- Adoption
- Check use of approved AI tools and identify gaps in access or support.
- Team capability
- Assess practical skills and provide training to close the gaps.
- Workflow results
- Measure completion time, output quality, and rework.
- Evaluations
- Test AI against agreed standards using real work examples. Repeat the tests when the system changes.
- Feedback loops
- Use errors, corrections, and employee feedback to improve workflows. Check whether quality improves or completion time falls.
- Cost & capacity
- Compare AI costs and review effort with workflow results. Finance validates cash savings; we report time freed separately.
- Governance
- Assign accountable owners and define when human approval is required. Review these controls as workflows change.