The State of AI Transformation
AI capability is scaling.
Operational maturity is not.
88% of organisations use AI in at least one function. Less than a third are scaling it. The gap isn’t the model, it’s everything around it.
—McKinsey Global Institute, 2025
AI AssessmentThe Pattern
Does the executive who funded your last AI pilot have the authority to redesign the workflow it was meant to change?
What Separates Programmes That Scale
The same conditions determine
whether AI scales.
Executive Alignment
A named executive owns each workflow, with authority to redesign it.
Workflow Redesign
Workflows rebuilt around AI capability, not layered on top of unchanged processes.
Operating Model
A hub-and-spoke model separates central governance from domain delivery.
Data & Platform
KPI baselines documented and owned before deployment begins.
Architecture
Architecture matched to operating maturity, not imported from case studies.
Governance & Trust
An AI inventory exists, with risk tiers and validation rules assigned.
Adoption & Change
Adoption treated as a product launch, with champions and 90-day measurement.
Value Realisation
Value realization thresholds agreed before deployment, not after.
Where You Actually Stand
Most programmes are less operationally ready than leadership assumes.
Where Most
Actually Are
Where Most Leaders
Think They Are
Opportunistic
Isolated pilots. No real foundation.
Functional
A few things working. Nothing consistent between them.
Standardised
First genuinely enterprise-ready state.
Federated
It is embedded in core workflows. Domain teams delivering.
AI-Native
Continuously redesigning work around AI.
Opportunistic
Isolated pilots. No real foundation.
Where Most
Actually Are
Functional
A few things working. Nothing consistent between them.
Where Most Leaders
Think They Are
Standardised
First genuinely enterprise-ready state.
Federated
It is embedded in core workflows. Domain teams delivering.
AI-Native
Continuously redesigning work around AI.
The gap between where you think you are and where you are, that’s the work.
Find Your LevelHowever Feels Right
Take it yourself, or
think it through with us.
Built from NIST, ISO/IEC 42001, McKinsey, AWS, Microsoft, and Google Cloud. Refined around the conditions that actually determine AI scale.
At Your Own Pace
AI Readiness Scorecard
- Questions across 8 dimensions
- ~8 minutes
- Instant scored diagnostic
- Ceiling condition identified
- Three priority actions, sequenced
With Our Team
Gap Identification Call
- 45-minute founder-led conversation
- 10 readiness checks, live
- Your industry and use case covered
- Written follow-up within 3 business days
- No agenda other than clarity