The outcome
A short list of worthwhile use cases, clear boundaries and a sensible next step.
Who it is for
- Leaders under pressure to identify credible AI opportunities
- Teams with useful knowledge but unclear data, permissions or process ownership
- Organisations exploring Copilot Studio, AI agents or automation
- Operational environments where decisions, escalation and evidence matter
What is included
Use-case discovery and prioritisation
Data, content and permission readiness review
Risk, human-oversight and boundary assessment
Process and adoption considerations
Prototype recommendation or pilot shape
Decision briefing for sponsors and delivery teams
What you receive
- A prioritised use-case shortlist
- A practical readiness and risk assessment
- Clear agent or automation boundaries
- A proportionate pilot or implementation recommendation
Typical engagement
Usually a focused discovery over two to four weeks, followed by an agreed prototype, pilot or improvement backlog where appropriate.
Founder background
Microsoft 365, Power Platform, Azure, Copilot readiness, governance, operational capability and decision-quality design for high-accountability work.
Common questions
A straightforward starting point
Do we need to know which AI tool we want first?
No. Starting with the business decision or process usually produces a better result than choosing a tool first.
Is this an AI strategy document?
It can inform a wider strategy, but the immediate goal is more practical: identify what is useful, what is safe and what should happen next.
Can this lead to a Copilot Studio prototype?
Yes, where the use case, content, permissions and human handoffs are sufficiently clear to make a bounded prototype worthwhile.