AYSA Execution
Approval History
Approval history is the sequence of recorded human decisions about specific versions of proposed SEO actions, including approval, rejection, expiry or revocation.
What it means
Each decision should identify the proposal version, target, scope, authorized reviewer, time and any recorded rationale. A later material change can make an earlier approval stale even though the historical decision remains intact.
Why it matters
Decision provenance prevents a broad or old consent from being reused for a different payload and lets teams distinguish accountable review from an automated status change.
Example
An editor rejects title version three because it changes the product claim, then approves version four after reviewing the revised wording and source evidence.
Common mistakes
Do not treat authentication as consent, let a system approve its own consequential output, record only the latest decision or call spell-checking substantive human editorial review.
How AYSA handles this
Signals reviewed
decision state, reviewer identity, proposal version, decision time, scope, expiry or revocation
Problem AYSA can identify
AYSA can identify an executable item with no matching active approval or with a decision tied to an outdated proposal or target.
Recommendation prepared
The review request presents the current evidence, exact proposed value, affected object, limitations and required decision role.
Approval preview
The person sees a bounded diff and can approve, reject or leave the item undecided rather than authorizing an open-ended instruction.
Execution
A valid decision can make a supported item eligible, but AYSA records any later attempt separately instead of rewriting the decision event.
Verification
AYSA correlates the decision with subsequent attempt and result records so reviewers can see where the lifecycle stopped.
Limits
Approval history does not prove execution, correctness, informed consent outside its stated scope or compliance with the EU AI Act.
Sources and further reading
- W3C PROV-O: The PROV Ontology — W3C Recommendation
- NIST AI Risk Management Framework — Core — Official risk-management framework
- Regulation (EU) 2024/1689 — Artificial Intelligence Act — EU law
- European Commission — Transparency obligations under Article 50 — Official EU guidance
- WordPress REST API Handbook — Post Revisions — Official platform documentation
Written by Marius Dosinescu. Reviewed by AYSA SEO Editorial Team · 2026-07-28 00:00:00.
Quick answers
Frequently asked questions
Does approval history prove that AYSA executed the change?
No. It proves a recorded decision about a proposal; execution and verification require separate evidence.
Is a grammar check enough to count as human editorial review?
No. For the AI Act Article 50 editorial-control exception, Commission guidance describes a substantive review by a knowledgeable person, not a superficial formal check.
SEO execution campaign
Less SEO work. More organic growth.
AYSA monitors your website, finds opportunities, prepares the work, asks for approval and executes accepted changes so you can grow without living in SEO tools.
