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Use an AI agent to check an Adobe Experience Manager release before publication

Find the pages, fragments, and decisions that could block an AEM release before an editor starts the final publishing run.

Workflow outcome

Prepare an approval-ready publishing checklist for a defined AEM release.

How an AI agent can prepare an approval-ready publishing checklist for a defined AEM release

This workflow gives an AI agent a defined job, a bounded set of records, and a result a person can review. The agent reads the relevant Adobe Experience Manager context, applies the rules in the prompt, and keeps the source behind every recommendation. It returns a proposed handoff rather than taking consequential actions on its own.

Can an AI agent prepare an approval-ready publishing checklist for a defined AEM release?

Yes. Start with the scope, date range, decision rules, and fields that identify the right records. The agent can collect the evidence, compare states or sources, mark conflicts and missing data, and organize the result around the outcome above. A reviewer then checks the matches and judgment calls before approving messages, record updates, bookings, purchases, publishing, or other write actions. The guide below shows the records, boundaries, prompt, and handoff needed for this specific workflow.

How the AI agent checks a release set instead of the whole site

A publishing-readiness agent answers a narrow question: can this named release move to its scheduled review or publication step? Give it the AEM page paths, Content Fragments, locales, planned publication time, required approvers, and the checklist your web team already uses. It can then find missing fields, unresolved workflow states, expired copy, absent owners, and dependencies that have not reached the same release state.

The agent should not treat “modified recently” as “approved.” Ask it to record the current status and evidence for every page or fragment in scope. If it cannot see an approval, required asset, or referenced fragment, it should mark the item unverified rather than infer readiness from neighboring pages.

Example starter prompt

Review the AEM release set listed in [release manifest] for publication at [date and time].

For every page and Content Fragment, check the required metadata, locale coverage, named owner, approval state, scheduled dates, referenced assets, and dependencies in [team checklist]. Cite the AEM path and field or workflow evidence behind every result.

Return four sections: ready for final approval, blocked, needs an owner decision, and not found or inaccessible. Do not publish, schedule, edit, or approve anything.

How the agent separates a blocker from a correction

A missing legal approval or unresolved source fragment can block publication. A small style inconsistency may belong in the next correction cycle. Encode that distinction in the prompt so the agent does not turn every issue into an emergency. For each blocker, require the affected path, evidence, dependency, owner, and latest safe decision time.

Review shared fragments carefully. One fragment may feed several pages or locales, so a single change can widen the release scope. The result should list every in-scope page affected by a shared dependency and flag any page outside the release that could also change.

Questions this workflow answers

Could an AI agent prepare an approval-ready publishing checklist for a defined AEM release?

An agent can answer that question when “ready” is defined as a set of observable checks rather than a general impression. Give it the release manifest, scheduled publication time, locale matrix, required metadata, approval chain, asset requirements, and the latest time a blocker can be resolved safely. It then inspects every named page and Content Fragment and records the current value or workflow state behind each result.

The useful output is a release control sheet. A page with complete fields but no legal approval is blocked. A translated page waiting on an optional image description may be a correction, depending on the team’s policy. A shared fragment with an expired date can block several otherwise complete pages. The agent traces those dependencies and lists the blast radius, including pages outside the manifest that reference the same fragment. That prevents a last-minute “small fix” from changing content that nobody planned to release.

Unavailable evidence stays visible. If the agent lacks permission to inspect an asset, cannot find a locale, or sees a workflow status whose meaning is unclear, it marks the check unverified and names the owner who can resolve it. It should never carry a green status from a parent folder down to child pages or treat a recent modification as approval.

The release owner reviews blockers first, then samples items marked ready. For each sample, they should be able to follow the AEM path, field, dependency, and approval evidence without repeating the whole audit. Once owners have resolved or explicitly waived every blocker, the agent can rerun the checklist against the same manifest. It still does not schedule or publish anything; it gives the authorized editor a current, evidence-backed basis for that action.

Expected handoff

The final checklist should contain the AEM path, content type, locale, publication target, current workflow state, missing requirement, dependency, owner, and proposed next action. Put unverified permissions and unavailable items in their own section. An editor or release owner approves the checklist and performs publication through the team’s normal controls.

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