Diagnose
Independent assessment across data, talent, governance, tooling and regulatory posture—using evidence, interviews, and artifact review, not just self-rating.
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AI readiness diagnosed honestly — gaps, risks, the next 90 days
Independent assessment across data, talent, governance, and tooling—with a remediation plan you can actually execute next quarter.
The problem
'AI-ready' claims that don't survive scrutiny
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Maturity claims without evidence
Leadership repeats a maturity score from a vendor questionnaire. The first internal audit or due diligence question dismantles it in minutes.
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Governance gaps surface in audit
Policies exist on paper, but model lineage, approval logs and incident playbooks are missing the moment regulators or external audit ask.
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Talent inventory unknown
Nobody can answer who actually owns AI in the business, where the critical skills sit, and which roles are single points of failure.
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Regulatory exposure unmapped
EU AI Act, sector regulators and procurement requirements are tracked informally—exposure surfaces only when a contract or audit forces the question.
How it works
An honest read on where you really are
Score & risk-rate
Maturity scored by dimension with risks weighted by likelihood and impact—so leadership sees not just gaps, but the order in which they actually hurt.
Remediate
Sequenced 90-day remediation roadmap with named owners, dependencies and exit criteria—so the audit ends in a plan, not a binder.
Assessment depth adapts to sector, regulatory posture, and current AI footprint.
AI readiness diagnosed honestly — gaps, risks, the next 90 days
What's included
Everything you need to knowwhere you really are
Independent, evidence-based audit across the dimensions that matter—delivered with a remediation roadmap that fits your next quarter, not a wishlist.
Data maturity assessment
Coverage, quality, lineage, access and platform maturity scored against the use cases the strategy depends on.
Governance gap audit
Policies, decision rights, model lifecycle, incident handling and audit trail evaluated against EU AI Act and your sector regulator.
Talent & skills inventory
Critical roles, single points of failure, sourcing posture and reskilling needs mapped to the next 12 months of demand.
Tooling stack review
Independent view of platform, MLOps, evaluation and observability tooling—what to keep, what to replace, what to integrate.
Risk register
Top AI risks (regulatory, operational, reputational, financial) with likelihood, impact, owner and mitigation status.
Remediation roadmap
Sequenced 90-day plan with owners and exit criteria, plus a 12-month view of dependencies and investments.
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Results
What changes after the audit
Results vary by context, data maturity, and scope. We scope honestly before we promise precisely.
1
honest maturity baseline shared across business, data, IT and risk
Orientative—replaces conflicting internal narratives.
≤90 days
remediation plan with owners and exit criteria ready to execute
Orientative—based on typical engagements.
Full
EU AI Act posture mapped against current artifacts and processes
How we work
From first call to a remediation plan you can act on
Frame
Frame
Week 1
Agree assessment scope, target maturity, regulatory perimeter and the decisions the audit must support.
Evidence
Evidence
Week 2–3
Interviews, artifact review, control walkthroughs and data sampling across the agreed scope.
Score
Score
Week 4–5
Maturity scoring by dimension, risk register, and validation workshops with business, data, IT and risk owners.
Remediate
Remediate
Week 6+
Hand over scored baseline, prioritized risks, and the 90-day remediation roadmap with named owners.
Timelines vary by organization size, regulatory exposure, and the number of in-flight AI initiatives.
Go deeper
Readiness, governance, and what to explore next
Get started
Ready to know honestly where you stand on AI?
No commitment. We start with a scoped session to agree the assessment perimeter and the decisions the audit must support.