These aren't projections — they're deployments. The results below come from real automations we've built for service businesses across the country. Every number reflects revenue recovered, time reclaimed, or leads that would have otherwise gone to a competitor. We build systems that work while you're focused on running your business.
Lumina Aesthetics was running a full-service med spa in Nashville with consistent inbound demand — but hemorrhaging revenue through two invisible leaks. No-shows were costing the business an estimated $8,000 per month in forfeited chair time, and the team was spending over four hours daily manually chasing new leads via phone and email. After-hours inquiries — submitted through the website when the front desk was closed — sat unanswered until the following morning, by which point many prospects had already booked elsewhere. The problem wasn't demand. It was follow-through.
“We knew we had a no-show problem, but I didn't realize how much we were losing after hours until we saw the numbers. Within the first month, we recovered more than we spent on the entire system.”
Slade & Partners was running a competitive personal injury practice in Cincinnati — but their intake process was losing cases before an attorney ever picked up the phone. When a prospective client submitted a form, they waited an average of four hours for a callback. In some cases, the delay stretched to 48 hours. Personal injury leads have a short decision window: the first firm to make contact closes the case. Slade's competitors had already figured this out. The firm estimated it was losing approximately four qualified cases per month to faster-responding firms — a gap that translated directly to lost contingency fees and compounding revenue loss.
“Speed-to-lead is everything in personal injury. We were losing cases we never even knew we were competing for. That changed in the first week after go-live.”
The owner of Summit Comfort was personally handling bookings — and it was consuming his business. Three hours per day went to fielding calls, returning voicemails, and scheduling jobs. Evenings and weekends were the most in-demand windows for HVAC service, and they were also the windows when no one was available to answer. Calls went to voicemail. Homeowners moved on. The revenue impact was invisible in the day-to-day, but real: an entire channel of demand was sitting uncontacted until Monday morning, by which point competitors had already dispatched a technician.
“I was basically working a part-time job just to answer the phone. Now my evenings are mine again, and we're booking jobs I used to miss completely. The system paid for itself inside 60 days.”
All case study data reflects results from live Axiom AI deployments. Business names are representative. Results may vary based on business size, market, and implementation scope.
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