Adobe debuts AI agents for automated customer experience management
Adobe introduces AI agents for enterprise customer experience automation, integrating with Adobe Experience Platform and third-party ecosystems.
Adobe announced on September 10, 2025, the general availability of its AI agents designed to transform how businesses manage customer experiences and marketing campaigns. The launch centers on the Adobe Experience Platform (AEP) Agent Orchestrator, a new AI platform that enables businesses to customize and manage AI agents from Adobe and third-party providers.
Key Features and Capabilities
- AEP Agent Orchestrator: A reasoning engine that interprets natural language prompts to dynamically activate specialized AI agents. It supports a "human-in-the-loop" approach for refinement.
- Six Specialized AI Agents:
- Audience Agent: Optimizes audience creation and scaling for personalization.
- Journey Agent: Simplifies cross-channel customer journey orchestration.
- Experimentation Agent: Analyzes A/B test data to predict conversion lift.
- Data Insights Agent: Streamlines data visualization and forecasting.
- Site Optimization Agent: Detects and fixes website performance issues.
- Product Support Agent: Enhances troubleshooting for Adobe products.
Technical and Industry Context
Adobe's AI agents are deeply integrated with AEP, leveraging real-time enterprise data to deliver contextually relevant actions. Over 70% of eligible AEP customers already use Adobe's AI Assistant, which serves as the conversational interface for these agents.
Major brands like The Hershey Company, Lenovo, and Wegmans are early adopters, using the agents to enhance customer experiences. Adobe also announced partnerships with Cognizant, Google Cloud, and Omnicom to expand agent interoperability.
Market Implications
The launch aligns with growing industry investment in agentic AI. According to McKinsey, $1.1 billion flowed into agentic AI in 2024, with job postings increasing 985% year-over-year.
Adobe's approach contrasts with standalone AI tools by embedding agents directly into existing workflows, addressing concerns about data governance and privacy. The platform also introduces:
- Agent Composer: A tool for customizing AI agents based on brand guidelines.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.