AI document processing that lives in your stack, not on a vendor's roadmap. Shipped from Texas.

Our goal is to give San Antonio businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The reason we take on work in San Antonio is that the businesses here tend to be sharper about what they want than the brief lets on. AI document processing for a San Antonio team almost always ends up looking different to AI document processing for a downtown Auckland one.

What AI document processing actually does

Scanned invoices, signed contracts, handwritten timesheets, PDF specs - extracted into clean data and routed where they belong. No more typing what someone already wrote.

  • 01 Vision models read scans, photos, and handwriting
  • 02 Pushes structured data into Xero, your CRM, or sheets
  • 03 Confidence flags route low-certainty docs to a human
  • 04 Handles te reo, bilingual forms, and old NZ templates

Built on: Claude Vision AWS Textract Mistral OCR Vercel

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI document processing compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The pattern across San Antonio engagements we've shipped.

  • San Antonio runs on military, healthcare and cybersecurity, with a cost base well under Austin's - AI here means real capability without Austin or Dallas pricing.
  • A huge military and defence presence, a growing cybersecurity cluster, and a healthcare sector serving a wide South Texas region. San Antonio businesses want the same AI capability as the bigger Texas cities at a regional price.

We work with teams across San Antonio: Downtown · Alamo Heights · Stone Oak · Medical Center · Southtown · The Pearl.

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How we build AI document processing for a San Antonio team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your San Antonio business, so value lands before the build is finished. AI for paperwork.

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How the work runs

The outcome for San Antonio teams

The shape of the result for San Antonio teams: 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.

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.

FAQ

What's the realistic timeline for AI document processing with a San Antonio?

Most San Antonio businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI document processing cost for a San Antonio?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Has this actually shipped for a real San Antonio?

Yes. Cuts data-entry labour by 80% on invoices, POs, and timesheets. We'll share comparable engagements on the call.

What happens if we want to swap a vendor out later?

AI document processing is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude Vision, AWS Textract, Mistral OCR, Vercel are our defaults, but the build is intentionally portable.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

Talk to us about this

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