A practical framework to select, run, and evaluate AI pilots using a value hypothesis, risk assessment, data readiness checklist, governance guardrails, and scaling criteria.
Begin with a practical hunger: capture reliable AI value without wasting time. Most organizations try an AI pilot because a vendor demo looked impressive or because leadership wants to 'be doing AI.' The real hunger is different: find small, testable AI experiments that deliver clear, measurable business value while...
Value Hypothesis Worksheet. Use this short template to craft a testable hypothesis that ties AI to a measurable outcome. Pilot name: ________________________ Business outcome we care about (in plain language): Example: Reduce average manual review time for invoices. Answer: ________________________ Value hypothesis...