AI Readiness Assessment

Operationalized with quarterly refresh and cascaded targets

Documented policies, inconsistent enforcement

Formal review gates with ongoing monitoring

Embedded controls with audits and model‑risk management

Enterprise owner with cross-functional steering

Enterprise owner with formal decision rights, RACI, and OKRs tied to value

Mostly separate, with limited integration

Some systems are integrated, but gaps remain

Most systems are integrated with minor exceptions

All key systems are fully integrated and data flows automatically enterprise-wide

Limited capability, supports only basic analytics

Sufficient for departmental AI experiments

Suitable for multiple large-scale AI applications

State-of-the-art, designed specifically for advanced AI workloads

Policies exist but were last reviewed more than three years ago

Policies reviewed and updated every 2–3 years

Policies are reviewed and updated continuously

Scalable to a few additional locations with significant effort

Scalable to a moderate number of locations with planned upgrades

Can be rolled out to all locations simultaneously with minimal effort

Data available only monthly or less frequently