AI call coverage for HVAC + plumbing
I build after-hours and overflow AI receptionists that answer inbound calls, qualify the job, book the right next step, and escalate emergencies—before a paid lead calls the next contractor.
20 minutes to map your missed-call window, handoff needs, and whether a pilot makes sense. Estimates are fine; no call logs needed to start.
Coverage
After-hours + overflow
Outcome
Qualified, booked, or escalated
Best fit
5–50 tech service teams
55%
of home-services callers in Invoca's benchmark spoke with a person.
Invoca · 60M+ calls analyzed ↗$90.92
was the 2025 average paid-search cost per home-improvement lead.
WordStream · 2025 benchmarks ↗Selected outcomes
Client work · Voice AI
Full-stack work across conversational workflows, LiveKit voice agents, tool calling, knowledge retrieval, and SIP telephony.
Contributed agent workflows and integrations to Voho’s white-label call-center platform for sales, recruiting, reception, and support.
See the evidence and scope ↗This is not a generic chatbot package. It is a narrow call-handling system for the moments when dispatch cannot answer fast enough.
The agent answers with your approved greeting, identifies the service needed, checks the service area, and captures the job while intent is still high.
Overflow calls get handled instead of queued indefinitely. Your team receives the summary and the next action without replaying voicemail.
Approved rules detect urgent language, avoid diagnosis, and transfer or alert the on-call person when the situation meets your escalation policy.
The agent checks postcode, ZIP code, or town before a dispatcher spends time qualifying a lead the business cannot serve.
02 / 30-day pilot
A controlled pilot gives you a real answer before a broader rollout. We measure bookings and failures—not just whether the voice sounds human.
Pilot investment
From $1,500
Final scope depends on call volume, telephony, integrations, and dispatch rules. Usage charges are disclosed before launch.
Included
The HVAC demo shows the interaction pattern: natural intake, structured qualification, tool use, and a clear next step. It is a concept environment—not a fabricated client case study.
Play the caller. Ask about a repair, describe an urgent situation, interrupt, change details, or request a person.
The call is only one part of the build. Qualification, scheduling, escalation, summaries, and review have to work together.
Capture name, callback number, address, system or fixture, the problem, urgency, and any details your dispatcher normally asks for.
Book a slot when rules allow, request a preferred window, or create a callback task when a person needs to confirm availability.
Transfer defined emergencies and sensitive calls. The agent stops where your policy says human judgment must begin.
Send the transcript, concise summary, qualification answers, disposition, and follow-up action to the system your team already checks.
If your existing software already answers calls, handles your service area, and creates the records your team needs, start by evaluating that option. A custom build should solve a specific gap.
My work is useful when call handling needs to connect multiple systems, follow specific escalation rules, or fit a workflow that a standard setup does not cover. The audit identifies that gap before we scope a pilot.
05 / Fit check
The economics are strongest when your company already generates valuable inbound demand and has a repeatable dispatch process.
You run paid search or Local Services Ads
Calls regularly reach voicemail or a long hold queue
You have at least five field technicians or meaningful call volume
Your team follows a repeatable intake and dispatch process
A recovered service call is worth materially more than the pilot cost
The pilot stays narrow enough to test safely and broadens only when real calls show that it should.
01
We identify when calls go unanswered, which call types are valuable, and how your team currently books or escalates them.
02
The pilot starts with after-hours or overflow—not every possible conversation—so the workflow stays testable and measurable.
03
We test poor audio, interruptions, vague requests, unsupported areas, frustrated callers, emergencies, and human handoff before launch.
04
We inspect bookings, transfers, hangups, failed calls, repeat calls, and staff feedback, then tune the agent around what actually happened.
A buyer should know the limits, integration assumptions, and handoff policy before live callers ever reach the system.
The first pilot is designed as after-hours or overflow coverage. It handles repeatable intake and gives dispatchers structured information while leaving judgment-heavy calls to people.
The exact connection depends on your account, API access, and workflow. During the audit, I verify the safest supported integration before promising direct booking. A structured callback task is the fallback when direct scheduling is not appropriate.
The agent follows your approved safety language, avoids diagnosis, and transfers or alerts the designated human according to explicit rules. Emergency scenarios are tested before live traffic is enabled.
No responsible system can guarantee revenue before seeing your call volume and close rate. The pilot measures recovered calls, qualified opportunities, booked jobs, transfers, failures, and estimated value so you can judge the economics from your own data.
08 / Start with the leak
We will map when calls are missed, what a qualified job looks like, which situations need a person, and whether a 30-day pilot has a credible payback path.
Book the 20-minute auditNo call data yet? Bring your weekly call estimate, business hours, average ticket, and current answering process.