How to Calculate the ROI of AI Automation Before You Build Anything
One of the most common reasons businesses delay automation is a lack of confidence in the numbers. Is this going to pay off? How long until we see a return? This framework answers both questions - before you spend a single pound or hire anyone to build anything.
Step 1 - Map the Time Cost
For each process you are considering automating, calculate:
Weekly cost = Hours × People × Hourly rate
Step 2 - Estimate Automation Coverage
Automation rarely replaces 100% of a task. A realistic figure for most workflows is 70-90% - meaning the system handles the bulk of the work, and a human handles exceptions. Use 75% as a conservative baseline unless you have reason to expect higher coverage.
Annual saving = Weekly cost × 52 × Automation coverage %
Step 3 - Add Revenue Impact
For revenue-generating workflows (lead qualification, follow-up sequences, onboarding), automation also impacts conversion rates and speed. A 10% improvement in lead response time typically produces a 20-30% improvement in conversion rate. Estimate conservatively and add this to your calculation.
Step 4 - Calculate Payback Period
Payback period (months) = Implementation cost ÷ (Monthly saving + Monthly revenue uplift)
For most of the workflows we build, payback periods fall between 6 and 16 weeks. That is before accounting for the compounding effect of stacked automations.
"The numbers are almost always better than people expect. The barrier to automation is rarely economic - it is a lack of clarity about where to start."
Want Us to Run the Numbers with You?
In our free audit call, we walk through this exact framework for your specific processes - with your numbers, your tools, and your team structure. You leave with a clear ROI projection and a prioritised implementation plan, at no cost.
