From ambition to AI-native, one measured step at a time
A clear, repeatable method. Every step produces something your leadership team can use, and every round shows how far you have come.
Assess
We look at the four areas that decide whether AI will work: data, technology, people, and policy and security. We interview leaders and teams, run workshops, review documents and walk through your systems.
Score
Twenty dimensions are scored on a five-point maturity scale, from Initial to Optimised. We add client-specific items where your sector or systems need them.
Report
We turn the scores into plain-language findings and the risks that need attention, rated by likelihood and impact.
Plan
Together we agree a roadmap: close the high-priority gaps first, pilot two high-value use cases, then scale what works.
Value
Every use case is tied to a value measure: time saved, cost reduced, revenue grown or risk reduced. We agree a baseline before the pilot so the return can be proven.
Track
We re-assess at each milestone. Every round is locked as a record, so progress against the baseline is measured, not assumed.
Four milestones to AI-native
- Round 1BaselineWhere you stand today, and the gaps to close first.
- Target 3Ready to pilotFoundations in place to run controlled pilots safely.
- Target 4Ready to scaleProven use cases rolled out across the business.
- Target 5AI-nativeAI built into how the organisation works and decides.