Abandoned and missed calls on peak days
The direct leak. Pull last season's numbers from your phone system first.
The first heat wave of summer and the first hard freeze of fall are when HVAC companies make their year, and when they miss the most calls. CSRs are on the line, the voicemail box fills, and homeowners with a dead furnace or a frozen coil call the next company on Google until someone answers.
An AI-assisted call answering setup picks up overflow and after-hours calls, asks the questions your CSRs would ask, checks membership status and books from real availability in ServiceTitan or Housecall Pro. It escalates emergencies, such as no heat with elderly occupants or any mention of a gas smell, to the on-call technician or a person straight away. CSRs keep the complex and upset callers.
Define which calls can be booked automatically, such as tune-ups and standard no-cool service, and which always go to a person, such as gas smells, carbon monoxide alarms or commercial rooftop units.
The assistant picks up when CSRs are busy or the office is closed, confirms address and contact details, asks about symptoms and equipment, and checks whether the caller is a member.
Routine calls are booked into open slots in ServiceTitan, Housecall Pro or FieldEdge, with members prioritized according to your agreement terms and the job summary attached.
No-heat calls with vulnerable occupants and any safety concerns trigger an immediate text or call to the on-call technician, and the caller is told what to do in the meantime.
The CSR lead reviews AI-handled calls each morning during the first weeks, fixes bookings and refines questions where callers got confused.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
The direct leak. Pull last season's numbers from your phone system first.
The share of service calls that become booked jobs, AI-handled and CSR-handled.
Shows whether faster booking is capturing work that used to leak.
How often dispatch has to fix an AI booking, which decides how much to trust it.
For example, on the first 95-degree Monday of June a 20-truck Denver contractor receives far more calls than its four CSRs can take. Overflow calls go to the assistant, which books routine no-cool calls into open afternoon slots, prioritizes members and texts the dispatcher about two elderly homeowners with no cooling. The CSR lead reviews the bookings at lunch and moves three to better-matched technicians. This scenario is illustrative, not a measured result.
In the first 30 days, ideally in spring or fall, we would pull a year of call data, measure missed calls and booking rate by week, listen to a sample of calls with your CSR lead and draft call-type rules and escalation paths for your approval.
Some will, which is why callers should always have an easy way to reach a person or leave a message. Many callers with a broken system care more about getting a time slot than about who books it, but that varies by market. We would test it against your own call data.
It can mention your agreement and its benefits in approved wording, for example priority scheduling. We would keep it light. Pushy upselling on an emergency call tends to backfire, and the technician on site is usually the better person to explain membership value.
It can take messages and create tickets for commercial accounts, but most contractors prefer that commercial calls reach a person quickly because of service-level commitments. We would set rules that route known commercial accounts directly to dispatch.
Illustrative defaults for a HVAC company. Replace them with your numbers.
a month in staff time, before any lost sales
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
AI intake and call answering: full guide
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.