AI data analytics for builders.
The version of AI data analytics that building companies still use a year after launch.
Records of Building Work, photos and variations organised as the job runs, ready for the code compliance certificate.
What AI data analytics actually do
Stop digging through dashboards. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
Small team.
Real systems.
Zero fluff.
What you get
If we build the right slice first, building companies feel the difference inside the first month.
- Natural-language queries over your Xero, Shopify, CRM data
- Weekly auto-summaries delivered to inbox or Slack
- Anomaly detection - flags weird weeks before you notice
- Forecasts that explain themselves, not black boxes
- No AI theatre
- No annual contracts
From one-person trades to national organisations, we find the hours :)
Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
What years of building for building companies taught us.
Builders run multiple sites at once, and the paperwork behind each one grows faster than anyone has time to manage.
Variations, supplier orders, and client updates are the admin layer that determines whether a build stays on schedule.
Straight answers
Can you work with our existing systems?
Yes. The default AI data analytics stack we reach for is DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
What's the realistic outcome for building companies?
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.
What happens when the Holidays Act is replaced?
The Employment Leave Act 2026 replaces it on 6 August 2028. Until then payroll follows the current Holidays Act, so leave calculations need to handle today's rules and the changeover.
Will quotes and invoices show GST properly?
Yes. GST is 15 per cent on most goods and services in New Zealand, and anything we build that prices work shows it the way your accounts need.
Let's chat
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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