What is AI governance consulting?
AI governance consulting helps you decide who approves, monitors and answers for the AI you put into production, and makes sure the data underneath it can be trusted. At Logical Leap we treat AI governance as people and process work first, with tools in support.
Why does AI governance depend on data governance?
An AI governance charter, a model registry and a risk framework mean little if you cannot say who owns the data, where it flows, or what proof exists that controls ran. AI governance is built on data governance.
What does the AI Launch Readiness Sprint deliver?
A 60 to 90 day sprint to get one stalled AI use case cleared to launch on data you can stand behind. You get:
- A named owner for every critical data element the model touches.
- Quality thresholds set, and measured against.
- Lineage traced from source to model input.
- Clear human decision rights: who approves, who overrides and who answers for errors.
- The evidence pack risk and audit need to approve launch.
- A go or no-go recommendation, with a fix plan if needed.
How do you govern AI agents?
People lead and own accountability, and agents support them. Data stewards should direct AI agents, not be replaced by them.
Read more: a people-first AI operating model and how AI agents compound governance debt.
Where should we start?
With a Governance Debt Assessment: 14 to 21 days, partner-led, 4 to 8 hours of client time. It shows what your current governance gaps cost and whether your foundation is ready for AI.