How it works
A controlled path from AI ambition to everyday use.
Seven stages connect AI strategy, evidence and everyday use.
- 01Orient
- 02Understand
- 03Discover
- 04Prioritise
- 05Prove
- 06Implement
- 07Embed

Your AI journey
Every stage resolves a different risk.
Orient
Clarify the ambition
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Who is involved
Leadership alignment
Tangible output
A precise AI brief
Risk to avoid
Starting with tools rather than priorities
Who is involved
Leadership alignment
Tangible output
A precise AI brief
Risk to avoid
Starting with tools rather than priorities
Understand
Map how work happens
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Who is involved
Process owners and frontline teams
Tangible output
Workflow and readiness map
Risk to avoid
Ignoring exceptions and informal work
Who is involved
Process owners and frontline teams
Tangible output
Workflow and readiness map
Risk to avoid
Ignoring exceptions and informal work
Discover
Find credible opportunities
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Who is involved
Business, data and technology leads
Tangible output
Opportunity portfolio
Risk to avoid
Collecting use cases without qualification
Who is involved
Business, data and technology leads
Tangible output
Opportunity portfolio
Risk to avoid
Collecting use cases without qualification
Prioritise
Choose what deserves investment
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Who is involved
Executive sponsor and delivery leads
Tangible output
Ranked investment choices
Risk to avoid
Overweighting novelty
Who is involved
Executive sponsor and delivery leads
Tangible output
Ranked investment choices
Risk to avoid
Overweighting novelty
Prove
Test on a real workflow
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Who is involved
Users, owners and risk teams
Tangible output
Pilot evidence and decision
Risk to avoid
Testing a polished demo
Who is involved
Users, owners and risk teams
Tangible output
Pilot evidence and decision
Risk to avoid
Testing a polished demo
Implement
Integrate what works
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Who is involved
Operations and technology teams
Tangible output
Operational solution
Risk to avoid
Treating launch as completion
Who is involved
Operations and technology teams
Tangible output
Operational solution
Risk to avoid
Treating launch as completion
Embed
Build lasting capability
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Who is involved
Leaders, managers and teams
Tangible output
Governance and improvement rhythm
Risk to avoid
Leaving adoption to individual enthusiasm
Who is involved
Leaders, managers and teams
Tangible output
Governance and improvement rhythm
Risk to avoid
Leaving adoption to individual enthusiasm
Recommended next step
Identify your current AI stage.
We clarify what works, what is blocked and what comes next.

