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AI agent ROI calculator

Estimate the hours and money a process automation would save, and how long it would take to pay for itself. Every assumption is visible and editable — including the ones that make the number smaller.

Runs entirely in your browser — nothing is sent to us

Your numbers

Tickets, documents, orders — whatever the unit of work is

Average handling time, start to finish

Salary plus employment costs, not the headline salary

Be realistic — the awkward 20% is usually most of the difficulty

Early on this is high. It falls as evaluation data accumulates.

Checking an answer is faster than producing one

Scoping plus implementation

Inference, infrastructure, monitoring and support

Estimated annual saving

Net of build and running costs, in year one.

Payback
Hours freed / month

The workings

Current monthly cost
Monthly cost after automation
Monthly running cost
Net monthly saving
One-off build cost

What this number is not

It assumes freed capacity has somewhere to go. Hours saved only become money if that time is redeployed onto work with value, or if it absorbs growth you would otherwise have hired for. If the time is simply absorbed, the saving is real but invisible on your P&L.

It excludes change management. Training, process redesign, and the weeks where people run both the old and new way in parallel are real costs this does not model.

It assumes a steady state. Month one will not hit your target automation rate. Expect a ramp as evaluation data accumulates and review thresholds loosen — which typically means the first quarter underperforms this figure and later ones exceed it.

The automatable share is the number that matters most. It is also the one people are most optimistic about. If you are unsure, halve your first instinct and see whether the case still holds — if it does, you have a robust project.

Want this checked against your actual numbers?

These figures come from general assumptions. A scoping call replaces them with yours.

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