Automation Trust Gate (QA)

Automation Trust Gate (QA)

1. 01

   Verify that the automation's optimization logic aligns with the client's stated business goals

   Confirm that the AI's objective function (e.g., ROAS, CPA, conversion volume) matches the client's priority, not just the platform's default. Document any mismatch in the audit report.

2. 02

   Check whether the AI tool has access to the client's full conversion data

   Ensure that offline conversions, phone calls, or CRM events are integrated, as missing data can cause the algorithm to optimize on incomplete signals. Review the integration status for each platform.

3. 03

   Review the creative assets the AI is generating or selecting for brand consistency

   Spot-check a sample of AI-generated ad copy and visuals against the client's brand guidelines. Flag any that miss the brand's tone, visual identity, or key messaging.

4. 04

   Assess the risk of over-automation on niche or high-touch accounts

   For clients with complex sales cycles or strict compliance requirements, evaluate whether the AI's autonomous decisions could harm performance or brand safety. Consider setting stricter guardrails or manual review checkpoints.

5. 05

   Test the AI's response to a simulated budget or bid change

   Use a sandbox or a low-risk campaign to see how the tool adjusts spend and targeting. This reveals whether the automation reacts sensibly to sudden changes, avoiding erratic behavior.

6. 06

   Document the audit findings and recommend a human oversight cadence

   Create a summary of risks and performance gaps, and propose a review schedule (e.g., weekly for high-spend accounts, monthly for others) to ensure the automation stays aligned with client goals.