Measure an AI pilot in a Nashville business without inventing ROI

Define the unit of completed work

Choose a unit that matches the employee’s responsibility, such as a complete intake packet or a reviewed draft response. A generated paragraph is rarely the whole business outcome. State what the next person must receive before the task counts as complete.

For a Nashville service business, an inquiry can appear answered while still lacking the information needed to schedule work. Count that as an unresolved case if scheduling readiness is the intended result. Changing the completion rule midway through the pilot makes the comparison unreliable.

Capture a sample with ordinary variation

Include busy periods, incomplete inputs, and work handled by more than one experienced employee when possible. Document what the sample excludes. A batch of carefully prepared examples can establish feasibility, but it cannot by itself describe everyday operating performance.

Separate hands-on effort from waiting. If most elapsed time comes from an approval that happens once a day, faster drafting may not materially change turnaround. This distinction helps you decide whether the next improvement belongs in the software or in the approval process.

Measure corrections and exceptions explicitly

Record whether staff accepted the result, changed it, or completed the task manually. Classify important errors separately from harmless wording preferences. A wrong customer identifier should not disappear inside an average score dominated by easy formatting checks.

NIST’s AI risk framework provides a broad structure for measuring and managing risk. Our practical recommendation is to agree on severity and acceptance criteria before reviewing pilot results. That prevents the team from redefining success around the most flattering metric.

Reference: NIST: AI Risk Management Framework

Make an expansion decision with stated limits

Compare complete work and total effort, including review, support, and exception handling. Use observed numbers for the tested scope and label any extrapolation. If the pilot handled one request type, explain what additional evidence is needed for another department or location.

Agentix can help turn a pilot scorecard into a delivery decision. The outcome may be expansion, a narrower scope, another test, or stopping. A useful scorecard makes the reason visible and names the person responsible for the next step.

Reference: Agentix (publisher): Agentix services

Common questions