Electrical contractors · Applied AI

Ask your data in English, built around how a electrical contractor actually works.

There is a version of AI data analytics that electrical contractors 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

Field notes

What years of building for electrical contractors taught us.

  • Electricians juggle callouts, compliance certificates, and quoting, usually from the front seat of a van.
  • Certificates of compliance and quote turnaround are where electrical businesses either look professional or lose the job.
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How we build AI data analytics for electrical contractors.

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

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The outcome for electrical contractors

Owners check the business in 2 minutes instead of 2 hours. For electrical contractors, 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

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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 electrical contractors?

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

What's the realistic outcome for electrical contractors?

Owners check the business in 2 minutes instead of 2 hours. We don't promise tenfold lifts because we don't see them outside of marketing decks.

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.