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azeem@buildsenseai.co

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How to Calculate the ROI of AI Automation Before You Build Anything

10 February 20269 min readBuildSense AI Team

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:

Hours per week spent on this task
Number of people involved
Average fully-loaded hourly cost per person

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."

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