Data & AI skills

Extract company information, submitted identity-document references, and beneficial ownership data from onboarding packets.

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Extract campaign or business KPIs from report documents — metrics, values, periods, and targets.

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Extract structured fields from lohnsteuerbescheinigung documents.

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Extract structured fields from modello 730 documents.

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Extract structured fields from jpk vat documents.

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Extract structured fields from i-9 documents.

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Extract shipment details, item quantities, and delivery confirmation data from warehouse delivery notes and goods received notes.

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Extract employee, trip, expense lines, VAT, totals, and approvals from French expense claims.

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Extract proof-of-delivery number, recipient, delivery time, items, exceptions, and signature status from delivery receipts.

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Extract structured fields from pit 37 documents.

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Extract structured fields from modello f24 documents.

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Extract structured fields from ksef faktura documents.

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Extract structured fields from p11d documents.

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Extract structured fields from pit 11 documents.

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Extract employee, department, expense lines, tax, totals, and approval fields from Japanese expense settlement forms.

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Extract shipper, consignee, order references, carton lines, weights, and package totals from packing lists.

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Extract structured fields from credit card statements documents.

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Extract structured fields from 1099-misc documents.

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Extract structured fields from bill of lading documents.

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Extract structured fields from customer invoice documents.

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Extract structured fields from ct600 documents.

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Extract structured fields from credit invoice documents.

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Extract case numbers, parties, filing dates, court details, and relief sought from court filing documents and legal pleadings.

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Extract parties, dates, and clauses from a contract into structured JSON for legal review workflows.

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