Most HVAC companies we talk to aren't short of dashboards or tools – they're short of an hour back in the week. That's the lens we put on AI customer growth: not a tech showcase, but a careful look at the one or two workflows where a HVAC company is paying for the same problem to be solved twice.
HVAC companies · Applied AI
Built for the HVAC company who's already tried the off-the-shelf option and bounced off it.
What AI customer growth actually does
A done-for-you AI growth engine that runs the full top-of-funnel motion – lookalike prospecting, multi-channel outreach, qualification, and meeting booking – and hands warm conversations to your closers. The 'just get me more customers' button, run by an AI agent.
- 01 Defines your ideal customer profile from your existing best accounts
- 02 Builds and refreshes prospect lists weekly
- 03 Owns first contact through to booked meeting
- 04 Reports weekly on what's working – and stops what isn't
Built on: Claude + GPT-4 orchestration Apollo / Clay / LinkedIn Sales Navigator HubSpot or your existing CRM Custom dashboards in Retool
Without Kiwi Dynamics
With Kiwi Dynamics
Sector context
Where HVAC companies actually lose hours and dollars.
- Heating and cooling businesses run on seasonal call volume that spikes exactly when the team is already stretched.
- Scheduling, callout triage, and maintenance reminders are what separate a booked-out HVAC business from a quiet one.
How we build AI customer growth for HVAC companies.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a HVAC company business, so value lands before the build is finished. Get me more customers.
Talk to usThe outcome for HVAC companies
Doubled an NZ professional services firm's qualified pipeline in 90 days – no new headcount. For HVAC companies, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have AI customer growth in production?
Eight to ten weeks for most HVAC companies. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for HVAC companies that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
What's the realistic outcome for HVAC companies?
Doubled an NZ professional services firm's qualified pipeline in 90 days – no new headcount. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What if our HVAC company doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI customer growth specifically, we typically run that work on Claude + GPT-4 orchestration, Apollo / Clay / LinkedIn Sales Navigator, HubSpot or your existing CRM, Custom dashboards in Retool and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.