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Model the return before you commit

Every assumption is visible and editable, including the two that most calculators hide: how much saved time actually converts to value, and what the thing costs to run.

On this process specifically, not their whole job.

Salary plus benefits, taxes and overhead.

70%

Be realistic. 100% almost never happens — exception handling and review remain.

70%

Not all recovered time becomes cash or redeployed output. 70% is a defensible default; 100% is not.

Our fixed-price sprint, or your own estimate.

Model inference, infrastructure and support. Easy to forget, and decisive.

Net annual saving

₹2,40,960

After running costs and a 70% realisation assumption.

2,208 hrs
Time on this process per year

Across 4 people, 46 working weeks

₹11,04,000
Cost of that time today
₹7,72,800
Gross saving before adjustments

Before realisation and running costs — the number most calculators stop at

₹3,00,000
Annual running cost

Inference, infrastructure and support

0.9
Full-time equivalents released

Redeployable capacity, not necessarily headcount reduction

23 months
Payback period

Time to recover the one-off build cost

Three-year net position

₹2,72,880

Three years of net saving less the one-off build cost. Assumes the process volume, the running cost and the automation rate all hold — if volume grows, this understates it; if the process changes materially, re-run the numbers.

Want these numbers checked properly?

This model is only as good as your estimates. The two-week audit measures the actual hours, the actual error rate and the actual inference cost, then ranks every candidate process on that basis.

About this model

How the numbers work

Estimates in, estimates out

The audit replaces every estimate above with a measurement — actual hours, actual error rate, actual inference cost — and ranks each candidate process on that basis.

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