Governance, Ethics & Legal Practical insights
Keep proof of who approved your AI campaign assets
Connect every AI campaign approval to the exact asset, supporting evidence and authorized reviewer, then verify that the approved version went live.
‘Reviewed by the team’ is difficult to verify when a campaign changes after approval. A useful review record connects a named decision-maker to a specific asset version and the evidence they checked. That connection matters more than the number of approval messages in a project channel.
Define the approval object
Give each asset a stable identifier and version. Include its language, market, destination and planned audience. For a landing page, capture the headline, offer, qualifications and linked terms together. A reviewer approving the headline alone has not necessarily approved a later page with a different price or eligibility condition.
Record the substantive decision
Store the reviewer's identity, time, scope and outcome with the relevant evidence. Distinguish factual approval from brand approval and legal review. A factual reviewer might verify product capabilities while an editor checks clarity. If a numerical claim changes, route it back to the person responsible for substantiation rather than collecting a general thumbs-up.
Use system events carefully
Anthropic’s Cowork enterprise announcement describes observability events for tool activity and whether AI-initiated actions were approved manually or automatically. [1] Such events can support an activity record when available in the configured plan. They do not by themselves show that a person understood and verified a campaign claim. Link operational events to the editorial decision.
Check the activated version
After publishing, compare the live asset identifier or content snapshot with the approved version. Record meaningful post-approval edits and reopen affected checks. Limit access to the evidence repository and follow the organization’s retention schedule. A compact, usable record lets someone later answer three questions: what was approved, why was it considered accurate, and is that the version customers actually saw?
Sources and evidence
Sources checked on 4 October 2026. Proposed workflows and hypothetical examples are editorial analysis.
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