01
See
Know what AI exists and who owns it - across enterprise tools, plants and third parties.
Industrial AI Governance Index
How prepared is your organization to govern AI at scale?
An executive assessment of AI governance maturity for organizations running AI across enterprise and industrial operations.
15-minute assessment · Private executive report
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10Governance dimensions
50Governance questions
25Critical controls
~15Minute assessment
PrivateExecutive report
Framework
What the Index measures
The Index evaluates whether industrial organizations can see the AI they use, control risk and policy, prove what happened, and improve governance as systems and operations change.
02
Control
Control risk, policies, approvals, access and human oversight where AI can act.
03
Prove
Measure, monitor and evidence AI activity with records that stand up to scrutiny.
04
Improve
Reassess, adapt, change and strengthen governance as adoption expands.
Operating reality
Why industrial AI governance is different
Generic AI policy checklists do not fully address distributed industrial AI operations.
Enterprise AI becomes harder when systems span plants, production, engineering IP, quality, maintenance, supply chain, employee tools, third-party models, agents and multiple countries.
Local teams can adopt models that corporate IT never inventories. A failed provider can interrupt a production process. Governance must reach the shop floor without slowing legitimate operations.
Governance system
The 10 dimensions
A coherent system - not a checklist. Dimensions are grouped by the capability they strengthen: See, Control, Prove, Improve.
SeeVisibility
- 01 AI Strategy, Governance & Accountability
- 02 AI Visibility & Inventory
ControlRisk & policy
- 03 AI Risk & Impact Management
- 04 Approval, Policy & Enforcement
- 05 Data, Privacy & IP Governance
- 06 AI Security & Third-Party Governance
- 07 Human Oversight, Transparency & AI Literacy
ProveEvidence
- 08 AI Quality, Monitoring & Auditability
ImproveResilience
- 09 AI Lifecycle, Change & Resilience
- 10 Enterprise, Plant-Wide Governance & Operational Resilience
Executive lens
Questions enterprise leaders need to answer
Designed for leaders accountable for enterprise AI risk, governance and adoption - the questions that reveal whether governance is real or aspirational.
Do we know what AI exists across the organization?
Who is accountable for each material AI system?
Can policy be technically enforced?
Can AI access sensitive engineering or IP data?
Can humans intervene in autonomous systems?
Can we prove what happened?
Can corporate governance see AI deployed at plant level?
Can we safely continue operations if critical AI fails?
Process
How the assessment works
01
Benchmark context
Organization profile and operating context for industrial AI.
02
50 governance questions
Five questions across each of the ten dimensions, including critical controls.
03
Adoption, coverage & evidence
AI adoption maturity, governance coverage and evidence confidence.
04
Private executive report
A confidential 10-page PDF with scores, gaps and a 90-day roadmap.
Output
What the participant receives
- AI Governance Maturity
- 10-Dimension Profile
- Critical Governance Gaps
- AI Adoption vs Governance
- Governance Coverage
- Evidence Confidence
- Benchmark Position
- 90-Day Roadmap
Confidential · Executive report
Industrial AI Governance Index
Governance maturity
- / 100
Illustrative layout. Your scores appear after completion.
Industry dataset
Building the Industrial AI Governance Benchmark
Participation contributes to an aggregated industrial governance dataset. Peer comparisons are published only when sample size supports the claim - never as fabricated industry averages.
Assessment
Assessment recorded
20
Preliminary peer averages
50
Preliminary percentile
100
Formal percentile
250+
Governance Leader eligibility
Benchmark developing - cohort size determines which comparisons are shown.
Credibility
A structured executive methodology
Versioned and frozen for this release: methodology.v1 · questionnaire.v1 · scoring.v1 · report.v1
10Dimensions
50Questions
25Critical controls
5Maturity levels
AdoptionAI Adoption Maturity
CoverageGovernance Coverage
EvidenceEvidence Confidence
AlignmentAlignment Gap
Uncontrolled
Emerging
Defined
Operationalized
Adaptive
This is a self-reported governance maturity benchmark, not a legal, regulatory or certification assessment. Results should be validated against applicable legal, regulatory, contractual and internal requirements.
Audience
Who should take it
Designed for leaders accountable for enterprise AI risk, governance and adoption.
CIO
Enterprise systems, operating model and multi-site accountability.
CISO
Security, third-party risk and control of AI-accessible assets.
CTO
Architecture, engineering IP and technical enforcement of policy.
CDO / Head of AI
Model lifecycle, data governance and adoption at scale.
Digital Transformation
Plant programs, change portfolios and operational rollout.
Compliance / DPO
Privacy, evidence, auditability and regulatory readiness.
Trust
Confidential by design
- Private company assessment Individual organization results are not published.
- Aggregated benchmark only Cohort statistics appear only when sample size supports them.
- Separate research consent Research participation is optional and distinct from the report.
- No certification claim The Index does not certify legal or regulatory compliance.
FAQ
Enterprise questions
How long does it take?
About 15 minutes. You can save and exit; a draft remains in this browser until you complete it.
Who should complete it?
A leader who can speak to enterprise AI risk and governance - typically CIO, CISO, CTO, CDO / Head of AI, digital transformation, or compliance / DPO - often with input from plant or operations IT.
Is the result confidential?
Yes. Company scores are confidential by default. Aggregated research uses anonymized data once the cohort is large enough. Individual scores are not published without explicit opt-in.
How is the score calculated?
Each of the ten dimensions has five questions. Maturity answers score on a fixed scale; overall governance maturity is the unweighted average of dimension scores. AI Adoption, coverage and evidence confidence are calculated separately. Versions are stored with each assessment so later methodology revisions do not silently rewrite history.
How does benchmarking work?
Peer comparisons depend on dataset size: no percentile below 20 completed assessments; preliminary averages from 20; preliminary percentile from 50; formal percentile from 100; Governance Leader eligibility from 250+. Until thresholds are met, the Index states that the benchmark is developing.
Is this a legal or compliance assessment?
No. It is a self-reported governance maturity benchmark - not a legal, regulatory or certification assessment.
How will my data be used?
To generate your private executive report and, with appropriate consent, to contribute to anonymized industry aggregates. Operators process responses for reporting and confidential benchmarking.
Begin
Benchmark your organization’s AI governance maturity.
Understand where your organization stands today - and where governance needs to evolve as AI adoption expands.
15-minute assessment · Private executive report
Powered by Shonix AI