Reviewgate
A marketer-facing action queue separating agent proposals, diffs, evidence, reviewer authority, decisions, downstream execution, readback and correction across multiple tools.
Marketing teams can run several agentic tools, each with its own approval screen and action vocabulary. The supplied research reports a live open-source marketing control project with local action logs and rollback gating, but no reviewed hosted inbox designed for non-technical marketers across several agent stacks. It also reports a European AI transparency milestone that sharpened attention to human oversight. Current official law and qualified counsel must determine applicability; an approval archive is not itself a compliance record.
Reviewgate would preserve organization, workspace, source agent, integration, actor assertion, proposed action, destination, object, before state, proposed state, diff, preview, rationale, evidence link, risk label, policy version, disclosure requirement candidate, reviewer role, reviewer identity assertion, review assignment, conflict of interest, decision, decision reason, signature, execution authorization, downstream request, provider acknowledgment, destination readback, rollback, incident, correction, export scope, retention and deletion as distinct records.
A reviewer can approve without understanding the effect, a preview can omit destination behavior and a signature can support integrity without proving informed or meaningful oversight. Provider acknowledgment does not prove an ad budget, creative, metadata or customer record changed as intended. Reviewgate must never infer that a person had legal authority, declare content lawful, satisfy a transparency duty automatically, execute outside configured scopes or use approval speed and rejection rates to score workers.
The pilot should use synthetic campaigns, sandbox destinations and a small permissioned marketing team. The likely buyer is a marketing-operations, growth, brand-governance or AI-program leader coordinating several agent tools. Tool compatibility, buyer size, current approval burden, regulatory applicability, reviewer capacity, execution interfaces, security expectations, willingness to pay and the competitive response from existing control products remain unverified.
A marketing-operations, growth, brand-governance or AI-program leader responsible for reviewing proposed actions across several marketing agents.
The product must make review fast while refusing to reduce meaningful oversight to a cosmetic approval click.
The supplied research reports an August 2026 European AI transparency milestone.
Fragmented agent interfaces create the gap, while unified workflow tools and policy engines already exist.
The input combines a concrete multi-tool workflow, an installable thin product and a reported regulatory timing signal with a clear human-review tension.
The full buyer and budget quartet is absent, a live adjacent control project exists, legal applicability needs primary-source review and the moat is mostly speed plus accumulated history.
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