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AEM AI Agents: A Practical Guide to What's Real and What's Next

Adobe's new AI agents inside AEM promise to automate content operations, enforce governance, and accelerate development. Here's what actually works today and how to get started.

AT

Anseris Team

Engineering · June 5, 2025

The agentic evolution of AEM

At Adobe Summit 2025, Adobe introduced a fundamental shift in how AEM works: autonomous AI agents that operate inside the platform. Not chatbots, not copilots — agents that take action, make decisions, and orchestrate workflows.

Here's what's available now, what's coming, and how we've started implementing these for our clients.

The four agents

Brand Experience Agent

This is the most impactful agent for content teams. It automates site modernization, content migration, and technical troubleshooting. In practice, we've used it to:

  • Migrate legacy page structures to modern component architectures
  • Generate brand-compliant page layouts from content briefs
  • Diagnose and resolve rendering issues across multi-site setups

The key insight: this agent understands your brand context. Feed it your design system and content guidelines, and it generates content that actually looks and sounds like your brand.

Content Advisor Agent

Transforms how teams work with AEM Assets. Instead of browsing folder structures, authors describe what they need in natural language. The agent finds the right assets, suggests variations, and adapts content for specific channels.

Governance Agent

Enforces brand guidelines, accessibility standards, and regulatory compliance automatically. Every piece of content is checked against your policies before it goes live. For regulated industries (pharma, finance), this is a game-changer.

Development Agent

AI-assisted debugging and build automation. It analyzes build failures, suggests fixes, and helps configure Cloud Manager pipelines. Still early, but already saving our development teams hours of debugging time.

Instructional authoring — the third paradigm

Beyond agents, Adobe introduced a new authoring model: instructional authoring. Instead of clicking through component dialogs or editing documents, authors give natural language instructions:

*"Create a hero section for our summer campaign targeting millennials, using our brand colors and the latest product imagery from the DAM."*

The agent interprets the instruction, selects appropriate components, pulls assets from AEM Assets, and generates the page. A human reviews and approves.

This is the beginning of AEM's agentic architecture — MCP and A2A APIs that allow agents to communicate with each other and with external systems.

Getting started

Our recommendation: don't try to activate everything at once. Start with the Governance Agent (lowest risk, highest immediate value), then expand to Brand Experience Agent for content operations. We can help you build the roadmap.

Need help with this?

We help teams implement what we write about. Let's talk about your specific situation.

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