AI Content Systems: A Refresh Workflow for Stale Sources
Build a content refresh workflow that identifies stale source material, assigns a reviewer, and updates affected drafts without quietly inventing replacement facts.
How should an AI content system handle a stale source?
An AI content system should flag a stale source, identify the content that depends on it, and send the open question to a responsible reviewer. It should not quietly replace an outdated statement with a plausible new one.
A source can become stale for several reasons. A policy may have changed, a product page may have moved, or an owner may no longer stand behind an earlier instruction. The refresh workflow needs evidence of the change rather than a guess based on the document's age.
Record what each source supports
Keep a source record with its owner, location, scope, and review status. Connect published claims or reusable content blocks to the source that supports them. This makes it possible to find affected material when the source changes.
Avoid relying on a single "last updated" field. A document can receive a formatting edit without changing its meaning. Another document may remain accurate for a long time even though nobody has touched the file.
Ask the source owner to define what should trigger review. Useful triggers may include an explicit policy replacement, a broken source link, a scheduled owner check, or a conflicting approved document.
The source governance review workflow covers the earlier step of choosing and approving source material.
Separate detection from correction
Detecting a possible problem does not establish the new answer. When the system finds a broken link or an overdue review date, mark the affected material for attention. Keep the current text visible to the reviewer unless the publishing rules require immediate removal.
The reviewer should be able to confirm that the source remains valid, replace it with an approved source, revise the supported statement, or retire the content. Record that choice and the material it affected.
If the correct replacement is unknown, leave the item unresolved. A language model can help locate candidate passages within approved material, but it should not fill the gap with an unsupported fact.
Trace changes to affected content
When a source changes, list the drafts, published pages, templates, and reusable snippets that refer to it. The list gives an editor a defined review scope. It does not mean the same edit applies to each item.
Review the actual statement in context. A source change may affect one sentence while the surrounding explanation remains accurate. Rewriting an entire article can introduce new errors and make the approval history harder to follow.
Preserve the old source reference in the change record even after a replacement is approved. That history helps explain why the earlier version said what it did.
Give reviewers a useful comparison
Show the current published passage beside the old and proposed source material. Highlight the specific wording that may no longer be supported. Include the page link and the reason the item entered the queue.
Do not ask a reviewer to approve a large batch without showing which statements changed. A page-level status can hide a small but important unsupported detail.
For conflicts between sources that both appear current, use the review approach in internal AI search and conflicting sources. The system should expose the disagreement rather than merge the two instructions.
Check the result after publication
After an editor approves the refresh, confirm that the published page contains the intended wording and links to the right destination. Check any summaries or snippets derived from the same content.
Then test whether the content system uses the approved source in a new draft. Updating the page without updating the underlying source record allows the same stale statement to return later.
Keep failed or partial updates visible. If one destination could not be changed, the run should show that exception instead of reporting the refresh as complete.
What belongs in a source refresh workflow brief?
Document the source owner, review triggers, affected content types, and possible reviewer decisions. Explain how the system behaves when no replacement source is available and how it records partial updates.
Use a worked example that begins with a stale source and ends with a checked public page. The example should show the evidence used for the edit, the reviewer who made the decision, and any affected content that still needs attention.