AI readiness assessment

Know where you stand before you invest in AI

A structured review of your data, technology, people and policies, scored against a clear maturity scale and turned into a plan your leadership team can act on.

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Readiness heat map and index, from the DVR film
What we assess

Four areas, twenty dimensions

We add client-specific dimensions and questions where your sector, regulators or systems need them, and leave out anything that doesn’t apply.

Data
  • Data quality and quantity
  • Access and availability
  • Ownership and stewardship
  • Documentation and lineage
  • Documents and knowledge
Technology
  • Cloud and infrastructure
  • Integration and APIs
  • Data platform and analytics
  • AI tools and operations
  • Legacy and technical debt
People
  • Leadership and sponsorship
  • AI literacy
  • Data and technical skills
  • Culture of experimentation
  • Change capacity and sentiment
Policy & Security
  • AI policy and acceptable use
  • Data protection and privacy
  • Information security
  • Vendor and third-party AI
  • Responsible AI and model risk
How we score

A five-point maturity scale

  1. 1InitialAd hoc and undocumented. Depends on individuals.
  2. 2DevelopingSome practices exist but are inconsistent and reactive.
  3. 3DefinedDocumented and applied in key areas. Ready to pilot AI.
  4. 4ManagedMeasured and consistent across the organisation.
  5. 5OptimisedContinuously improved and ready for AI at scale.
What you get

Clear outputs your leadership team can act on

Readiness scorecardAn overall index, a score for each area and how far each sits from your target.
Heat map and gap analysisEvery dimension at a glance, with the priority gaps and recommended actions.
Data and platform findingsPlain-language findings for each area, backed by the evidence we gathered.
Initial risk registerRisks rated by likelihood and impact, with owners and suggested mitigations.
Leadership reportAn executive summary, key findings, top risks and recommended next steps.
Progress across roundsRe-assess at each milestone to see what improved and how close you are to AI-native.
How it runs

From kick-off to leadership playback

  1. Week 1Kick-offAgree scope, stakeholders, client-specific items and the target maturity.
  2. Weeks 2–3DiscoveryInterviews, workshops, document reviews and system walkthroughs.
  3. Week 4Scoring and findingsScores, heat map, findings and the initial risk register.
  4. Week 5Leadership playbackWe present the report and agree the roadmap and value measures.

Get your baseline.

Fee on application, scoped to your organisation
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