Align on the business decision the diagnostic needs to support. We confirm the priority workflows, stakeholders, current pain points, adoption constraints, and criteria for what makes an AI opportunity worth pursuing.
Outputs: Diagnostic scope, stakeholder map, workflow shortlist, decision criteria.
Review how work actually flows today. We look at workflow steps, handoffs, data availability, governance needs, current tools, exception paths, and where human judgment is required.
Outputs: Workflow observations, readiness snapshot, constraint list, adoption risks.
Turn findings into practical AI opportunities. Each candidate is classified using Control Lanes: where AI can act autonomously, where human review is required, and where work should remain human-only. Opportunities are prioritized by value, feasibility, risk, and readiness.
Outputs: Opportunity map, Control Lanes classification, prioritized pilot candidates.
Deliver a clear executive recommendation. You get the readiness snapshot, opportunity map, top 2–3 pilot recommendations, and a 30/60/90-day adoption roadmap that shows what to do next.
Outputs: Executive readout, pilot recommendations, 30/60/90-day roadmap, next-step options.