What are your best practices for integrating AI features into Adobe Experience Manager (AEM) projects? | Community
Skip to main content
S
sandeeptech
Level 1
July 6, 2026
Question

What are your best practices for integrating AI features into Adobe Experience Manager (AEM) projects?

  • July 6, 2026
  • 1 reply
  • 16 views

Hi everyone,

Our development team has been working on several enterprise web applications, and we've noticed that many clients are now asking for AI-powered capabilities within Adobe Experience Manager (AEM). These include:

  • AI-powered content recommendations
  • Automated content tagging
  • Intelligent search
  • Chatbots for customer support
  • Personalized user experiences

One challenge is balancing AI functionality with performance, security, and maintainability in large AEM implementations.

At Tech Formation, we've been researching different AI integration approaches, but I'm interested in learning how other developers and architects are solving these challenges.

Looking forward to hearing your experiences and learning from the community. Thanks!

1 reply

A
akhil_merupula
Level 4
July 9, 2026

Hi ​@sandeeptech, 

 

A few patterns that have worked well in practice:

 

Keep AI services external, integrate via OSGi. Don’t embed model SDKs directly in AEM bundles. Wire AI endpoints (Azure OpenAI, Adobe Firefly Services, etc.) through OSGi services with proper secret management via Cloud Manager environment variables. This keeps the integration maintainable and swappable.

 

For content tagging and smart search,  Adobe’s own Sensei/AI Services (Smart Tags, Smart Crop, Content Auto-Tagging) are the lowest-friction path since they’re native to AEM Assets and require no custom integration. Use those before building custom.

 

For recommendations and personalization, Adobe Target integration via Launch/Web SDK is the right layer, not custom AEM components. AEM’s job is content delivery, not personalization logic.

 

Performance boundary: Any AI inference call in the request path is a risk. Treat AI as async, pre-compute tags, pre-generate recommendations, cache results. Never block page render on an AI API call.

 

Security: Be explicit about what content leaves AEM to external AI services. For regulated industries this matters significantly, ensure your data processing agreements cover it.

Terms & ConditionsAccessibility statement

Loading footer...