AI localisation provides a net monthly value of $3,875 when accounting for a 58-hour reduction in manual effort. By shifting from 60 minutes per task to 25 minutes, teams achieve a labour value of $4,375 against a monthly AI cost of $500.
This calculation assumes a loaded staff cost of $75 per hour and a volume of 100 tasks per month. These figures represent the realised net value once AI is integrated into the localisation workflow, providing a clear financial signal for operations and finance leaders.
Workflow ROI worked example
Worked example for AI Localisation 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 |
100 |
| Time without AI (per task) |
60 min |
| Time with AI (per task) |
25 min |
| Loaded staff cost |
$75/hour |
| AI cost per month (licences + usage) |
$500 |
| Computed result |
Value |
| Hours saved per month |
58 h |
| Labour value of time saved |
$4,375 / month |
| Current net value |
$3,875 / month |
| Payback |
about 3 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.
What determines the net value of AI localisation?
Net value is calculated by taking the total labour value of time saved and subtracting the full cost of the AI. This includes licences and usage fees. In this model, saving 35 minutes per task results in $4,375 of recovered labour value. Subtracting the $500 monthly AI cost leaves a current net value of $3,875.
How quickly does the investment pay for itself?
Based on these assumptions, the payback period is approximately three days. This is the time required for the net value generated by the time savings to cover the total cost of the AI tool for that month. When time savings are consistently realised across 100 tasks, the cost of the technology is offset almost immediately by the reduction in manual labour hours.
Measuring ROI requires comparing actual time spent with AI against an objective baseline of manual effort. NetLift tracks these time blocks to assign an Evidence Quality grade, ensuring the data is verified rather than just an estimate. This allows leaders to move a project into an 'Expand' or 'Continue' state based on verified net value, without resorting to surveillance tactics like keystroke logging or screenshots.