Strategy6 min read20 January 2026

How to Calculate ROI on AI Workflow Automation Before You Build

Most automation projects are justified with vibes. Put numbers on hours, error cost, and throughput unlock, before a single line of code.

Desk with calculator and financial documents

“This will save us a lot of time” is not a business case. When a client brings an automation idea, we build a simple ROI model together before architecture or pricing.

Four variables that matter

  • Hours saved per week on the current process
  • Fully-loaded cost per hour of the people doing the work
  • Error-rate reduction and the cost of those errors today
  • Throughput unlock, volume you could handle without new headcount

A worked example

A legal firm reviews 200 contracts per month at ~50 minutes each. Cut review to ~12 minutes and the monthly labour saving alone often pays back a mid five-figure build in a few months, before you count growth unlocked by removing the bottleneck.

Throughput unlock is usually the biggest lever and the hardest to quantify. Removing a bottleneck is not only cheaper ops, it is capacity for more revenue.

Business charts on a laptop screen
Put numbers on hours, errors, and throughput before you write code.

If you cannot sketch payback on a napkin, you are not ready to build. Fix the model first.

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