Most AI readiness assessments tell you what you want to hear. This one tells you what you need to know.
A structured, FMEA-inspired organizational diagnostic that surfaces the readiness gaps your leadership team can't see yet. Ten dimensions. Three metrics each. A prioritization formula borrowed from the discipline you already trust.
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Free. No sales sequence. Just the assessment.
You have seen the AI readiness quizzes. Ten questions, a score out of 100, and a recommendation to "schedule a call to discuss your results." They are designed to qualify you as a lead, not to give you something useful.
This is not that.
The AI Readiness Self-Assessment is a structured organizational diagnostic built on FMEA methodology — the same Failure Mode and Effects Analysis logic that has been a cornerstone of process improvement for decades. Instead of asking "what could go wrong in production," it asks: what could go wrong in AI adoption, how severe is the impact, and can your organization see the gap?
Ten dimensions. Each scored on three metrics — Maturity, Impact, and Visibility. Each producing a Readiness Priority Number that surfaces your highest-risk blind spots through the same multiplicative logic that makes FMEA effective: the most dangerous gaps are the ones where maturity is low, impact is high, and the organization cannot see the problem clearly.
The result is not a score. It is a profile — a multi-dimensional picture of where your organization actually stands, built through the kind of structured assessment your team already knows how to run.
Built for the people who already know how to do this work
This assessment is written at the Green Belt level. If you have basic continuous improvement fluency and can facilitate a structured conversation with your leadership team, you can run it.
It is designed for the person in your organization who already holds executive trust for process improvement work — the Master Black Belt, the VP of Operational Excellence, the Director of Continuous Improvement, or whoever occupies that role regardless of title. The person who can hold the room, push for honest answers, and keep the conversation structured.
The assessment includes facilitation guidance, scoring anchors for every dimension, and a companion deep-dive section that explains what honest scoring looks like versus aspirational scoring. It is a complete, self-contained tool — not a teaser for a sales conversation.
What the assessment produces
A composite readiness profile across ten dimensions that determine whether AI investments succeed or fail:
- Executive Alignment on AI
- Budget and Investment Appetite
- Available Resources and Technical Capability
- Commitment to Focused Execution
- Process Maturity and Continuous Improvement Culture
- Staff Openness to AI and Change
- Realistic AI Capability Understanding
- Data Privacy, Security, and Risk Tolerance
- Clarity on Human Role Evolution
- Leadership Commitment to Workforce Transition
For each dimension, you score Maturity (where you are), Impact (how much it matters), and Visibility (how clearly you can see your own position). The Readiness Priority Number formula — (10 − Maturity) × Impact × (10 − Visibility) — surfaces the dimensions that deserve attention first.
The assessment document includes everything you need to run it: facilitation instructions, scoring anchors, dimension deep-dives, a composite scoring summary, and guidance on what to do with the results.
This assessment is part of the Human-Centered AI Framework, developed by Attila Dobai.
The framework draws on twenty years of operational excellence work — including eight years as a meteorological analyst in the United States Marine Corps and fifteen years leading process improvement at enterprise scale, where a structured approach to the same kind of diagnostic thinking cut $40 million in annual expense from a $100 million maintenance budget without eliminating a single position.
The FMEA adaptation at the core of this assessment applies the analytical rigor of failure mode analysis to a domain where most organizations are still guessing: whether they are actually ready for AI, and where the gaps are that they cannot see.
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Free. No sales sequence. Just the assessment.