AI Prospect Research ROI
By Paige Gilmore, Founder, NetLift · Published 2026-07-28 · Updated 2026-08-07
AI prospect research delivers a net monthly value of $2,450 by reducing task time from 25 minutes to 10 minutes. At a volume of 200 tasks per month, the investment reaches payback in approximately 7 days.
AI prospect research generates significant ROI by recapturing 50 hours of labor per month. When task time is reduced from 25 minutes to 10 minutes at a loaded cost of $65 per hour, the labor value of the time saved reaches $3,250. After accounting for $800 in monthly AI costs, the operation nets $2,450 in monthly value.
These figures represent a deterministic model of value. By moving from assumptions to tracked work, sales and finance leaders can determine if the time saved is effectively redeployed into higher-value sales activities.
Workflow ROI worked example
Worked example for AI Prospect Research ROI using stated NetLift assumptions. The table below is illustrative — to run this calculation with your own numbers, use the free AI ROI calculator:
| Input (stated assumption) | Value |
|---|---|
| Tasks per month | 200 |
| Time without AI (per task) | 25 min |
| Time with AI (per task) | 10 min |
| Loaded staff cost | $65/hour |
| AI cost per month (licences + usage) | $800 |
| Computed result | Value |
|---|---|
| Hours saved per month | 50 h |
| Labour value of time saved | $3,250 / month |
| Current net value | $2,450 / month |
| Payback | about 7 days |
Every input above is an assumption until you track real work. In NetLift the same calculation runs on verified time blocks, so the result carries an Evidence Quality grade instead of being an estimate.
How is the net value calculated?
The NetLift model calculates current net value by taking the labor value of realized time saved and subtracting the full cost of the AI, including licenses and usage. This provides a clear picture of whether the automation is paying for itself. In this scenario, the $3,250 in saved labor time more than covers the $800 monthly spend.
What does the payback period indicate?
The payback period of 7 days shows how quickly the net value covers the cost of the AI investment to date. A short payback period suggests that the workflow is highly suitable for AI adoption, provided the time saved is verified against actual work blocks rather than simple self-estimates.
NetLift measures the actual time saved against historical or cohort baselines to provide an Evidence Quality grade. This ensures that ROI figures are finance-credible and not based on hype. Rather than monitoring employees through surveillance, the platform measures the work itself to help leaders decide whether to expand, continue, or review their AI research spend.
Frequently asked questions
How do we account for research tools like ChatGPT or Perplexity in our ROI?
ROI is determined by the time saved on the task minus the cost of the tool. If research requires significant review and rework, that time is tracked and subtracted from the total time saved, which may lower the Evidence Quality grade or change the decision state to 'Review' or 'Improve'.
Is the ROI based on tracking individual employee productivity?
No. The methodology measures work and value at the workflow level, not individual productivity. There is no employee surveillance, keystroke logging, or browser monitoring involved in calculating these returns.
Can I use this model for specialized research between search and LLMs like Claude?
Yes. The model is deterministic and applies to any tracked work. By comparing the 'Time with AI' for specialized research against a manual 'Time without AI' baseline, you can calculate the specific net value and payback for that specific tool application.
About the author
Paige Gilmore is the founder of NetLift, the AI Value Management platform that helps organisations measure the cost, savings and return of AI adoption. Paige Gilmore on LinkedIn