Service
AI Governance
Define responsible AI principles, controls, accountability, acceptable use and human review.
Why this matters
AI adoption often moves faster than policy, accountability and operating controls, leaving teams uncertain about what is safe and approved.
Our approach
- Define roles, accountability and decision rights.
- Establish practical acceptable-use and review controls.
- Align governance with data, privacy, security and risk requirements.
- Create a repeatable gate for AI and agent proposals.
Typical deliverables
- Governance framework
- Roles and accountability model
- Control and policy backlog
- Agent or use-case gate process
Outcomes
- Clearer accountability
- Consistent assessment of AI initiatives
- More confident and responsible adoption
Discuss the right next step
Tell us about the problem, users, Microsoft environment and outcome you are working towards. We will help determine whether a workshop, assessment or focused delivery programme is the most useful starting point.
Book a discovery callReady to identify the practical next step?
Start with a discovery conversation focused on the business outcome.