The six stages of enterprise AI maturity.
Where a finance organization sits on this curve determines every AI decision it should be making this quarter. Most enterprises in 2026 are between Stage 2 and Stage 3.
The wrong move at the wrong stage is expensive.
Each stage has a different question, a different buyer, a different set of capabilities that matter. The point of the model is to stop the generic AI conversation and start the specific one.
Six stages. Six different next moves.
Each card names the buyer in the room, the question they are asking, and the capability that unlocks the next stage.
Aware.
Experimenting.
Adopting.
Operating.
Governing.
Optimizing.
Built from inside. Not from a Gartner report.
Every stage corresponds to a real CXO interaction: the CEO asking for the AI update, the CIO chasing a usage number, the CISO defending an agent incident, compliance facing a framework clock. Operational, not descriptive.
Where are you on the curve?
15 questions. 5 minutes. A named stage, a next move, and a downloadable PDF you can take to your leadership team.
Book the AI Audit.
Thirty minutes to size the discovery surface: employees, devices, SaaS admin access, developer tooling, internal agents, Shadow AI exposure, and the outcome read you need at the end.