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ALT//R&D FIELD SYSTEM Joshua Byrne

SYS-AI / 2026.06.12

Measuring the Cost and Value of AI Pilots

Count integration, review, correction, and governance—not just subscription fees or minutes saved.

Field note: AI pilots often report impressive time savings from a small demo while leaving out source preparation, integration, quality assurance, remediation, and change management. A credible value case compares the full workflow before and after adoption.

Operational question

Does the pilot improve a meaningful outcome at an acceptable total cost and risk, or does it merely move effort to less visible parts of the process?

A workable method

  1. Baseline the current workflow. Measure elapsed time, skilled labor, wait states, defects, rework, and user experience before the pilot. A weak baseline makes every later claim fragile.
  2. Capture total pilot effort. Include procurement, configuration, content preparation, evaluation, human review, incident response, training, and governance. Separate one-time setup from recurring work.
  3. Measure outcomes and distribution. Track quality and service outcomes alongside productivity. Check whether gains are concentrated among experienced users or whether some groups experience added burden.
  4. Define scale assumptions. State which costs grow with volume, which become cheaper, and which new controls are required at production scale. Run a sensitivity analysis instead of one optimistic forecast.

What this looks like in practice

An AI-assisted research synthesis pilot may reduce first-draft time by four hours but add ninety minutes of source verification and a monthly corpus-maintenance task. The value case should compare net cycle time, factual defects, staff experience, and the cost of maintaining traceability.

Evidence to collect

Choose a small set of measures before implementation. Record the baseline, the source of each measure, the review cadence, and who is authorized to act on the result.

  • cost per accepted work product
  • cycle time from request to approved output
  • severity-adjusted defect and rework rate

Field checklist

  • Write the decision, accountable owner, and decision date.
  • Describe the current workflow and the conditions that shape performance.
  • Confirm the source hierarchy, permissions, and local requirements.
  • Test the method under representative—not merely convenient—conditions.
  • Review both intended outcomes and burden on the people doing the work.
  • Record a change, escalation, and stop rule before results arrive.

Watch-out

Do not convert every saved minute into cash unless staffing or throughput actually changes. Time released for higher-value work is useful, but describe it as capacity and verify how that capacity is used.

Source notes