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Agents · Governance

A growth team's ad audit agent.

Specialized AI agents audit an ad account and draft an optimization plan. A separate validator checks outputs against defined rules.

Client
Growth / ads team
Service
Implement
Status
Shipped
Stack
Multi-agent system · validator · governance rules in code

Client details are anonymized.

The brief

A growth team managed ad spend across many accounts. Manual audits took senior analysts hours per account, with variation in coverage. The team wanted to automate the analysis while retaining controls over recommendations that could affect live campaigns.

What we built

We separated analysis, recommendation, and review into specialized agents. An independent validator checks each hand-off against defined structural and semantic rules. The output is an optimization plan for the team to review, with a report explaining its recommendations.

Account data
Step 1Analyze
Step 2Propose
Step 3Safety check
Plan + report
Independent validator · structural and semantic checks on every hand-off · repair, retry, or escalate
Each agent's output passes defined checks before the next stage. The team reviews the resulting plan.

Checks and controls

Platform governance rules are enforced in code. Changes outside those rules are blocked or routed to a person for review. Failed checks trigger repair, regeneration, or escalation.

Delivery

The shipped system runs audits on demand using a consistent sequence of analysis and checks. The team can review a prepared plan and its supporting report instead of assembling the audit manually.

AgentsOne job eachvalidated at every hand-off
CoverageFull accountcampaign structure to creative
Self-correctionBuilt inrepair, retry, or escalate

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