AI Decision Readiness Diagnostic™
Answers to the most common questions about the diagnostic, the concepts used and the underlying methodology.
It is a self-assessment tool that measures your organisation's readiness to make AI investment decisions. It evaluates 6 critical dimensions plus a strategic ambition gate dimension, generating a personalised profile with actionable recommendations.
Between 10 and 15 minutes. There are 24 main questions plus 3 initial strategic ambition questions.
It is a gate dimension that assesses whether there is sufficient strategic ambition to justify the full diagnostic. If the score is below 4.0/10.0, the diagnostic recommends working on strategic alignment first before moving forward.
This is a technique by Rita McGrath (Discovery-Driven Planning) that starts from the desired financial outcome and works backwards to calculate which assumptions need to be true for that outcome to materialise. It allows you to test viability before committing resources.
A concept from Eric Siegel's BizML framework. It is the specific variable that an AI model must predict in order to generate business value. For example: "which customer will churn in the next 30 days" rather than "use AI to reduce churn". Without a clear target, ML projects fail.
These are formal decision points where the team evaluates whether to continue, pivot or cancel a project. Based on Discovery-Driven Planning, they allow losses to be limited and resources redirected early.
Critical (0–3.3): fundamental gaps that prevent progress. Developing (3.3–5.0): partial foundations with significant risks. Ready (5.0–7.0): solid base to move forward with active risk management. Advanced (7.0–8.5): high maturity with targeted optimisations. Reference (8.5–10.0): sector excellence level.
Yes. The data collected (name, email, role and answers) is treated confidentially and used exclusively to personalise your diagnostic report.
Yes. We recommend repeating it every 3–6 months to measure the evolution of your organisation's readiness.
The AI Decision Readiness Diagnostic™ was developed by Miguel R. Trigo, PhD, integrating reference frameworks in strategy and AI. To learn about the full approach, read the Manifesto at /manifesto-en.