Adobe Inc. is extending its artificial intelligence offerings for enterprise users with a new generation of AI agents it has designed to help businesses automate customer-experience workflows and marketing operations.
The company’s latest release builds on the Adobe experience platform (AEP). Adobe said it connects real-time customer data, content and workflows across its experience cloud suite. The new agents are part of a broader system called the AEP agent orchestrator, a reasoning engine that coordinates multi-step tasks and interprets user intent in natural language.
“Adobe has long helped businesses deliver engaging experiences to their customers, by turning digital data into actionable insights,” said Anjul Bhambhri, senior vice president of engineering for Adobe Experience Cloud. “We are now leveraging agentic AI to build specialized agents and embedding them into data, content and experience creation workflows.”
How Adobe is using AI agents
According to Adobe, the agentic platform enables teams to automate marketing and customer-experience processes across several of its core enterprise products. Those include Adobe’s:
- Real-Time Customer Data Platform
- Journey Optimizer
- Experience Manager
- Customer Journey Analytics
The initial lineup includes six “out-of-the-box” agents for audience building, journey planning, experimentation, data insights, site optimization, and product support.
The company said more than 70% of eligible AEP customers are already using the Adobe AI Assistant. That conversational interface links users to agents across Adobe and third-party systems. It also has a forthcoming tool called Agent Composer. Adobe said it will allow businesses to configure and customize agents based on brand policies and workflow needs.
Adobe also plans to open development capabilities through an Agent SDK and Agent Registry. They would enable enterprises and partners to build or extend their own agentic applications. New collaborations with Cognizant, Google Cloud, Havas, Medallia, Omnicom, PwC, and VML will connect Adobe’s agentic framework with external data and service ecosystems.
The company said its approach combines decision science and language models to create adaptive, goal-oriented automation supported by a “human-in-the-loop” refinement process. Adobe described the technology as a foundation for “contextually relevant actions and measurable business outcomes.”
Adobe is positioning the expansion as part of a longer-term effort to integrate generative and agentic AI across its enterprise software portfolio. That would strengthen its foothold in digital marketing and customer-experience management.
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