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AI Readiness Assessment

An evidence-based judgment of the organization's capacity to adopt AI, prepared ahead of investment decisions.

About AI Readiness Assessment

An AI readiness assessment establishes whether an organization can deploy and sustain AI systems responsibly before it commits capital. We examine the data that models will depend on, the systems they must integrate with, the skills available to operate them and the governance that makes resulting decisions accountable. We score each area against explicit criteria.

We conduct the assessment through document review, structured interviews and direct inspection of systems and data, and we state each finding plainly with the evidence behind it. Where the assessment finds that an initiative should not proceed yet, we state that conclusion and set out what would change it. A remediation roadmap ranks the findings by their effect on the first production system.

What you receive

  • Readiness scorecard by assessed area
  • Evidence-based findings report
  • Proceed or defer recommendation per use case
  • Prioritized remediation roadmap
  • Executive briefing for leadership

When to engage

Engage when the organization intends to invest in AI within the coming planning cycle and requires an objective account of its starting position.

  • AI Consulting & Strategy

    Strategy, solution architecture and delivery planning that carry an organization from AI intent to a production roadmap.

  • Data Strategy

    A data audit, target architecture and governance plan that make AI initiatives feasible, defensible and repeatable.

  • AI Governance & Compliance

    Policies, controls, documentation and oversight aligned to the regulatory and standards frameworks that govern AI systems.

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Discuss this service on a call.

Describe the objective and the systems it affects, and we will outline how an engagement would proceed.