AI value measurement

How to establish an AI ROI baseline before implementation

Define one unit of work, observe a representative period, and record the old workflow before the new system changes behavior. Without that contract, almost any later ROI story can sound true.

Short answer: record volume, touch time, wait time, rework, loaded cost, quality, exceptions, and the downstream revenue or capacity constraint for one clearly defined unit of work. Name the measurement window and owner. Use the same definitions before and after implementation.

Measure the operation from six angles.

MeasureDefinitionExampleCommon mistake
Unit and volumeThe repeatable case and completed/received count per periodInvoices processed per weekMixing different case types
Touch timeMinutes people actively work on each unit18 minutes across two rolesUsing elapsed time as labor
Wait timeElapsed time between required steps1.6 days waiting for approvalIgnoring customer or revenue delay
Rework and exceptionsShare repeated, corrected, escalated, or rejected12% need a second passCounting only happy-path work
Loaded cost and qualityLabor cost plus defects, credits, leakage, or risk$68/hour and 2.3% error rateCalling capacity “cash savings”
Outcome constraintThe business result the workflow limitsRenewal reviews completed before risk windowOptimizing activity without outcome

Keep the math simple enough to audit.

Annual workload

annual hours = annual units × minutes per unit × people per unit ÷ 60
+ rework hours

Loaded labor cost

loaded cost = annual hours × fully loaded hourly cost

Before/after change

improvement % = (baseline − observed result) ÷ baseline × 100

Report capacity released, cash cost avoided, revenue accelerated, and risk reduced separately. They are different economic mechanisms. Capacity becomes cash savings only if spending falls; it becomes revenue only if the released constraint is redeployed and produces revenue.

A baseline leadership can defend

Choose a representative window

Use enough cycles to include normal volume and meaningful exceptions. Record seasonality, backlog, launches, and policy changes.

Triangulate

Combine system timestamps, a sample of direct observation, and operator review. Any one source can misstate the real work.

Freeze definitions

Name the owner, formulas, exclusions, data source, review window, and acceptable quality floor before the pilot starts.