Commit to a Pilot Success Metric
Define an AI pilot success metric that measures workflow outcome, quality, and decision readiness.
Outcome-based success metric for an AI pilot A candidate pilot where current metrics count AI outputs, demos, users, or prompts instead of workflow improvement. Objective: [workflow outcome]. Key result: improve [metric] from [baseline] to [target] by [date/population], while [quality/risk guardrail] stays above/below [threshold]. Continue if [decision rule]; change or stop if [failure rule]. Objective: [make a real workflow faster/better/safer] KR1 outcome: [baseline] -> [target] KR2 guardrail: [quality/risk/adoption threshold] Decision rule: continue if [threshold], change if [learning], stop if [risk or no workflow lift] A pilot currently reporting number of AI outputs generated rather than time saved, rework reduced, or decisions…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in