AI Readiness Assessment
A comprehensive diagnostic that tells your leadership team whether to proceed with AI investment — and exactly how. Every finding is formally derived through Mathematical Autopsy, so your decisions are built on evidence, not assumptions.
Who It's For
- Organizations considering AI but not yet aligned on scope or priorities
- Leaders evaluating whether current data, process, and governance can support AI
- Teams that need objective, defensible criteria before funding larger initiatives
How Mathematical Autopsy Applies
The Readiness Assessment engages three full MA phases:
| MA Phase | What Happens in Readiness Assessment |
|---|---|
| Intent | We define what a successful AI program means for your organization — not in general terms, but in your specific operational context |
| Foundation | Every dimension of readiness is scored using formalized criteria with documented assumptions and explicit confidence levels |
| Lemmas | Each finding becomes a provable sub-component — individually verifiable, with traceable evidence chains |
This means every score, every finding, and every recommendation can be audited. If someone on your board asks "why did you rate our data readiness at 3 out of 5?" — there's a documented, evidence-based answer.
The Seven Dimensions
We assess readiness across seven critical dimensions:
- Strategy Alignment — Is AI investment aligned with business priorities?
- Data Readiness — Can your data support the initiatives you're considering?
- Process Maturity — Are your operational workflows ready to absorb AI?
- Technology Infrastructure — Does your tech stack support reliable AI deployment?
- Governance Posture — Do you have the controls and policies AI requires?
- Team Capability — Can your people implement, manage, and adopt AI solutions?
- Change Capacity — Can your organization absorb the change AI introduces?
What You Receive
- 7-dimension diagnostic with formal scores and evidence-based findings
- Opportunity map with prioritized AI use cases ranked by value, feasibility, and risk
- Remediation roadmap identifying what needs to be resolved before investment
- 30-day action plan for immediate, measurable progress
- Board-ready documentation suitable for investment discussion and leadership alignment
The Decision Framework
The assessment produces one of three clear recommendations:
- Proceed now — readiness supports immediate investment in identified opportunities
- Proceed selectively — specific opportunities are ready, others require prerequisite work
- Invest in readiness first — address foundational gaps before committing capital
This framing eliminates the most expensive mistake in AI adoption: investing before you're ready to absorb the results.
Why It Matters
An unready organization doesn't just fail at AI — it fails expensively. Pilots run without baselines. Strategies are built on untested assumptions. Investments scale before value is proved.
The Readiness Assessment catches these problems before the money is spent. And because every finding is derived through Mathematical Autopsy, the assessment itself is auditable, repeatable, and defensible — not just another consultant's opinion.