Memory hook: Accuracy is a technical metric; useful outcomes pay the bill.
Must remember
Separate technical quality, business outcomes and adoption. Accuracy, precision/recall, groundedness and latency measure different technical properties. Conversion, verified resolution, cycle time, loss reduction or customer satisfaction connect the system to business value. Active use and task completion reveal whether people actually adopt it.
Estimate total lifecycle cost: data preparation, integration, evaluation, inference, storage, security, human review, support and ongoing change. Per-token pricing is only one component. More automation can shift work to exception handling instead of eliminating it. Calculate value net of new costs and compare with a credible baseline.
Use representative pilots, controlled experiments or carefully matched comparisons. Seasonal changes, process redesign and user selection can confound attribution. Report ranges and assumptions rather than one precise forecast unsupported by evidence. Monitor whether gains persist after wider rollout.
For a simple ROI calculation, (benefit - cost) / cost expresses net return relative to cost under the stated period/definitions. Payback estimates time to recover investment; discounted cash-flow measures account for time value when appropriate. These are decision tools, not guarantees. Include nonfinancial outcomes such as safety or service quality alongside financial metrics.
Choose under exam pressure
| Requirement | Choice and reason |
|---|---|
| Model improves but customers are unhappy | Investigate workflow, latency, trust and business outcomes. |
| Compare two approaches | Use consistent populations, period, quality thresholds and total costs. |
| Forecast uncertain adoption | Use scenarios and sensitivity analysis. |
Traps
- Time saved is not automatically cash saved.
- A pilot with expert volunteers may overstate organization-wide adoption.
Active recall
1. Why distinguish adoption and quality?
A capable system may create little value if users cannot or will not use it.
2. Benefit 150 and cost 100: simple ROI?
50%, under those defined totals and period.
3. What is a confounder?
Another factor that could explain an observed change.
4. Why include human review cost?
The operating model may require ongoing validation and exception handling.
5. Why monitor after rollout?
Costs, behavior, data and user needs change over time.