We just got back from Adobe Summit 2026, and the through line this year was hard to miss: Adobe changed the game through a well-timed rebrand. “CX” showed up everywhere from the keynote stage to product names. As one of the world’s largest end-to-end CX service providers, that shift hits close to home for us.

We were proud to sponsor Summit again this year and hosted several sessions across the week, including Healthcare Content Modernization in the Age of AI, plus sessions on agentic commerce with Coveo and PayPal. But the bigger story was what Adobe announced.

The pièce de résistance was Adobe CX Enterprise, an end-to-end agentic AI system designed to orchestrate the full customer lifecycle (acquisition, engagement, conversion, loyalty) under a single governance and intelligence layer. It brings together AI agents, reusable agent skills, Model Context Protocol (MCP) endpoints, and the Adobe Experience Platform stack in a way that’s meant to move enterprises beyond AI experimentation and into production.

A Revamped, Intelligent CX Ecosystem

There’s a lot under the hood. Adobe Engagement Intelligence is a new decisioning engine optimized for customer lifetime value. Along with that comes Adobe Brand Intelligence, a continuously learning reasoning engine that captures evolving brand signals from review cycles, approvals, and rejections.

Adobe CX Analytics is a unified intelligence layer that extends into LLM-powered interfaces, an increasingly important surface. Real-Time CDP profiles are being expanded to harmonize structured and unstructured data. And Adobe Journey Optimizer Loyalty adds gamified, loyalty-aware experiences to the mix.

Stitching all of that together is Adobe CX Enterprise Coworker, the part of the announcement that got the most stage time. The pitch is straightforward: you set the goal, and Coworker builds and executes the workflow to hit it, pulling the right data, activating specialized agents, sequencing steps, evaluating outcomes, and adjusting in real time.

Adobe frames Coworker as the “team captain,” coordinating across existing Adobe agents (Audience, Journey, and the rest), Adobe applications, and third-party AI platforms. Where many enterprise agents excel at single tasks, Coworker is designed to help brands transition from manual coordination to agentic orchestration. General availability is expected in the coming months.

What stood out more than anything was the architecture and the open-ecosystem move that came with it. Adobe announced expanded partnerships with AWS, Anthropic, Google Cloud, IBM, Microsoft, NVIDIA, and OpenAI, and is bringing the Adobe Marketing Agent into surfaces like Amazon Q, Anthropic Claude Enterprise, ChatGPT Enterprise, Gemini Enterprise, IBM watsonx Orchestrate, and Microsoft 365 Copilot.

The bet is clear: the winning model features governed orchestration, including tools built outside Adobe’s walls. That maps closely to what we’ve been telling clients: agentic CX only delivers value when content, data, decisioning, and human oversight are wired together with intent.

Brand Visibility in the Agentic Era

As agentic AI, LLMs, and conversational experiences reshape the customer journey, purchase decisions are being fundamentally re-routed. The LEGO® Minifigures we gave away at our booth were meant to be a bit of fun, but the metaphor holds: the brands that win will be the ones who can assemble the right pieces. CX game changers are built, not bought.

Adobe put a number on the urgency: AI-driven traffic to U.S. retail sites climbed 269% year over year in March 2026. AI agents are quickly becoming the first point of contact between brands and customers. The open question is whether your brand can be found, accurately represented, and transacted with inside an AI conversation. For decades, brands optimized for SEO. Now they also have to manage how they show up across AI surfaces, where context is just as important as content.

Adobe CX spans three products. A new brand visibility solution adds a contextual layer to Experience Manager so AI agents can reason against governed brand content. Adobe LLM Optimizer is being expanded to help teams understand, and shape, how their brand appears in AI-driven discovery. And Adobe Commerce is getting enhancements to make storefronts and product data agent-ready, as the moment of purchase moves into the conversation.

This was the angle we explored in our session at Adobe’s Commerce Café with our partners at PayPal. The data was hard to argue with: AI-referred traffic is converting roughly 31% higher and generating 254% more revenue per visit than other channels. If your payment infrastructure isn’t agent-ready, you risk being invisible at the moment of intent.

The Content Supply Chain Goes Agentic

The other arc running through Summit was content. Demand for personalized, on-brand content is accelerating faster than any team can staff, and Adobe’s response was a set of GenStudio updates aimed at making the supply chain itself agentic. Brand Intelligence sits at the foundation.

Adobe CX has been positioned less as a guardrail and more as an evolving model of what “on-brand” actually means in practice, accessible to every agent in the workflow. On top of that, Adobe announced new collaboration agents inside Adobe Workfront, an enhanced campaign brief creation canvas, and support for ChatGPT Ads in GenStudio for Performance Marketing. The content supply chain, in other words, is being extended directly into conversational advertising surfaces.

That same pressure shows up acutely in regulated industries. We hosted two sessions with Coveo this year, one on AI-powered B2B product discovery and another on healthcare content modernization, and both came back to the same point: structured, AI-ready content built on Adobe Experience Manager and surfaced through Coveo’s discovery layer is what makes any of this real in production. Adobe announced the direction. Deploying it inside a healthcare or B2B environment is the work.

Beyond the Brink: Adobe CX Is Already Changing the Game

Last year I wrote that Summit felt like the brink of a shift. This year, it felt like that shift already took shape. The vocabulary, the org chart, and the product names looked different.

Underneath all of that, the question CX leaders are asking has changed too. They’ve stopped asking, “what AI tools should we buy?”. Nowadays, they’re asking, “how do we orchestrate everything we already have, with humans and agents in the loop, in a way our customers can trust?” Questions like this are the lifeblood of our work at Concentrix. Ready to learn more about our Adobe practice and digital operations work? Let’s chat.