Adobe Expands Agentic AI Capabilities to Enhance Marketing Workflows

Adobe has announced a significant expansion to its suite of AI tools, launching a new AI agent designed to help marketing and customer experience teams work more efficiently within Adobe Experience Platform.

The newly introduced Product Support Agent offers an interactive and guided approach to diagnosing and resolving issues that disrupt marketing workflows. This agent streamlines troubleshooting by gathering contextual data, such as logs and session details, and automatically pre-filling support tickets. The result: faster resolutions and fewer operational delays.

Users can also receive real-time status updates on support tickets through the same AI interface - eliminating the need to switch tools or navigate multiple platforms. Adobe has also teased upcoming features, such as proactive notifications for case updates, keeping users informed and in control of their support interactions.

Alongside this, Adobe has announced the general availability of its Data Insights Agent. Built on the Adobe Experience Platform Agent Orchestrator, this tool allows marketers to generate insights using simple natural language queries—for example, “What channels drove the most conversions last week?” In moments, the Data Insights Agent creates visual reports within Customer Journey Analytics.

This innovation aims to shorten the time needed to uncover actionable insights and streamline workflows related to reporting and forecasting. As Lenovo's Digital & Marketing Analytics Manager Lokesh Alluri shared:

Adobe’s Data Insights Agent will be a major unlock for our organisation, shortening the time it takes to find and deliver actionable insights.”

These new AI agents reflect Adobe’s ongoing commitment to helping teams move faster, reduce manual overhead, and stay focused on strategic, high-impact work. While AI isn’t a replacement for human expertise, tools like these create space for marketers to lean further into creativity, insight, and innovation.

Check out the video below: