AI Project Governance Readiness Assessment
Premium
An Excel workbook and HTML dashboard that assess AI projects across 12 governance domains and 48 questions, apply 13 mandatory critical gates.
What you receive
AI_Project_Governance_Readiness_Demo.xlsx
AI_Project_Governance_Readiness_Blank.xlsx
AI_Governance_Readiness_Dashboard.html
`AI_Governance_Readiness_User_Guide.pdf
The problem
Organisations are deploying AI faster than they are governing it. Someone asks whether a project is "ready", "responsible" or "safe to launch", and the honest answer is a shrug backed by a slide. Nobody can say which controls exist, which have evidence behind them, which are missing, who owns the gap, or what specifically blocks approval. When something goes wrong — a biased outcome, a privacy exposure, a model nobody can explain — every one of those questions arrives at once, and the governance record has to answer them.
What this changes
A structured 48-question assessment becomes a weighted readiness score, an evidence coverage position deliberately kept out of that score, and 13 mandatory critical gates that override the number when they fail. A project can score 90% and still be on Hold because the data authorisation was never documented and the fairness testing was never produced. Every gap carries a severity, an owner, a target date and a next step, and the dashboard ends with a decisions table: project, risk tier, readiness, failed gate, primary gap, recommendation, owner and due date.
Key outcomes
Assess every AI project consistently across 12 governance domains.
Separate what people claim from what they can evidence.
Apply mandatory gates that a good score elsewhere cannot average away.
Compare projects on one heatmap and see exactly where governance is thin.
Track readiness movement between assessments, including projects going backwards.
Hand every gap to a named owner with a due date and a prioritised order of work.
Give an executive committee a Go, Conditional Go or Hold recommendation with the reason attached.
