Model your operational lift
Tune volume, handling time, and loaded cost to stress-test operational savings for Technology Ops or People Ops. Cloud savings and avoided delivery delay are scoped separately during solution design.
- Queue workload
- 1,200 h/mo
- Team capacity (12 FTE)
- 2,078 h/mo
- Assumed automation
- 60% over 3 months
Cost per productive hour is $79.19, based on 85% of paid hours net of leave and non-queue time.
Model uses illustrative automation and cost assumptions. Replace with your enterprise economics during a formal business case.
Estimated impact
Estimated annual savings updated to $720,652.
- Hours saved / mo
- 758
- FTE equivalent freed
- 4.38
- Annual savings at run rate
- $720,652
- Rework reduction
- 40.0%
- Year-one ROI
- 425%
- Payback (illustrative)
- 3 months
720 h automated, 38 h rework avoided
of 12 FTE in scope
$630,570 in year one after a 3-month ramp
8% rework rate falls to 4.8%
501% once fully ramped
Counts only labor and rework inside this queue, against an internal placeholder platform cost for demo purposes. Cloud savings, avoided delivery delay, and risk reduction are scoped separately during solution design.