Kiwi Dynamics

HVAC companies · Applied AI

The version of AI data analytics that HVAC companies still use a year after launch.

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When a HVAC company asks us about AI data analytics, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.

What AI data analytics actually does

Stop digging through dashboards. Ask plain-English questions of your sales, jobs, and customer data – get charts, summaries, and the why behind the numbers in seconds.

  • 01 Natural-language queries over your Xero, Shopify, CRM data
  • 02 Weekly auto-summaries delivered to inbox or Slack
  • 03 Anomaly detection – flags weird weeks before you notice
  • 04 Forecasts that explain themselves, not black boxes

Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK

Field notes

What years of building for HVAC companies taught us.

  • 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.
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How we build AI data analytics 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. Ask your data in English.

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The outcome for HVAC companies

The shape of the result for HVAC companies: Owners check the business in 2 minutes instead of 2 hours. Built on DuckDB, hardened with the rest of the stack as it scales.

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

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

How long does AI data analytics take to ship for HVAC companies?

We aim for a working pilot inside 4-6 weeks – narrow scope, real HVAC companies data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

How do you price AI data analytics engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most HVAC companies are surprised how small the first cheque is.

Has this actually shipped for a real HVAC company?

Yes. Owners check the business in 2 minutes instead of 2 hours. We'll share comparable engagements on the call.

Who owns the code and the model setup?

You do, on delivery. We deploy AI data analytics into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. DuckDB sits in your account too – we don't operate it from ours.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.