Research Agent ROI and Cost per Successful Outcome

Research agents yield a monthly net value of $4,458 when accounting for platform costs and human review time. Based on 650 successful outcomes per month, the unit cost for automated research is $2.31 per success.

These figures assume a loaded staff cost of $55 per hour and include the 35% of tasks that require escalation to a person. True ROI depends on balancing resolution rates against the cost of human oversight and the platform investment.

Agent ROI worked example

Worked example for Research 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 agent interaction?

The cost of an agent extends beyond the $1,500 monthly platform fee. It must include the labor cost of human review for accepted outcomes and the time spent on escalated tasks. Measuring the true cost of an interaction requires tracking the 2 minutes of review needed for every successful result to ensure quality remains high.

How does escalation impact the bottom line?

With a 65% success rate, 350 interactions per month still require manual handling. An agent that resolves fewer tasks but requires less rework can often outperform a high-volume agent that produces poor quality outputs. In this model, the agent delivers 108 net hours saved monthly after subtracting the time humans spend reviewing the work.

NetLift calculates ROI by comparing the 12 minutes saved per outcome against the time spent on review and the platform investment. We grade this data with Evidence Quality levels, moving from initial estimates to verified outcomes. This ensures decision-makers know whether to expand or improve the workflow based on deterministic labor value rather than hype. NetLift measures work and value, not individual productivity, meaning no surveillance or keystroke logging is used.