A scheduling agent produces a net value of $4,458 per month based on 1,000 monthly interactions and a 65% success rate. This figure accounts for the $1,500 monthly platform cost and the labor cost of human oversight, resulting in a true cost per successful outcome of $2.31.
Financial value is derived from the net staff time saved. While the agent saves 12 minutes per outcome, the 2 minutes required for human review reduces the net gain to 10 minutes. At a loaded staff cost of $55 per hour, this recovers over 108 hours of capacity every month.
Agent ROI worked example
Worked example for Scheduling 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 is the true cost of an AI-scheduled appointment?
The cost of an AI agent is more than its subscription fee. To find the true cost, you must factor in the labor required for human review and the 35% of interactions that escalate to a person. In this model, the $1,500 platform cost is spread across 650 successful outcomes, making each success cost $2.31 before labor value is even reclaimed.
Why distinguish between successful and escalated outcomes?
Escalation and rework are the primary drivers of hidden AI costs. A scheduling agent that handles high volume but requires frequent manual intervention can quickly become a net loss. By tracking the 35% escalation rate, leaders can determine if the agent belongs in a 'Continue' or 'Improve' decision state. The goal is to ensure the labor value of time saved ($5,958) consistently exceeds the total cost of ownership.
NetLift applies a deterministic model to track work rather than relying on sentiment or surveillance. By comparing the time the work would take without AI against the realized time including review and rework, we provide an Evidence Quality grade for your ROI. This ensures that the 108 hours saved per month are verified against objective baselines, allowing you to move from 'Estimate Only' to 'Verified' value.