AI Adoption & Transformation
From pilot to production, without the usual detour.
Independent diagnosis of why an AI programme has stalled, and the operating-model and adoption work required to move it into production with value that can be measured.
The problem
Twelve pilots and no production is a governance problem.
The published research is consistent: failures are organisational rather than technical. Success criteria that were never defined. Data foundations sequenced after the model rather than before it. Executive sponsorship that faded. Workflows that were never redesigned around the tool.
Where value leaks
- 01Use caseChosen for visibility rather than value
- 02DataQuality and lineage discovered too late
- 03LicensingPermissions that do not extend to the intended use
- 04ControlOversight bolted on after deployment
- 05AdoptionWorkflow unchanged, so behaviour unchanged
- 06MeasurementApproved on projected return, never reviewed
What we do
- Portfolio review of every active and proposed AI initiative
- Value hypothesis and success criteria defined before further spend
- Data readiness assessment sequenced ahead of model work
- Target operating model for AI ownership, funding and oversight
- Adoption and change plan built around the actual workflow
- Benefit measurement framework tied to the agreed baseline
What you receive
- Portfolio assessment with stop, continue and scale recommendations
- Prioritised roadmap with sequencing and dependencies
- Target operating model and accountability map
- Adoption plan with owners and measurable milestones
- Benefit tracking framework and reporting cadence
- Who it is forCOO, CIO, CDO, transformation and change leadership
- How longDiagnostic 2 weeks. Advisory 8–16 weeks. Transformation programmes scoped individually.
- What we do not doWe advise on the decisions. We do not build the systems and we do not resell tooling.
Stalled between pilot and production?
Bring the portfolio in whatever shape it is in. Two weeks is usually enough to see where it is stuck.