Enterprise Maturity Compass
Measure how ready your enterprise is to turn AI into business value — across eight dimensions that separate one-off pilots from scaled, governed capability.
Strategy & Vision
Whether AI is backed by an executive strategy, a funded roadmap, and prioritized use cases tied to business value.
Data Foundation
The quality, accessibility, and governance of the data that feeds every AI system.
Technology & Infrastructure
Cloud maturity, scalable compute, MLOps tooling, integration with core systems, and security posture.
AI/ML Engineering
A reusable model lifecycle — build, deploy, monitor, retrain — with experiment tracking and registries.
Governance, Risk & Ethics
Responsible-AI policy, fairness audits, explainability, compliance, and human-in-the-loop controls.
Operating Model & Process Integration
Whether AI is embedded in real workflows (not siloed PoCs), with a CoE, funding model, and change management.
Talent, Culture & Workforce
AI literacy across roles, data-science staffing, leadership fluency, and an experimentation culture.
Value & Outcomes
Measured ROI, pilot-to-production conversion, share of models in production, and KPI lift attributable to AI.
How it works
32 statements, rated 1–5. Takes about 6 minutes. Your answers stay in this browser.
Advisory report: AI & quantum for ERP and legacy estates
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