AI Governance & Responsible AI Advisory
As AI systems move from pilot to production, governance stops being optional. We help you define acceptable-use policy, run model risk assessments, and put the review processes in place so AI initiatives hold up to internal audit and external regulation.
What’s included
- AI usage policy and acceptable-use guideline development
- Model risk assessment and pre-deployment review processes
- Bias, fairness, and explainability evaluation
- Regulatory mapping and audit-readiness documentation
Typical outcomes
- A documented AI governance framework leadership can point to
- Fewer surprises from audit, legal, or regulatory review
- Clear ownership and escalation paths when a model misbehaves
