How do I measure the ROI of AI in my business?

The honest answer to “is the AI working” is a number, not a feeling. And to get that number you have to do one slightly boring thing first: write down where you started. If you skip the baseline, you’ll never be able to prove the result.

Step one: capture a baseline (before you turn anything on)

Before the AI goes live, spend a week or two recording the current state of whatever you’re about to automate:

• How many calls or enquiries are you missing?
• How long does the task take today, in hours per week?
• How many leads go unanswered or slow?
• What’s your current response time?

This is the part everyone wants to skip and the part that makes everything else measurable. Without the “before”, the “after” is just a vibe.

The honest metrics that actually matter

Once it’s running, a handful of metrics tell you whether AI is earning its keep:

• Hours saved per week. The most direct measure for any task that used to eat time.
• Calls answered and appointments booked. For anything customer-facing, this is the headline number.
• Leads followed up. Enquiries that used to slip through and now don’t.
• Response time. How fast a customer hears back now versus before.
• Revenue protected. The value of enquiries you no longer miss.

You don’t need all of them. Pick the one or two that match the task and track those properly rather than drowning in a dashboard.

Turning it into dollars

Two calculations cover most cases.

Time saved into money. Multiply hours saved each week by what that hour actually costs, loaded with on-costs for staff, or your effective rate for your own time. Five hours a week at $40 loaded is about $800 a month of recovered capacity. The honest caveat: saved time only counts if it’s redeployed into something useful.

Revenue protected. Often the bigger number. If AI catches enquiries you used to miss, track how many now convert and multiply by your average job or order value. A trades business missing two callable jobs a week at $300 is leaking around $2,400 a month, and catching them pays for the AI many times over.

Then weigh both against the run cost. With builds from $497 and an AI Front Desk at $1,500 setup plus $199/month, the payback maths is usually not close once you’ve got the before-and-after in front of you.

The free tools to estimate and sense-check it

Two tools do the heavy lifting:

• The AI savings estimator gives you a quick AUD estimate of what automating a task is worth, useful for setting the target before you start.
• The AI readiness scorecard tells you whether your business is set up to get value from AI in the first place, so you’re not measuring a build that was never going to work.

The honest bottom line

AI is working if, after a baseline, you can point to real hours saved, enquiries caught, and revenue protected that more than cover what it costs to run. If you can’t show that, either the wrong thing was automated or it was never going to pay off, and we’d rather you find that out early.

That’s exactly what a free 30-minute audit is for: it works out the baseline numbers and the likely ROI before you spend a cent. And if it turns out you’re not there yet, we’ll tell you, because the worst ROI is on automation you didn’t need.