Enterprise AI Maturity Model

Navigating Enterprise AI with Confidence

As AI accelerates, so does organizational anxiety. Some race ahead; others retreat. Across this tension, we've identified a pattern that shapes how enterprises adopt—or resist—AI. The Enterprise AI Maturity Model is our structured approach to understanding and guiding that progression.

Whether you're isolating systems to prevent AI use—or scaling AI across the enterprise—this model helps you assess where you are, what risks you're managing, and what opportunities you're ignoring.

The Maturity Model Spectrum

We define seven maturity levels:

1. Active Isolation – AI use is prohibited or blocked at policy and infrastructure layers. Often driven by regulatory constraints, security fears, or cultural rejection.
2. Isolated – AI experimentation exists in silos or shadow IT, without organizational awareness or alignment.
3. Awareness - Aware of AI, but no formal initiatives or governance.
4. Exploratory – Controlled pilots begin with stakeholder support, but lack enterprise integration.
5. Strategic Adoption – Select workflows adopt AI with clear ownership and risk management.
6. Operational – AI capabilities are platformed, observable, governed, and measured across business units.
7. Actualization – AI is embedded into enterprise decisions, data feedback loops, and continuous optimization.

Service Offerings

Each level informs what we offer:

• Architecture & advisory to identify and de-risk next steps
• Security: attestation, compliance, red-teaming, HITL guardrails
• Cost discipline: FinOps applied to training, inference, and ops
• Platform builds: Enterprise RAG and data pipelines, semantic caching, model routing, observability

From principled isolation to transformative adoption, I help enterprises navigate the AI journey with clarity, control, and trust.

References

• Database Solutions
• OWASP HACTU8 – AI Security Project

Credits

Quote

• Original by Mark Roxberry

Image

Photo by Kevin O'Connor on Unsplash