Adobe brings CX Enterprise Coworker to Anthropic, Google, and Microsoft

Expanding the AI ecosystem

Adobe has announced that its CX Enterprise Coworker is now available within several of the world's most prominent AI platforms. This includes major integrations with Anthropic's Claude, Google's Gemini for business, Microsoft Copilot, and ChatGPT, which will host it as a plugin. The company plans to expand these connections to include Amazon Web Services (AWS), IBM, and Snowflake in the near future.

The goal of these integrations is to bring agentic AI workflows directly into the tools that thousands of enterprises already use daily. Instead of forcing teams to switch between different applications, Adobe is making its technology accessible within the user's preferred workspace. This allows marketing professionals to plan and optimize customer experiences without leaving their primary software environment.

By making these tools available across a wide variety of platforms, Adobe aims to help brands move beyond using AI in isolation. The company notes that many marketers currently lack the organizational context needed to personalize every stage of the customer lifecycle. These new connectors provide the necessary brand and channel intelligence to bridge that gap effectively.

How the agentic coworker works

CX Enterprise Coworker functions as an end-to-end agentic AI system designed to manage the entire customer lifecycle. It handles everything from acquiring and engaging new prospects to driving conversions and increasing the lifetime value of existing customers. The system is designed to power autonomous workflows while still maintaining human oversight throughout the process.

The technology is built on open and flexible standards, specifically the Model Context Protocol (MCP) and Agent2Agent (A2A). These standards allow the AI to communicate and share context with other systems and agents more easily. By using these protocols, the Coworker can execute complex tasks across different enterprise systems while staying aligned with specific brand guidelines.

One of the core capabilities of the system is its ability to provide data analysis and insights on campaign performance. It can also perform audience forecasting, optimize customer journeys, and resolve conflicts during the planning process. This helps teams improve their project management and work management by automating the more repetitive aspects of marketing orchestration.

Ready-made connectors for teams

To speed up adoption, Adobe launched new connectors that offer pre-built MCP server integrations with various ecosystem partners. These include connections to Amazon Ads, Databricks Genie, Demandbase, and a specific ads MCP server for Meta campaigns. It also includes integrations with Microsoft Work IQ, RainFocus, and Snowflake Cortex AI.

These connectors are designed to allow marketers to connect the partner systems they already use without having to perform any custom integration work. Once connected, a user can use a single request to extract data and take actions across multiple systems simultaneously. This streamlines the process of optimizing the customer experience from end to end by removing technical barriers.

The availability of these ready-made integrations means that companies can start seeing results faster than they could with custom-built solutions. By providing a plug-and-play experience, Adobe is lowering the barrier to entry for complex agentic AI. This allows teams to focus on strategy and creative execution rather than the underlying technical plumbing of their software stack.

Partnerships and customization

Adobe is collaborating with a wide range of global systems integrators (GSIs) to build and scale customized agentic AI solutions. Companies like Accenture, Capgemini, Cognizant, Deloitte Digital, EY, IBM, Infosys, PwC, and TCS are involved in these efforts. These integrators help enterprises connect Adobe with their broader technology ecosystems to turn AI experimentation into actual business value.

In addition to systems integrators, several major advertising and marketing agencies are also leveraging the platform. Agencies including dentsu, Havas, Omnicom, Publicis, Stagwell, and WPP are personalizing the CX Enterprise Coworker with their own proprietary intellectual property. They are adding their own agents, tools, and industry expertise to deliver tailored experiences for their joint clients.

This multi-layered approach ensures that the technology can be adapted to specific industries and unique business needs. While the core platform provides the infrastructure, the partners provide the specialized knowledge required for different markets. This collaborative model allows for a more diverse range of applications, from high-level strategy to specific, industry-centric execution.

The next frontier of productivity

The integration of CX Enterprise Coworker into major platforms represents a shift toward a collaborative, agent-to-agent approach. Rao Surapaneni of Google Cloud stated that this represents the next frontier of productivity for the modern enterprise. This move signals a move away from simple chatbots toward systems that can act on behalf of users.

By connecting intelligence across customer data, content, journeys, and enterprise systems, Adobe aims to give marketing teams more speed and flexibility. The goal is to move organizations from simply gaining insights to taking immediate action. This is achieved by putting agentic AI to work across the entire customer experience rather than just one small part of it.

Looking ahead, the expansion to AWS, IBM, and Snowflake will further solidify the reach of these agentic workflows. As more brands adopt these tools, the focus will likely shift toward how these autonomous systems can best protect brand integrity. Adobe is positioning itself as a leader in this space by helping over 20,000 brands manage their content supply chain and customer engagement.