What your dashboard doesn't show
A usage dashboard tells you how many people open AI. It doesn't tell you where the work really stands. The Adoption Quality Map reads one workflow with three questions and places it in one of five spots: two healthy, two that need a closer look, and one hidden risk.
The map describes the work, not the person. No score; you get a place on the map and the questions you couldn't answer. Your answers never leave your browser; no email needed.
Three questions, five places
How one workflow reads on the map
An insurance company. Claim-file summaries are the workflow with the highest usage on the dashboard. Where would the executive put it on the map?
On a dashboard, Integrate and Outsource look the same: high usage, fast work. The third question shows the difference. The result here is not a certainty: not knowing whether checks happen is not the same as knowing they don't. It is a risk hypothesis to test in the field.
Now it's your turn
Pick one of your own workflows. First guess from your dashboard, then answer three questions. The map updates with every answer.
Add the human layer
Executive briefing
90 minutes, in person. Two leaders attend: the business-unit leader who owns the work, and a leader from HR or transformation.
You bring: one screen from your usage dashboard and the names of two workflows. No raw data, no names.
You leave with: one page. A first reading of both workflows, the questions you couldn't answer, the conditions in your hands and a candidate workflow for the Sprint.
The briefing commits you to nothing.
Human Layer Sprint
Six weeks on one or two workflows. A decision and three reports for each workflow; a persistence check ninety days later.
Terms: paid, below standard rate, for the first three organizations. In return we ask for structured feedback and, if you agree, a named reference.
Human layer module
Plugs into your diagnosis, implementation and scale stages, delivered under the Conscious AI Adoption method.
Who it’s for: C-level · transformation office · HR leaders · AI adoption and training partners