AI Maturity & Readiness Assessment
Where does your organization actually stand on AI?
A board-level diagnostic of AI maturity across 8 dimensions. Grounded in OECD AI Principles, NIST AI Risk Management Framework, Gartner, and McKinsey leading practices. Built for C-suite, transformation, and audit / risk leaders.
Purpose
Most organizations have AI ambition without AI infrastructure. This diagnostic separates strategic clarity from theatre — surfacing whether you have governance, data foundations, value realization mechanics, and the leadership fluency to deliver on AI at scale.
Who it’s for
- Boards demanding AI strategy clarity
- C-suite executives (CEO, CIO, CTO, CDO)
- Risk, compliance, and audit leaders
- Transformation and strategy executives
- Anyone preparing for the EU AI Act, NIST RMF, or board AI committees
What you’ll get
- Total maturity score (normalized 0–100)
- Band: AI-Aspiring / AI-Maturing / AI-Integrated
- Per-dimension heatmap for executive presentation
- Diagnostic hint specific to your band
- 30-60-90 day action plan (with free trial)
- Curated reading list per band
What it measures
Strategy & Business Alignment — AI strategy tied to measurable business outcomes, board reviews on cadence
Leadership & Culture — Senior leaders fluent in AI tradeoffs, modeling responsible use, permitting experimentation
Operating Model & Ways of Working — AI integrated into processes, human-AI protocols defined, production-grade systems
Data Readiness — Governance, lineage, modern architecture, audit-trail policies for AI data use
Technology & Tooling — Secure-by-design stack, vendor-neutral, sandboxes for safe experimentation
Governance, Risk & Ethics — Engineering-led governance, explicit boundaries, audit-quality explainability
Skills & Enablement — AI literacy program at scale, AI skills in role definitions, AI-native talent strategy
Value Realization — Quantified business value, retired failed projects, AI value in standard reporting
