AI Governance Checklist
- List systems, embedded AI and informal use
- Name business and technical owners
- Classify purpose, people affected and risk
- Define approval, monitoring and incident paths
- Record suppliers, data and evidence
FREE PRACTICAL RESOURCES
Useful starting points for responsible AI work.
Concise templates to help European organisations ask better questions before buying, deploying or scaling AI.
Responsible AI Use Review
- Identify tools already used by teams
- Map sensitive information entered or uploaded
- Check account ownership and access
- Assess output verification and human reliance
- Decide whether to approve, restrict or replace
AI Supplier Review Questions
- Data location, retention and model training
- Identity, access and tenant separation
- Logging, incidents and subcontractors
- Testing, quality and human oversight
- Exit, deletion and continuity arrangements
USE WITH JUDGEMENT
Templates support decisions; they do not replace context.
Every organisation, sector and use case has different legal, technical and human-impact requirements. Use these resources as a starting point and document why decisions were made.