Start with economic friction, not AI
The strongest opportunities begin with measurable business friction: labour hours, response delays, conversion loss, errors, rework, risk, or capacity constraints. Naming the cost creates a baseline for evaluating whether a solution deserves to exist.
Map the workflow as it really operates
Interview the people doing the work, inspect the systems and handoffs, and record exceptions. The gap between the official process and the actual process is often where the highest-value automation opportunity lives.
Score value and feasibility separately
A valuable idea may be technically or organizationally difficult. Score expected impact, data readiness, process stability, integration effort, risk, and adoption requirements before prioritizing.
Choose a narrow first proof
The best first implementation proves one important economic assumption without building the entire future state. Define success criteria, a decision date, and the evidence required to scale.
Start with the constraint. Define the finish line. Then decide where AI belongs.
Have a problem worth solving?
Use a strategy call to test the opportunity, fit, and most useful next step.
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