California · Applied AI
AI document processing in San Francisco
AI for paperwork – wired into a San Francisco workflow, not bolted on the side.
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.
The reason we take on work in San Francisco is that the businesses here tend to be sharper about what they want than the brief lets on. AI document processing for a San Francisco team almost always ends up looking different to AI document processing for a downtown Auckland one.
- 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
Why San Francisco businesses choose this
San Francisco is where the AI industry itself is headquartered – any AI pitched here is judged against the frontier labs a few blocks away, not against a competitor's landing page.
Our field notes from San Francisco builds.
The highest concentration of AI research labs and startups anywhere in the world, sitting alongside legacy finance and professional services firms adopting AI for the first time. San Francisco is the least forgiving market for a weak AI product, and the best one for a genuinely strong one.
We work with teams across San Francisco: Financial District · SoMa · Mission District · Marina · Nob Hill · Hayes Valley.
How we build AI document processing for a San Francisco team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your San Francisco business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI for paperwork.
The outcome for San Francisco teams
What changes for San Francisco teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
Cuts data-entry labour by 80% on invoices, POs, and timesheets.
AI document processing in San Francisco – common questions
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for San Francisco businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
What tools do you build AI document processing on?
For AI document processing we usually reach for Claude Vision, AWS Textract, Mistral OCR, Vercel. We're tool-agnostic at heart – we pick what your San Francisco team can actually run after we hand the build over, not what looks good on a vendor sticker.
Sketch this with us.
We'll map your real workflow before quoting anything.
Get in touch
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.