A diagnostic for leaders deciding whether their organization is actually ready to deploy AI agents: not whether the technology works, but whether the org will.
Most AI initiatives don't fail on the model; they fail on adoption: no clear owner, no scoped use case, no governance, no plan for making the change stick. This tool scores readiness across six dimensions, surfaces your weakest link, and names the single highest-leverage next move. It also asks two questions the score cannot answer: whether your people trust that a change will outlive its announcement, and whether they have any room left to absorb one. Where those two say no, the tool will tell you so, and will say plainly that the technical gap is not your first move. Load a demo company below to see it work, then move the sliders to model your own.
Readiness scores measure whether an organization can. These two questions ask whether its people will. That is usually the part that decides it, and it is the part most assessments skip.
Readiness = average across six dimensions, 1–5. Move any slider to model a scenario. Your session persists on this device only.
What it is. A readiness diagnostic I designed to make a hard question concrete: is an organization ready to adopt AI agents, or will the rollout stall? The six dimensions map to established change-management thinking (sponsorship, capability, reinforcement) applied to the specific problem of deploying autonomous and semi-autonomous AI.
What the demo data is. The example companies are fictional, illustrative profiles, built to show how the scoring behaves across different maturity shapes, not records of real engagements.
Why I built it. I spent two decades in live production, on the road from 2005 to 2026: the work of getting people, systems, and a plan to actually hold up under pressure. This tool applies that operator's lens to AI adoption. The scoring logic is deterministic and runs entirely in your browser; there is no backend and nothing is collected.