Massachusetts · Applied AI
AI document processing in Boston
AI document processing that lives in your stack, not on a vendor's roadmap. Shipped from Massachusetts.
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.
Boston businesses don't need another generic AI pitch. AI document processing only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Massachusetts.
- 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 Boston businesses choose this
Boston runs on biotech, higher education and finance, with more PhDs per capita than almost anywhere in the country – AI here has to earn trust from a genuinely technical audience.
The pattern across Boston engagements we've shipped.
A world-leading biotech and pharma cluster, a huge concentration of universities and hospitals, and a mature financial services industry. Boston businesses expect AI claims to be backed by something more rigorous than a demo.
We work with teams across Boston: Back Bay · Cambridge · Seaport · Somerville · South End · Kendall Square.
How we build AI document processing for a Boston team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Boston 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 Boston teams
Cuts data-entry labour by 80% on invoices, POs, and timesheets. For Boston teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Cuts data-entry labour by 80% on invoices, POs, and timesheets.
AI document processing in Boston – common questions
What's the realistic timeline for AI document processing with a Boston?
Most Boston 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 Boston?
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.
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 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.
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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.