Management advisory
AI value and governance
We help leadership choose suitable AI tasks, define permitted data and decide when a pilot is ready to expand.
Discuss the scope ↗When AI interest outpaces shared rules
Teams are experimenting, while leadership needs a view of benefits, costs and accountability. We separate promising use cases from constraints and evaluation criteria.
What you receive
- Prioritised AI use-case map
- Data handling and response review rules
- Pilot brief and evaluation examples
- Recommendation to scale, improve or stop
How we work
How we approach this question
- 01
Assess suitability
Compare use cases by value, data availability and the cost of an error. Identify where conventional automation is sufficient.
Use-case shortlist - 02
Set the boundaries
Agree access, permitted sources, human review and accountability for results.
Governance rules and pilot plan - 03
Evaluate the outcome
Assess responses on agreed examples, costs and review effort. Base the recommendation on pilot evidence.
Next-stage decision