Executive summary
Decision briefPrompts processed, documents summarized, and estimated hours saved are activity signals—not business outcomes. Measure whether work was completed correctly, how often people had to fix it, how long resolution took, and what value or risk the result carried.
- Complete
- Track the percentage of cases finished correctly.
- Correct
- Measure human review and rework instead of hiding it.
- Connect
- Tie AI activity to resolution time and business value.
A realistic example
A dashboard reports rising prompt volume, more documents summarized, and hours supposedly saved. Meanwhile, employees maintain a second queue of corrections, approvals, and unanswered exceptions. The AI is busy, but customers and operations are still waiting for completed work.

Before and after
Before
- Success is reported through prompt volume, summaries generated, and model activity.
- Estimated hours saved are accepted without measuring correction work.
- Exceptions and unfinished cases sit outside the dashboard.
- Teams celebrate output before confirming the customer or business result.
After a controlled improvement
- Every workflow has a defined, accountable completion state.
- Correct completion and human correction rates are measured together.
- Resolution time includes exceptions, approvals, and rework.
- AI activity is connected to business value, risk, and customer outcome.
Four measures that reveal whether AI work is useful
Correct completion rate
Measure the percentage of cases that reach the intended finish line accurately and within the approved workflow boundary.
Human correction rate
Track how often people must repair, rewrite, reconcile, or override the AI output before the work can continue.
End-to-end resolution time
Measure from the original request through final resolution, including queues, exceptions, approvals, and rework.
Business value or risk
Connect the result to revenue, cost, customer experience, compliance, loss prevention, or another accountable operating outcome.
Tools and process components
- Workflow completion and exception tracking
- Human-review and correction records
- End-to-end cycle-time measurement
- Customer or employee outcome feedback
- Cost-per-completed-task reporting
- Business-value and risk scorecards
Safeguards to keep
- Do not report hours saved without measuring the work shifted into review, correction, or exception queues.
- Do not let model-level accuracy replace end-to-end workflow completion evidence.
- Do not compare the new workflow with an undocumented or unusually weak version of the old process.
- Do not optimize for volume when the valuable cases require reliability, judgment, or accountability.
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Related practical guides
The practical takeaway
Do not celebrate that the AI worked. Celebrate that the work reached done.