AI Readiness Audit

Know if you're ready — before you spend.

Most failed AI projects fail before a line of code is written — because the data is messy, the process is undefined, the team can't adopt it, or compliance rules it out. A readiness audit surfaces those gaps in five dimensions and hands you a prioritised roadmap to close them, so the AI you build actually lands.

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The five dimensions we score

AI readiness is not one thing. It is the intersection of five: data, process, technology, team, and compliance. We score each one on a five-level scale from "no foundation" to "AI-native", with concrete evidence for each score. A high score in one dimension does not save you if another is at zero — the AI you build lands at the lowest common denominator.

  • Data — quality, completeness, structure, access, retention
  • Process — is the workflow documented enough for AI to learn from?
  • Technology — data warehouse, APIs, integration layer, model choice
  • Team — skills, appetite, change-management capacity
  • Compliance — APDP, Law n° 1.565, sector-specific rules

What the audit produces

The audit ends with three artefacts. A scorecard that shows where you sit on each dimension today, with the evidence behind each score. A prioritised gap plan that ranks the fixes by cost and impact — usually a mix of quick wins and structural work. And a go/no-go recommendation for each of the top five AI opportunities we identified in scope: what you can start now, what needs the gap plan first, and what to skip. Delivered as a working document, not a slideshow.

  • 5-dimension readiness scorecard with evidence
  • Prioritised gap plan — quick wins and structural work
  • Go / no-go / defer decision on the top 5 AI opportunities
  • Data quality report from a sample of your live datasets
  • Compliance flags for APDP and Law n° 1.565
  • Working document — designed to be edited by your team

When to do this — and when to skip it

The audit pays back in situations where you're about to spend six figures on AI tooling or a build, and want to be sure the foundation supports it. It's the right first step for boards mandating an AI plan, businesses that have tried AI pilots and had them stall, and family offices or regulated businesses where compliance failure is not survivable. It is the wrong first step if you've identified a single low-risk workflow to automate — in that case, just build it, and learn from that.

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Get an AI readiness scorecard.

Two to three weeks, fixed fee, working-document output. Tell us what you're considering — we'll come back with a scope, a price, and a start date.

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