"Who's the woman calling you?"
I built an AI voice agent to call, follow up and qualify enquiries for a client. His wife asked who the woman was that kept calling his phone. It was his AI assistant.
Results
AI work should end in something you can measure.
I only publish a result when the client has agreed and the numbers can be checked. Until full case studies are signed off, here are two stories from systems I've built, with names kept private.
Client stories
One text, three jobs done.
A contractor now sends one text when a job is finished. The invoice, the review request and the referral request all go out on their own.
How results get measured
Before and after, in your own numbers.
Every audit records where you start, so the change can be shown honestly later.
- How long a new enquiry waits for a reply
- How many enquiries get followed up, and for how long
- Hours a week spent on admin that repeats
- What you pay for tools, and which ones get used
- How many decisions still need the owner
Want to know what I'd find inside your business?
Start with the AI Readiness Scorecard, then we can decide whether a deeper audit is worth it.
Take the scorecard