Kiwi Dynamics

Plumbing businesses · Applied AI

The version of AI data analytics that plumbing businesses still use a year after launch.

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There is a version of AI data analytics that plumbing businesses buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second one.

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

The honest read

Where most plumbing businesses engagements actually deliver value.

  • Plumbers lose jobs to whoever answers the phone first, and most calls come in while they're already under a sink.
  • Missed calls, slow quotes, and unchased invoices are the three leaks that cost plumbing businesses the most money.
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How we build AI data analytics for plumbing businesses.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a plumbing business business, so value lands before the build is finished. Ask your data in English.

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The outcome for plumbing businesses

The shape of the result for plumbing businesses: 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 plumbing businesses?

We aim for a working pilot inside 4-6 weeks – narrow scope, real plumbing businesses 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 plumbing businesses are surprised how small the first cheque is.

Anyone else in this space using AI data analytics?

Plenty. Owners check the business in 2 minutes instead of 2 hours. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope 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.

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