Trade AI Playbook

Phoenix HVAC office hands calls it can't pick up in 3 rings to an AI agent

Precision Air · Phoenix, AZ, US ·

What they did

In peak summer season Precision Air received 80–100 calls a day and its 3-person office could handle about 60; the rest went to voicemail. Rather than hire for a 3-month surge, it deployed Revenue Squared AI on overflow calls (anything not picked up within 3 rings), trained on its services, pricing ranges and scheduling availability.

Reported results

  • In 30 days (vendor-reported): 47 additional jobs booked, $38,000 in revenue attributed to AI-answered calls, and an average booking time of 4 minutes per call

Tools

Revenue Squared AI

Cost

Not disclosed

Source

Revenue Squared AI: https://revsquared.ai/blog/hvac-contractor-ai-case-study

Vendor case study (results reported by the vendor). Source checked 2026-10-20. Results are as reported by the source, not independently audited.

Try it yourself: starter prompt

Our suggested prompt for an AI assistant (ChatGPT, Claude, Grok or your phone-agent tool). It is not from the source.

You are the phone assistant for an HVAC company. When the owner can't answer, greet the caller, get their name, callback number, address and what's wrong, ask how urgent it is (emergency today vs. this week), and tell them the owner will call back within 15 minutes. Never quote a price or promise a time. Then text the owner a 3-line summary.

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