AI Governance and Oversight for Managers
The oversight duties that sit with line management: approving use cases, handling incidents, and keeping a record of what the team does with AI.
Runs most often inFinancial services and bankingHealthcare and life sciencesPublic sectorProfessional services
What participants can do afterwards
- Apply your organisation's AI policy to real requests from your team
- Decide which AI-assisted outputs require review before they are used
- Handle an AI-related incident and record it appropriately
- Explain your team's AI use to an internal auditor or risk function
- Keep a register of team AI use that stands up to audit
Modules
4 modules, 7 facilitated hours.
1.Applying the policy
2 hrsWorking real requests against your organisation's AI policy.
- Apply your organisation's AI policy to a live request
2.Review and approval
2 hrsDeciding what needs a second pair of eyes before it is used.
- Set a proportionate review threshold for your team
3.Incidents and records
2 hrsWhat to do when AI-assisted work goes wrong, and what an auditor will ask for.
- Handle and record an AI-related incident
4.The team AI register
1 hrsSetting up a lightweight register of what the team uses AI for, that survives contact with a busy month.
- Set up a use register the team will maintain
How it is delivered
A facilitator runs the course live, in person or live online. Attendance is taken per session, participants submit work against the modules above, and a facilitator grades it. Those records stay with the organisation and can be exported.
Further reading
AI training ROI: the business case your finance team can question is the public briefing that sits next to this course.
