Glance: Payer, 1Q26 report (Doc# US54226326) under the following categories: 

• IT Services 

IDC defines IT Services as: Systems integration organizations providing advisory, consulting, development, and implementation services. Some IT Services firms also have products/solutions. 

• Data Platforms / Interoperability 

IDC defines Data Platforms/Interoperability Firms as: Firms that provide data, data aggregation, data translation, data as a service and/or analytics solutions; either as off-premise, cloud, or tools on-premise used for every aspect of operations. 

We believe this third consecutive year of inclusion reflects our continued work helping health insurers connect intelligence, data, and experience to reduce costs, improve member engagement, and accelerate measurable outcomes. Our AI-driven approach and deep industry expertise empower organizations to modernize with confidence and deliver more empathetic, trusted member experiences. 

The Current Reality for Health Insurers

How We Support Insurers Through Responsible, Outcome-Driven Transformation

The question facing health insurers is shifting to execution — how to modernize with discipline, transparency, and cost control. 

Perficient works with health insurance organizations to connect strategy to execution across IT services and data platforms. We help insurers deploy AI that performs under scrutiny, build data foundations that support both compliance and innovation, and implement systems that scale without destabilizing existing operations. 

To us, our inclusion in the IDC Market Glance: Payer, 1Q26 report for the third consecutive year reflects a sustained focus on helping health insurers modernize with discipline — balancing AI and innovation with accountability, automation with transparency, and data ambition with operational control. 

Organizations that approach modernization with this level of rigor will see measurable outcomes sooner — and earn greater trust across the healthcare ecosystem. See how Perficient applies AI‑first strategies to help healthcare organizations modernize with confidence.

Explore how stronger collaboration is helping health insurers improve outcomes, reduce friction, and navigate change: The Collaboration Edge for Health Insurers

The post Perficient Included in IDC Market Glance: Payer, 1Q26 for Third Consecutive Year appeared first on Perficient Blogs.

Most enterprise AI projects don’t make it past the pilot stage. That’s the baseline reality heading into Appian World this year.

It’s not a lack of ambition or investment. Healthcare, financial services, and other regulated industries are actively testing generative AI, automation, and intelligent workflows. The problem is execution. Promising proofs of concept stall out when they hit real workloads, compliance requirements, or the messiness of legacy systems.

The gap between experimentation and deployment is where most AI strategies break down.

When AI Meets Operational Reality

The pattern is consistent. A pilot works in isolation but fails when integrated into live workflows. Automation runs smoothly until it encounters regulatory pressure or data governance requirements that weren’t baked in from the start. Change management becomes a blocker because no one designed for how teams really do their work.

The organizations getting real value from AI aren’t just testing ideas—they’re grounding them in process from day one. They’re designing around how work actually gets done, not how it should get done in theory. And they’re building systems that hold up under volume, complexity, and scrutiny.

“Most organizations are still treating AI like a standalone tool. That’s the problem.” – Craig Peterson, Director, AI Workflows

That shift—from testing possibilities to deploying what works—is what we’re focused on at Appian World.

Where Automation Creates Leverage

The highest-impact use cases in healthcare and other industries aren’t flashy. They’re tactical.

Prior-authorization processes that move faster without compromising compliance. Referral workflows that reduce administrative burden instead of shifting it. Member portals that feel useful, not transactional.

“AI delivers real value when it’s embedded in process automation—whether you’re calling an AI agent or using generative AI inside an automated workflow. Our clients taking that approach are seeing measurable returns. The ones experimenting with AI in isolation keep getting stuck at the pilot stage.” – Craig Peterson, Director, AI Workflows

What makes these work isn’t AI alone. It’s intelligent automation combined with workflow orchestration and platform capabilities that let teams adapt without rebuilding from scratch.

At Perficient, our work with Appian reflects this approach. We’ve built accelerators using Appian Agents and Doc Center to automate document-heavy, high-friction processes—prior authorization, referrals, mailroom operations, and self-service portals. These solutions reduce friction across provider, insurer, and consumer interactions—enabling smoother experiences without compromising the governance and control these environments require.

The result isn’t just speed. It’s predictable workflows, consistent outcomes, and systems operational teams can trust.

AI Built To Perform Under Pressure

One thing many AI discussions gloss over: how solutions behave when scale, regulations, and variability all hit at once.

Healthcare and other industry leaders are prioritizing platforms and partners that support:

• AI-enabled decisioning without brittle custom code
• Automation that reduces effort while preserving transparency
• Experiences that improve satisfaction without adding operational complexity

This is where low-code platforms like Appian—and partners who’ve deployed them at scale—matter. Speed is important. Durability is what separates pilots from production systems.

Why We’re At Appian World 2026

Appian World brings together teams actively working through these challenges. It’s a chance to see how organizations are using AI and automation to solve real operational problems—and learn from those who’ve already made the move from ambition to execution.

It’s also where the more useful conversations happen. What worked. What broke. What teams would do differently if they started over.

Perficient will be at Appian World 2026 sharing how we help organizations accelerate time to value while building solutions designed to last. If you’re attending, stop by booth #209. We’ll talk through what execution looks like in your environment—and what it takes to scale AI for measurable results.

Ready to move past the pilot stage?

See how we help organizations deploy AI that actually scales—from healthcare automation built for compliance to moving enterprise AI projects into production.

The post From AI Ambition to Real Outcomes: What We’re Watching at Appian World appeared first on Perficient Blogs.