How to Think About AI ROI: A Framework for Small Business Owners

When business owners ask me whether AI is worth it, the honest answer is: it depends on what you’re automating. Not all AI investments return the same value. Here’s the framework I use to think through it.

Step 1: Quantify the Time Being Spent

Pick a specific task — scheduling follow-up emails, entering data into your CRM, writing proposals. How many hours per week does your team spend on it? Multiply by your effective hourly cost (salary + overhead). That’s your baseline.

Step 2: Estimate the Automation Coverage

AI rarely handles 100% of a workflow. A realistic target is 70–80% automation — with humans reviewing exceptions. If your team spends 10 hours/week on a task and AI handles 75% of it, you’re reclaiming 7.5 hours per week.

Step 3: Add the Revenue Upside (If Applicable)

Some automations don’t just save time — they improve outcomes. Faster lead follow-up increases conversion. Consistent post-visit check-ins improve retention. Better proposal turnaround wins more deals. Estimate the revenue impact conservatively and add it to the return.

Step 4: Compare to the Setup Cost

A typical automation project for a small business costs $1,500–$5,000 to build and runs with minimal maintenance. If you’re saving $500/week in staff time, the payback period is 3–10 weeks. That’s a strong business case — even before counting revenue upside.

Want help running this calculation for your business? Let’s start with a free call.