AI Readiness Assessment Deep-Dive
A ~36-minute strategic diagnostic for CIOs, transformation heads, CDOs, and executive sponsors. 5 readiness dimensions, 12-question diagnostic, 3 maturity bands. Calibration over confidence.
8
Chapters
~36 min
Duration
Advanced
Level
No
Certification
Who this is for
For CIOs, transformation leaders, chief data officers, and executive sponsors who own AI as a portfolio.
How this course works
- 8 audio-narrated slide chapters · ~36 min of focused content
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- Apply Tetlock calibration to AI readiness — honest scoring beats green dashboards every time
- Score 5 readiness dimensions independently — data · talent · governance · infrastructure · leadership commitment
- Diagnose 3 stall patterns — pilot-permanent-pilot, data-not-there, governance-afterthought
- Administer the 12-question diagnostic with 3 honest scoring rules — specifically not aspirationally, evidence-anchored, amber/red is normal
- Read your 3-band result — operationalising · building · foundations — and know the next-move for each
- 4 trust trip-wires that protect against confidence theatre — no green without evidence, no sponsorship without budget, no permanent pilots, no governance afterthought
- Walk out with a 12-month roadmap and the conversation to take to your CEO with your honest score in hand
- Grounded in NIST AI RMF 1.0, EU AI Act 2024/1689, ISO/IEC 42001:2023, and Andy Grove's leverage framing
Course content
8 chapters · ~36 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The readiness landscape
Tetlock calibration over confidence applied to AI readiness · 3 stall patterns (pilot-permanent-pilot · data-not-there · governance-afterthought) · the 5 dimensions · why green dashboards lie.
Dimension 1 · Data
4 sub-dimensions (quality · lineage · accessibility · governance) · 3 failure modes (fix-later · data-debt · lake-not-searchable) · 3 honest-scoring questions · 3 things that move it.
Dimension 2 · Talent
3 layers (leadership AI fluency · practitioners · function-wide data literacy) · build/buy/borrow framework · the leadership fluency gap that costs more than any ML engineer.
Dimension 3 · Governance
3 pillars (risk classification · control framework · incident response) · 4 gaps (no inventory · no register · no lifecycle · no vendor terms) · NIST AI RMF + EU AI Act + ISO 42001.
Dimension 4 · Infrastructure
4 components (compute · MLOps · model registry · observability) · 3 gaps (shadow MLOps · compute surprise · silent decay) · cloud + edge realities.
Dimension 5 · Leadership Commitment
The least technical and most decisive dimension. 3 components · 3 failure modes (sponsor churn · year-1 defund · nothing killed) · the CEO 3-question stress test.
The 12-question diagnostic
Diagnostic structure (16 questions across 5 dimensions) · 3 scoring rules · 3 admin patterns (self · committee · external) · 3 bands (operationalising · building · foundations).
Making it stick: your readiness roadmap
Roadmap by band · 4 trust trip-wires (green-no-evidence · sponsor-no-budget · pilots-loop · governance-afterthought) · interactive Markdown builder for your CEO conversation.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.