AI Maturity Self-Assessment | Enterprise AI Strategy Suite

Strategy & Governance

Which description best matches your organization today?

1: Ad HocNo documented AI strategy; decisions made ad hoc per team with no central visibility.2: FoundationalBaseline policy exists (Acceptable Use, tool catalog); governance bodies chartered but not yet fully operating.3: EmergingGovernance Council and Review Board operating on a regular cadence; risk tiering applied consistently to new use cases.4: ScalingGovernance fully embedded in the lifecycle; compliance mapping automated; policy reviewed on a fixed annual cadence.5: Optimizing/TransformationalAI governance is a board-level agenda item; strategy continuously refreshed against emerging regulation and technology.

CoE / Operating Model

Which description best matches your organization today?

1: Ad HocNo central AI function; every team fends for itself.2: FoundationalVirtual CoE: a part-time council plus one program lead.3: EmergingLight central team with dedicated governance, platform, and enablement leads plus BU champions.4: ScalingFull CoE with sub-teams and federated delivery pods embedded in business units.5: Optimizing/TransformationalCoE operates as an internal platform-as-a-service; embedded AI engineers in every business unit.

Data & Infrastructure

Which description best matches your organization today?

1: Ad HocNo data classification standard applied to AI; tools connect directly to production data with no controls.2: FoundationalData classification levels defined; approved tool catalog published with basic access controls.3: EmergingPlatform standards defined (model gateway, logging); MLOps/LLMOps tooling introduced for priority use cases.4: ScalingShared platform standard adopted broadly; observability and access controls consistently enforced enterprise-wide.5: Optimizing/TransformationalFully self-service platform with embedded governance controls; infrastructure scales elastically with demand.

Talent & Culture

Which description best matches your organization today?

1: Ad HocNo formal AI training; adoption is entirely grassroots and inconsistent.2: FoundationalFoundational training rolled out to all employees; champion network not yet established.3: EmergingChampion network active; persona-based curriculum expanding to Power Users and technical roles.4: ScalingFull persona-based curriculum operating with certification tracks; training tied to onboarding and refreshers.5: Optimizing/TransformationalAI fluency is a core competency expectation; culture treats responsible AI use as second nature.

Security & Risk

Which description best matches your organization today?

1: Ad HocNo AI-specific threat model or controls; shadow AI usage undetected.2: FoundationalBaseline AI security controls defined (Tool/Vendor Approval, basic logging); threat model documented.3: EmergingRed-teaming program active for Tier 2+ use cases; incident response runbook operating.4: ScalingContinuous monitoring and automated anomaly detection; re-certification cadence consistently met.5: Optimizing/TransformationalSecurity posture is proactive and predictive; near-zero critical incidents with mature detection/response.

Value Realization

Which description best matches your organization today?

1: Ad HocNo tracking of AI value or ROI; anecdotal claims only.2: FoundationalBasic adoption metrics tracked (active users, use cases); no formal ROI methodology.3: EmergingKPI Dashboard operating across Adoption, Value, and Risk & Compliance families for priority use cases.4: ScalingFull five-family KPI reporting to the Governance Council; ROI demonstrated in 3+ business functions.5: Optimizing/TransformationalAI-driven value is a board-level KPI; value realization is continuously optimized across the portfolio.

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The full workbook adds a Current vs. Target gap column and a roadmap tracker for reporting progress to the Governance Council.

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A narrative walkthrough of how to run this assessment and act on what it tells you.

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How mature is your organization’s AI program, really?

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