Every Prime Diagnostic™ ends with the same artefact: the AIRA Report — our AI Readiness Assessment. It gives a board one composite score, a clear picture of strengths and gaps, and a prioritised six-month roadmap. This is how it is built, and why it is built this way.
Five pillars, scored out of 20
Readiness is not one thing. A firm can have excellent data and no mandate to use it; strong leadership and a tech stack that can't support a single integration. The PRIME Framework™ assesses five distinct pillars, each scored out of 20:
One composite score, out of 100
The five pillars sum to a single Prime Diagnostic Score (PDS) from 0 to 100. We resisted the temptation to leave boards with five separate numbers and a shrug. A composite forces a judgement: it places the organisation in one of five bands — Pre-AI, Emerging, Developing, Advanced, or Leading — and that placement drives the recommendation.
The pillar breakdown still matters. It shows where the score comes from, and therefore where the work is. But the headline number is what lets a board compare this quarter to next, and themselves to their peers.
Why composite beats pillar-by-pillar alone
AI readiness has a weakest-link quality. A 90% data score does little if Management Alignment sits at 20% — the programme will stall regardless. A composite score, read alongside the pillar bars, surfaces that imbalance immediately. Five numbers in isolation invite cherry-picking the flattering ones.
One number to decide with; five pillars to act on. The AIRA Report is engineered so a board can see its position at a glance — and its priorities underneath it.
The full Prime Diagnostic™ runs 70+ data points across the five pillars, with stakeholder interviews and a board-ready report, in two weeks. You can preview the method in three minutes with the free assessment below.