Free decision tool · methodology v1 · October 19, 2026

AI Cost Lab

Cheap tokens do not necessarily mean cheap work. Compare the cost of a completed task—including human review, failed attempts, software, and setup.

Illustrative defaults · not measured results

Include the work AI leaves behind.

Manual monthly cost
$6,666.67
AI-assisted monthly cost
$2,850.00
Human review included
$1,333.33
Manual fallback included
$1,333.33
Cost per completed task
$2.85
Monthly difference (positive = lower cost)
$3,816.67
Break-even monthly tasks
34

Results update when you calculate. No inputs leave your browser. Only an aggregate tool-use event is recorded.

What the calculation assumes

This is an editable scenario, not a vendor benchmark or a savings guarantee. Default values are illustrative. Every task receives one AI attempt and human review. Every unsuccessful attempt receives a complete manual fallback, assumed to finish the task. Setup cost is allocated evenly over your chosen months.

Manual cost = tasks × manual minutes ÷ 60 × hourly cost. Assisted cost adds attempt cost, review, manual fallback for the unsuccessful share, monthly software, and allocated setup. Break-even compares these modeled costs; it is not a prediction of demand.

Measure acceptance on a representative test set before trusting a success-rate estimate. Include rework, compliance, latency, and customer impact in your decision; they are not all captured by this model. If failures cannot safely fall back to a person, this model is not sufficient for that workflow.

A bounded pilot, not a leap of faith

  1. Pick one low-risk, reversible workflow and record its manual baseline.
  2. Define an acceptable result before testing.
  3. Measure review time and failures, not just model usage.
  4. Stop if quality or total cost is worse; revisit the assumptions rather than declaring savings.
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