Map current AI use before scaling it.
The AI Adoption Diagnostic finds where AI is already being used, what workflows are candidates for a pilot, what data and evidence are involved, and what should proceed, shrink, park, or stop.
// what we review: Current AI use by role, tool, workflow, data class, output destination, workflow pain, frequency, reversibility, owner clarity, approval boundaries, excluded data, training gaps, and evidence availability.
// What you receive: AI use inventory, workflow opportunity map, L0 to L4 adoption-level recommendation, evidence needs, and a 30-day next step. Local review copy only; no publication, regulated conclusion, partner claim, production authority, token/chain/network action, carbon-asset action, tool resale, production build, external action, or public claim approval is implied.
Related routes.
Service catalogue
Compare diagnostics, pilot design, governance, DPP readiness, tokenization readiness, simulation, and training.
↗Solution routes
Find the route by department, industry, business type, or evidence need.
↗Resources
Use cases, fictional sample reports, templates, checklists, and synthetic stories.
Map one workflow first.
Bring one workflow, one team, or one evidence problem. The useful next step may be proceed, shrink, park, or stop.