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One of the less-discussed applications of AI is data governance at scale.
At GoDaddy, we manage thousands of datasets, with hundreds requiring elevated governance and certification. The traditional process—gathering evidence across multiple systems, validating controls, and preparing reviews—was becoming increasingly difficult to scale.
We built TrustTier, an AI governance agent designed to support the certification lifecycle.
The interesting challenge wasn't automation. It was judgment.
The system reasons across three states:
- Assigned tier — the classification currently approved in systems of record
- Intended tier — the classification requested by the data owner
- Qualified tier — the classification supported by available evidence
That distinction matters because governance isn't simply about retrieving information. It's about determining whether the evidence justifies a decision and clearly explaining why.
The same certification logic can then be reused across verification, review, and audit workflows.
Curious how others are approaching explainability, governance, and false-positive management in AI-assisted compliance systems.
🔗 https://www.godaddy.com/resources/news/from-manual-audits-to-intelligent-certification
At GoDaddy, we manage thousands of datasets, with hundreds requiring elevated governance and certification. The traditional process—gathering evidence across multiple systems, validating controls, and preparing reviews—was becoming increasingly difficult to scale.
We built TrustTier, an AI governance agent designed to support the certification lifecycle.
The interesting challenge wasn't automation. It was judgment.
The system reasons across three states:
- Assigned tier — the classification currently approved in systems of record
- Intended tier — the classification requested by the data owner
- Qualified tier — the classification supported by available evidence
That distinction matters because governance isn't simply about retrieving information. It's about determining whether the evidence justifies a decision and clearly explaining why.
The same certification logic can then be reused across verification, review, and audit workflows.
Curious how others are approaching explainability, governance, and false-positive management in AI-assisted compliance systems.
🔗 https://www.godaddy.com/resources/news/from-manual-audits-to-intelligent-certification