Thousands of documents, processed
Sometimes the problem isn't a workflow — it's a mountain. Years of statements to reconcile. A folder that grew for a decade and answers to nobody. A filing that requires every transaction accounted for, and there are thousands of them. Doing it by hand takes weeks of someone's life; not doing it isn't an option.
What gets built
The pattern is the same each time: an AI pipeline extracts and classifies the documents, structures what's in them, and produces something a human can actually review — an application, a clean dataset, a set of organized files. The AI does the volume; a person does the judgment.
A private investor needed thousands of trading transactions processed for tax reporting. I turned the raw statements into a reviewable application showing his full financial position — ready to present to the authorities.
A group preparing a court case needed a large body of documents processed into structured filings for the court and government offices. AI-assisted preparation cut the work to a fraction of what it would have cost in professional hours.
A legacy folder, restructured — a big, disordered document store reorganized automatically into a structure people can find things in.
What it changed
In the investor case: about 30 hours of AI-assisted work, where manual processing would have taken an estimated 250 hours. The review stayed human — the drudgery didn't.
FAQ
How do I know the output is right?
You review it — that's the design. The pipeline makes everything traceable back to the source document, so checking is fast. AI does the volume; you (or your fiduciaire, or your lawyer) sign off.
Our documents are scans, some handwritten, all messy. Does that work?
Messy is the normal case. PDFs, scans, statements in mixed formats — the extraction handles what it can with confidence and flags what it can't, instead of guessing silently.
This is sensitive material. Where does it go?
Processed under business/API terms, with the output stored in your systems. For court or tax material I'll walk you through exactly what touches which provider before anything runs.
Is this a one-off or something we keep?
Either. A one-time mountain is a fixed-scope job. If documents keep arriving, the same pipeline becomes a standing automation — that's the mail use case.
If there's a folder — or a filing — you've been putting off because of its size, that's the call to book.
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