Questions on which the reviewed public sources contained disclosure meeting at least the level-2 anchor of the published rubric:
Level 4 — audited, third-party or filing-grade
- AI leadership and organisation
Level 3 — instances, or a disclosed number linked to a named system
- production AI autonomy
- AI deployed across functions
- orchestration or integration platform
- guardrail and evaluation documentation
- model strategy or vendor architecture
- hosting or infrastructure posture
- AI governance posture
- AI talent or training figures
- AI-specific investment
- improvement trail and versioning
- position on agentic or AI-mediated exposure
- B2B AI deals
- product that could not exist before AI, with volumes
- modelling of AI's effect on the company's own pricing or demand (scored only where voluntarily disclosed)
- leadership commitment and strategic response
Level 2 — disclosed; not quantified or independently verified
- named AI platform or knowledge substrate
- internal AI tooling in use
- open or external build surface
- evaluation and benchmarking practice
- API or integration surface
- canonical data platform
- role redesign around AI
- AI attribution to reported economics
- AI-attributed operational rate
- AI-native monetisation
Level descriptions are those of the published rubric. The evidence annexure sent to the company lists the specific documents and passages relied on for each question.