An Interactive AI Capability Maturity Framework

Every organization we talk to is at a different stage with AI. Some are still sorting out data. Some are already deploying agents everywhere. Most are somewhere in between, without a clear view of where they stand or what comes next.

The Interactive AI Capability Maturity Framework is a simple way to answer two questions: where are we, and what's next? It is not a slide deck or a PDF. It is an editable HTML page you can open in any browser and start using in seconds.

It is organized in three tiers:

• Tier 1, Foundation: people and skills, cloud basics, data governance, and AI governance and responsible AI. Skip this and everything above it is at risk.
• Tier 2, Value: MLOps, GenAI applications, fine-tuning, and predictive models. This is where AI starts paying for itself.
• Tier 3, Advanced: multi-agent systems, self-healing pipelines, and AI security and resilience with zero-trust controls.

What makes it different:

• Interactive: Edit Mode lets you color-code your current state (green for done, yellow for planned, red for not for us), add target dates, and save your version.
• Non-linear by design: some teams ship GenAI apps before fixing data lineage. The framework reflects that reality instead of judging it.
• Responsible AI is built in, not bolted on: fairness, transparency, and compliance appear at every level, aligned with the NIST AI Risk Management Framework and the EU AI Act.
• Vendor-neutral: it speaks in capabilities, not products. Use whatever fits your stack.
• Higher maturity isn't always better: in our view, levels 3 to 4 deliver most of the value for most organizations. Level 5 is aspirational, not mandatory.

Try it on our Labs page, or download it from GitHub and make it your own.