AI Outcome Measurement Scorecard
Define what better means before AI-supported work moves from pilot to business case.
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The exact sections inside the download.
Time saved
Which cycle time, handoff, or preparation step should improve?
Quality improved
Which error, completeness, decision, or customer outcome should improve?
Review burden
Does AI reduce, shift, or increase human review work?
Cost-to-serve
How does model, tool, and operator cost compare with workflow value?
Confidence signal
What would prove the system is helping rather than creating hidden rework?
Primary KPI
Which single metric should leadership watch first?
01 / 03
Frame the decision
Name the real operating need before designing a solution.
Name the AI-supported workflow, operating loop, or decision.
Capture time, cost, quality, error, or throughput before AI support.
Name who owns the outcome, not just the system.
How to use it
Start with one real decision.
Complete the canvas with the workflow owner, then use the blank areas to expose missing context and controls.