Adobe launches CX Enterprise to automate and scale customer experience through agentic AI

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Adobe new AI agents and orchestration tools set to automate global business workflows
Adobe new AI agents and orchestration tools set to automate global business workflows

A global software leader Adobe launched Adobe CX Enterprise, an end-to-end system designed to handle every stage of a user’s journey. This new platform manages everything from finding new clients to keeping them engaged through conversation and long-term loyalty. The system uses multiple agents and specialized skills to automate manual tasks and orchestrate complex journeys.

Built on the existing Experience Platform, this new tool uses customer data as a foundation for real-time insights. Two primary components power the system: Brand Intelligence, which tracks specific brand signals, and Engagement Intelligence, which focuses on customer lifetime value. To ensure safety, a governance layer keeps all automated workflows trackable and secure.

“Adobe’s mission to empower everyone to create has never been more relevant, and with Adobe CX Enterprise, unveiled at Adobe Summit 2026, that mission now has operational force. The ability to scale creativity and personalisation together, with intelligence and governance built in, is no longer aspirational- it is here,” said a high-ranking executive within the company’s regional leadership.

The rollout includes specialized agents for marketing, content, and engagement. Businesses can now use a skills catalogue to build modular, reusable workflows like performance analysis or campaign automation. Developers can also connect these tools to external platforms using APIs and the Model Context Protocol. The company has already confirmed that the system works with infrastructure from 7 major partners: AWS, Anthropic, Google Cloud, IBM, Microsoft, Nvidia, and OpenAI.

A standout feature called CX Enterprise Coworker acts as a coordinator for multiple AI agents. It can take 1 business goal and turn it into actions, such as sorting audience segments or creating content. For example, a team wanting to improve cross-selling would see the system assemble all the data and tools needed for the task. This Coworker feature is scheduled to become available to the public in the coming months.

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