- Adobe launches six new AI agents across customer support, product and data
- Businesses will also “soon” be able to customize their own agents
- Most customers already interact with AI -Chatbots
Adobe has made its AI Agent Technology generally available in an attempt to help workers to build, deliver and optimize customer experiences and marketing campaigns.
Agentic platform promises context-conscious and multi-step actions, response offenses and ROI-driven workflows thanks to its AEP agent orchestrator submissions, which means companies can tailor AI to their own unique goals.
Adobe expects the technology to be a big hit, with over 70% of AEP customers already using AI assistant -Interial -Interface -an additional layer of automation will only serve to further increase output.
Adobes AI agents hit the market
From the launch, tech giant has curated a number of out-of-the-box AI agents in its apps, including: audience agent (personalization initiatives for audience optimization); Journey Agent (design and optimization of Multicanals Customer Travel); Experimental agent (analysis of experiments and predict conversions); Data Insights Agent (for forecasts and visualization of insight); Site optimization agent (to monitor sites, flag performance problems and help corrections); and product support agent (to streamline customer support).
Companies that need more from Agentic AI can go ahead and configure their own in the brand’s guidelines and policies through Experience Platform Agent Composer coming “soon.”
The news comes after Adobe first announced his Experience Platform Agent Orchestrator at his annual summit, even in March 2025, placed it has a hub to connect data, workflow and third-party AI-ecosystems.
“Our agent AI Innovations raise the customer experience orchestration by reimaginating processes, locking the productivity of marketing team and delivering personalized experiences in scale to drive growth,” said Adobe Experience Cloud Engineering SVP Anjul Bhambhri.
Adobe also promises to work with cognizant, Google Cloud, Havas, Medallia, Omnicom, PWC and VML to make its AI agents more powerful across multiple platforms.
