Your techs can't answer the phone on a job site. AI can. Stop sending 35-40% of your inbound calls to voicemail—and to your competitors. Deploy a natural-language AI answering system in 21 days.
This isn't a general-purpose chatbot. It's an intake system trained for plumbing company workflows—whether you run 5 techs or 100.
You're on the truck or running the business—not sitting by a phone. Every call you miss during peak hours is a $400–$1,200 job walking to the next Google result.
You have a CSR team, but call volume spikes at 7am and during emergencies. Overflow calls get dropped. Your ad spend is leaking through unanswered phones.
You're running multiple service areas, different phone numbers, and complex routing rules. Consistency and reporting matter as much as coverage.
Every call follows a structured workflow that captures the right information and routes it to the right place, automatically.
No hardware changes. Your Twilio-powered number (or a forwarded line) routes the call to the AI answering system. The AI picks up within 2 rings, 24 hours a day, 7 days a week—including holidays and 2am emergencies.
The AI introduces itself as your virtual assistant—not a robot menu. It speaks naturally, understands interruptions, handles accents, and can follow conversation threads. No "Press 1 for service" menus. It asks: what's the problem, where is the property, and how urgent is the situation.
The system collects your complete intake checklist: service type (repair, install, inspection, drain), property address, whether it's a current customer, urgency level, best callback time, and how they heard about you. All fields map directly to your CRM job record template.
Keywords like "flooding," "burst pipe," "no water," "sewage backup," and "gas smell" trigger immediate escalation. The AI dials your on-call rotation—and if the first tech doesn't answer within 60 seconds, it moves to the next. The customer stays on the line the entire time.
Non-urgent calls get a confirmed callback time and a job record created instantly in OpenClaw or ServiceTitan. Your dispatcher arrives in the morning to a fully populated queue—no transcription, no manual entry, no missing notes. A summary SMS goes to the on-call manager in real time.
Dynamic number insertion tracks which Google Ads campaign, organic keyword, or referral source drove each call. You see cost-per-lead by channel, not just total call volume. Know which $2k/month in ad spend is actually driving jobs.
This is a representative conversation. The script is fully customized to your company name, service area, and intake questions during setup.
The average plumbing company spends 30–40 hours per week on inbound call handling. Here's what disappears.
Every call answered within 2 rings, day or night, weekends and holidays. No more voicemail drops.
Job type, address, urgency, callback time, and source captured consistently on every single call.
Burst pipes, flooding, and sewage backups get an immediate warm transfer to your on-call tech rotation.
Fully populated job records created in OpenClaw or ServiceTitan—no manual entry, no transcription lag.
Automated confirmation text to the customer with appointment time, tech name, and service address.
CallRail ties each call to the exact ad campaign or keyword that drove it. Real cost-per-lead visibility.
Real-time SMS to your on-call manager for every new job record. No morning blind spots.
Intelligent escalation that tries tech #1, then #2, then #3 before defaulting to an emergency voicemail box.
If your company handles 100 calls/week and 35% go unanswered, that's 35 potential jobs—at an average ticket of $600, that's $21,000 walking out the door weekly. Let's close that gap in 21 days.
We don't ask you to replace your tools. We wire them together so they talk automatically.
Based on typical results across plumbing companies with 10–50 techs running 80–200 inbound calls/week.
Book a 30-minute call. We'll map your current call flow, show you exactly where leads are dropping, and walk you through what the AI would handle in your specific setup.