A data analysis agent delivers a net monthly value of $4,458 by saving 108 hours of staff time. This calculation accounts for a $1,500 monthly platform fee and the cost of human staff performing necessary reviews on successful outcomes.
To understand the true return, operations leaders must look at the cost per successful outcome rather than just the total interaction volume. When 35% of tasks are escalated to a person and successful tasks require two minutes of human review, the effective cost per success is $2.31.
Agent ROI worked example
Worked example for Data Analysis Agent using stated NetLift assumptions:
| Input (stated assumption) |
Value |
| Interactions handled per month |
1,000 |
| Accepted / successful outcomes |
65% |
| Escalated to a person |
35% |
| Staff minutes saved per accepted outcome |
12 min |
| Human review per accepted outcome |
2 min |
| Loaded staff cost |
$55/hour |
| Agent platform cost per month |
$1,500 (stated assumption) |
| Computed result |
Value |
| Successful outcomes per month |
650 |
| Cost per successful outcome |
$2.31 |
| Net staff time saved |
108 h / month |
| Labour value of time saved |
$5,958 / month |
| Current net value |
$4,458 / month |
Escalation, review and rework are part of the true cost of an AI agent. Track them — an agent that resolves fewer tickets with less rework can beat one that closes more tickets badly.
Why does the success rate matter for ROI?
In this model, only 65% of interactions result in a successful outcome. The true cost of an agent includes the 35% of cases escalated to staff and the time required for human review. An agent that resolves fewer tickets but requires less rework often provides higher net value than one with high volume but low accuracy.
How is the labor value calculated?
Value is derived from the 12 minutes of staff time saved per successful outcome, adjusted for the two minutes of human review required for each. At a loaded staff cost of $55 per hour, the gross labor value reaches $5,958 per month. The net value is what remains after subtracting the $1,500 platform cost.
NetLift measures the actual work completed and the resulting time saved against objective baselines. We assign an Evidence Quality grade to your data—moving from estimates to verified outcomes—to help you decide whether to Expand, Improve, or Stop an AI deployment. This focus on deterministic value ensures AI spend is a financial decision, not a speculative one.