An RFP response agent generates a monthly net value of $4,458 when handling 1,000 interactions with a 65% success rate. At a loaded staff cost of $55 per hour, the agent saves a net total of 108 hours per month. This figure accounts for the time spent on human review and the 35% of cases that must be escalated to a person.
The true cost of an AI outcome is not just the software license; it includes the labor required to verify the results. While the agent saves 12 minutes of work per outcome, the requirement for 2 minutes of human review ensures quality but reduces the gross time saved. Tracking these nuances allows department leaders to see the actual labor value of time saved, which in this model reaches $5,958 per month.
Agent ROI worked example
Worked example for RFP Response 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.
What determines the cost per successful outcome?
The cost per successful outcome is calculated by dividing the total platform cost by the number of accepted results. In this scenario, 650 successful outcomes are produced from 1,000 interactions, resulting in a unit cost of $2.31. This metric is critical for procurement because it reflects the efficiency of the AI agent after accounting for the 35% of tasks that it cannot complete and must escalate to staff.
How does human review impact the net value?
Net value is the labor value of realized time saved minus the full AI cost. Even when an agent's output is accepted, it is rarely "free." This model assumes 2 minutes of human review for every successful outcome. If review time increases or the success rate drops, the net value will fall. Measuring these variables helps leadership determine whether to Expand the rollout or Review the agent's performance to reduce rework.
NetLift moves AI evaluation from sentiment to deterministic measurement. By comparing the time saved against an objective baseline, we assign an Evidence Quality grade to your ROI. This ensures that the $4,458 in monthly value is a verified financial reality rather than an estimate. Our methodology focuses on work and value produced, providing the data needed to make Continue or Stop decisions without using intrusive surveillance like keystroke logging or screen monitoring.