What the AI Maturity Assessment measures
The Pulse AI Maturity Model plots your team on two independent axes rather than collapsing everything into a single score: how you use AI (as an occasional tool versus as a system that runs on its own) and how widely you use it (single-player, stuck in a few people's heads, versus multi-player, run to one standard across the team). Where you land on both axes defines your phase.
The four phases
- Phase 1 — Tinkerer. AI is on the team's desk but shows up as one-off help. The wins are real, but the leverage lives in a few heads.
- Phase 2 — Power User. Your best people have turned AI into systems that run without them, though adoption is still narrow.
- Phase 3 — Foundation. More than a handful of people use AI to one standard, mostly as a tool for faster tasks.
- Phase 4 — Orchestration. People direct fleets of agents and custom platforms carry your process end to end. The most defensible position in the model.
The four readiness rails
Beneath the phase, the assessment scores four rails that decide whether your AI holds up as it scales: data, governance, security, and ROI. Your weakest rail is usually where AI stalls next, so the report names it and gives you the one move to strengthen it.
Who it's for and what you get
It's built for leaders who already have AI working somewhere and want to know what it takes to make it stick across the organization. Answer ten questions (about three minutes; ten optional follow-ups sharpen the read) and you get your phase on the maturity matrix, a breakdown of all four readiness rails, a plain reading of where your AI is most likely to get stuck, and the specific next move that unlocks the following phase. Nothing to install, and your answers stay in your browser until you ask us for the full roadmap.