AI, automation & governance
Use AI without losing control of quality, cost, and ownership.
A pragmatic framework to decide where AI is valuable, how it should be integrated, and how it should be governed.
Diagnostic
Signals that this needs attention
- Scattered AI tests
- Quality is hard to compare
- Terminology risk
- No guardrails
- Prompts and workflows are undocumented
Method
How the intervention works
- Use-case analysis
- Guardrail definition
- Hybrid workflow design
- Quality/cost/speed measurement
Livrables
What you leave with
- AI usage framework
- Hybrid workflow
- Governance checklist
- Tool integration plan