Case study | Heating and cooling | Barrie, Ontario

Built for the calls that come in after you close.

A heating and cooling company in Barrie. The office closes in the afternoon. The furnaces and air conditioners don't. In one month, 22 of 29 real calls came in after close. The AI answered every one.

One month at a glance
7 of 8customer calls came in after the office closed
76%came in after the office closed
100%of customer calls captured and emailed to the team
5fixes shipped, each from a real call
August 21 to September 20, 2026

Then we ran a real month.

29

real calls in one month. Every one answered. Every customer captured.

When the calls came in

22 of 29 calls landed after close. Weekday evenings and two Saturdays.

What the 29 calls were

  • Hang-ups, nobody spoke16
  • Real conversations11
  • Robocalls shut down2

9 of the 11 conversations ended with details captured and emailed to the team.

Two separate periods

Same pattern.

Leads that came in after close

8 of 9

in the first 20 days.

7 of 8

in the next full month.

Emergencies

2

in the first 20 days. Both after hours.

Both flagged and sent to the owner within a minute.

Straight answers

Common questions.

Can an AI receptionist handle heating and cooling emergencies?

Yes. It recognizes urgent calls like no heat or water leaking from a unit, and routes them to the people you choose right away. In its first 20 days, 2 emergencies came in after hours. Both were flagged and sent to the owner within a minute.

Does it replace the office?

No. During office hours the team keeps answering. The AI picks up when they're tied up, and after the office closes.

What happens to calls that hang up?

Every one is logged. This month most were automated dialers, and three real customers called back on their own. If that changes in heating season, the numbers will show it.

Heating season

The no-heat calls start soon. Who's answering yours?

Let's look at what your phones are doing after you close.