Direction & ownership
Clear priorities, accountable owners and time to make progress.
THE FINANCE AI MATURITY CALCULATOR
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Useful AI needs more than a tech stack
Trusted data & access
Reliable inputs, appropriate access and a path back to source.
Repeatable workflows
Useful work that happens consistently, with a fallback.
Controls & accountability
Approved tools, checked outputs and clear action limits.
People & adoption
Practical skills and delivery that outlasts one enthusiastic user.
Measured value
Evidence of benefit after review, rework and tool costs.
How the assessment and improvement targets work
Each of 18 answers scores 0–4. Three answers form each pillar. The weighted pillars produce a score out of 100: direction 10%, data 20%, workflows 20%, controls 25%, people 10% and value 15%.
Stages begin at 0 (Starting), 20 (Exploring), 40 (Repeatable), 60 (Embedded) and 80 (Optimising). Higher stages also require demonstrated practices in trusted data, review, permissions and recurring delivery. Embedded requires every pillar at least 50; Optimising requires every pillar at least 75 and evidence of measured net value.
A “Not sure” answer keeps its weight and produces a range, using 0 and 4 for the two bounds. We withhold a single score and maturity stage until all answers are known. The result is not a peer percentile or a certification.
Connected-tool targets bring Q05, Q06, Q07, Q08 and Q11 to at least level 2. Embedded-workflow targets bring Q01, Q05–Q15 to at least level 3, and Q04 and Q16 to at least level 2. They assume those practices have actually been implemented and demonstrated. They do not assume better strategic priorities, more budget, positive net benefits or a decision to scale.
The rubric and targets are xpnAi’s proposed model, informed by public finance assessments and professional guidance. They have not been statistically validated. A subscription alone earns no points. xpnAi is one way to support the practices; an equivalent tool and process can earn the same score.