Compliance document classification
Inbound documents — invoices, contracts, KYC packets, regulatory filings — sorted, extracted, and routed by AI within seconds of arriving.
Banks, insurers, and law firms still pay armies of analysts to open emails, classify attachments, and rekey fields into systems. The work is mind-numbing, error-prone, and slow.
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Built an inbound document pipeline: classifier picks the document type, extractor pulls fields, validator checks against rules.
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Trained on the customer's own historical documents — generic models don't know what 'final draft' looks like in your firm.
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Designed the human-in-the-loop UI for the cases the model isn't confident on: clear context, single decision per screen, learning feedback.
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Implemented audit logging at every stage — model version, confidence, who reviewed what — so regulators see a clear record.
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Wired downstream system integration so a classified-and-extracted document lands in the right system automatically.
“Compliance shops shouldn't need armies to retype attachments. We build the system that ends that.”
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Analysts handle the hard cases; the routine 70% is automated.
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Document-to-system latency drops from days to minutes.
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Compliance audit becomes a query, not an exercise.
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New document types onboard in days, not months.
Want something like this in your business? Start with a discovery call.