AI document processing for builders.
AI for paperwork, built around how a building company actually works.
On the tools or running at scale, the admin still eats the week :)
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.
Records of Building Work, photos and variations organised as the job runs, ready for the code compliance certificate.
Where most building companies engagements actually deliver value.
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.
What AI document processing actually does
Scanned invoices, signed contracts, handwritten timesheets, PDF specs - extracted into clean data and routed where they belong. 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.
How much is the admin really costing 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.
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
The shape of the result for building companies: Cuts data-entry labour by 80% on invoices, POs, and timesheets. Built on Claude Vision, hardened with the rest of the stack as it scales. Kiwi Dynamics
Questions building companies ask
Anyone else in this space using AI document processing?
Plenty. Cuts data-entry labour by 80% on invoices, POs, and timesheets. 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.
What's a typical engagement length for building companies?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Can you work with our existing systems?
Yes. The default AI document processing stack we reach for is Claude Vision, AWS Textract, Mistral OCR, Vercel, 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.
Do you work with Xero?
Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.
Is our data kept in New Zealand?
Kiwi Dynamics hosts its own infrastructure in New Zealand, under New Zealand governance. If personal information ever has to go offshore, privacy principle 12 requires comparable protection.
Talk to us about AI document processing
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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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