Capability
Capability score
0 to 100, banded against the live global cohort. How mature the organisation is across six dimensions of AI capability.
Enterprise AI Diagnostic
Most leadership teams do not have a reliable view of how AI is actually operating across their organisation.
The Global AI Adoption Benchmark™ establishes that baseline by measuring AI capability, workforce sentiment, and operational avoidance across the enterprise, benchmarked against the global cohort.
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Free · ~5 minutes · Report delivered by email
Aligned to emerging AI regulatory standards
- NIST AI RMF
- ISO/IEC 42001
- EU AI Act
- ESRS
- Inaix AIRF v1.01
Is Your Organisation Ready for AI
Three questions that determine whether AI strategy is grounded in reality
If these questions cannot be answered with evidence, governance is being applied to assumptions rather than operational reality.
- 01Is our current AI capability sufficient for where our industry will be in the next 24 months?
- 02Is workforce sentiment accelerating AI adoption, or quietly slowing it down?
- 03Where is AI adoption breaking down operationally, and why is that friction invisible to leadership?
Enterprise Benchmark
A defensible, board-grade reading in 30 days
The Enterprise Benchmark expands the GAAB so every Executive, every Department Lead, and every Individual Team Member in scope completes the instrument each quarter. The board receives a continuously refreshed reading of AI capability, sentiment, and avoidance across the whole organisation, on the same scale as the global cohort.
Sentiment
Sentiment index
0 to 100, in two facets: propensity to innovate, and maturity to do so safely. The leading indicator most boards do not have.
Avoidance
Avoidance index
Where AI is being deliberately avoided, by whom, and for what reason. The intervention is in the reason, not the percentage.
The Enterprise AI Adoption Instrument
The AI Management System for leading organisations
The instrument, the six dimensions, and full standards alignment.
The six dimensions of AI capability
Equally weighted at one-sixth of the composite. Engineered to align with the functional structure of the NIST AI Risk Management Framework and to cover the seven trustworthy characteristics.
DIM1
Observability
Whether the organisation can see what AI is in use, where, and how reliably it can be surfaced.
DIM2
Accountability
Who owns AI-influenced outcomes, how incidents are handled, and whether external stakeholders can flag, contest, or appeal AI decisions.
DIM3
Risk and Control
Data sensitivity controls, decision authority boundaries, and pre-deployment evaluation of new AI capability.
DIM4
Capability and Velocity
Adoption pace, distribution of AI capability across the workforce, and the enablement of internal building.
DIM5
Strategy and Value
Whether AI is linked to defined business outcomes, governed at leadership and board level, and measured against value targets.
DIM6
Trustworthiness
Validity and reliability of AI systems, evaluation of bias and disparate impact, and the explainability of AI outputs.
Standards alignment
Every scored question carries five reference tags. The aggregate is a board-ready disclosure profile across the international standards your auditors and regulators are already using.
NIST AI RMF and Playbook
Current and target Profile across GOVERN, MAP, MEASURE, MANAGE, with a coverage view of the seven trustworthy characteristics, and a sequenced Action List for any dimension below 4.0.
ISO/IEC 42001
Operational evidence against Clauses 6.4 (risk treatment) and 8 (operation), with the Inaix Pillars providing the implementation pathway from current state to certifiable maturity.
EU AI Act
Direct cross-references to Articles 9, 10, 12, 13, 14, 15, 21, 25 and 26, and Annex III high-risk classification.
ESRS (CSRD) and GRI Standards
G1 governance, S1 own workforce including just transition and worker voice, and S4 consumers and end-users including privacy, non-discrimination, and remedy mechanisms. Direct mappings to GRI 2, 308, 401, 404, 405, 416, 417, and 418.
Why this is different
Five things unique to the Enterprise AI Adoption Benchmark™
- 01
Three-layer triangulation
The Executive Team, every Department Lead, and every Individual Team Member answer the questions only their layer can credibly answer. Where the layers agree, the score is reliable. Where they disagree, the disagreement is the diagnostic.
- 02
Sentiment as a leading indicator
Capability moves slowly; sentiment moves first. The Quarterly Pulse gives the leadership team a 90-day early warning system the rest of the dashboard cannot give them.
- 03
Avoidance, segmented by reason
Most assessments ignore deliberate non-use. Two organisations with the same capability score and the same sentiment can have radically different avoidance profiles, and the reason mix indicates the right intervention: access, training, ethics, or fear.
- 04
Direct transition to an AI Management System
The Board Report is engineered to feed the Inaix AI Governance Framework or an existing AIMS programme. It is the first layer of the system, not another report.
- 05
Workforce capability and risk visibility
The benchmark reveals where AI capability is already concentrated within the organisation, identifies individuals accelerating adoption and internal innovation, and surfaces hidden risk patterns that conventional governance processes often fail to detect.
How the Enterprise Benchmark works
Engage all stakeholders across the organisation
01
Executive Team Members
CEO, CFO, COO, CTO, CHRO, Chairman, Board Directors, and other C-suite leaders complete the instrument to anchor strategic intent and accountability.
02
Department Leads
Marketing, Finance, Commercial, Product, Distribution, Operations, Technology, People, Risk, and Legal heads respond to surface operational reality.
03
Individuals
Identify and engage AI leaders within teams to initiate adoption, share practice, and assist the wider organisation.
04
Quarterly cadence
Repeat each quarter to monitor progress, surface risk, and track the AI adoption trajectory across the organisation.
Request the Enterprise Benchmark
A defensible, board-grade reading in 30 days
Get a real-time pulse on how AI adoption is progressing across the organisation, surface risks, identify opportunities, and future-proof your business.