Building Compliance-Ready Digital Experience Platforms Using Adobe Experience Manager and Artificial Intelligence

Abstract

Regulated enterprises now publish content that carries legal, financial, or clinical weight, but compliance review in most digital experience platforms still happens at the end of the pipeline, as a final check rather than a built-in property of the system. This article proposes a lifecycle governance model for Adobe Experience Manager-based platforms in which metadata design, workflow structure, AI-assisted pre-review, and audit traceability function as architectural decisions rather than downstream inspection steps. The argument draws on enterprise content management theory, information governance and governance-risk-compliance research, and recent empirical work on AI-assisted regulatory review to make the case that distributing compliance controls across the authoring-to-publishing lifecycle reduces both bottlenecks and audit exposure more reliably than a single pre-publish gate. A natural objection follows: AI-assisted pre-review could introduce new risk through false negatives or reviewer over-reliance on automated flags. The article takes this objection seriously and argues that bounded human-AI collaboration, with accountability and traceability built in from the start, offers a more defensible middle path than either fully manual or fully automated review. It closes by identifying what empirical validation of the model would require.