Intelligent Document Processing: Invoices, Contracts and Claims on Autopilot

The Retyping Economy

Accounts payable retypes invoices into the ERP. Claims handlers retype loss details from PDFs. Legal ops copies key terms from contracts into a tracker. Onboarding teams re-key details from certificates and proofs of address. Across a mid-sized organisation, this quietly consumes thousands of skilled hours a year — and introduces the transcription errors that reconciliation then exists to catch.

Document AI in 2026 reads these documents with accuracy that exceeds tired humans on a Friday afternoon: multimodal models handle scans, photos of paper, tables, handwriting annotations and 40-page contracts without templates. The technology is no longer the hard part. The architecture around it is.

Extraction Is 30% of the System

Every failed document project we've been asked to rescue made the same mistake: they built extraction and shipped it. The production system is extraction plus three layers most demos skip:

• Validation against reality. An extracted invoice isn't data — it's a claim. Check it: does the PO exist and match? Is the supplier's bank account the one on file (the single most important fraud control in AP)? Do line items sum to the total? Does VAT calculate correctly? Cross-checks against your systems catch both model errors and fraud.
• Confidence-routed workflow. Every field carries a confidence score. High-confidence documents that pass validation flow straight through; anything below threshold routes to a human review screen showing the document and the extraction side-by-side, with one-click corrections. Humans handle exceptions, not volume.
• The feedback loop. Every human correction is training signal. Systems that log corrections improve monthly; systems that don't, plateau on day one.

Aim for 100% automation and you'll ship something dangerous. Aim for 85% straight-through with immaculate exception handling, and you'll hit 95% within two quarters — safely.

What Good Looks Like, by Document Type

• Supplier invoices: 90-97% field accuracy, 80-90% straight-through to ERP posting after validation. Typical result: AP processing cost down 70-85%, early-payment discounts actually captured.
• Contracts: extraction of parties, dates, renewal terms, liability caps and non-standard clauses into a searchable register — with auto-renewal traps flagged 90 days out. Most clients discover renewals they didn't know they were paying for; the register often funds the project (see our SaaS sprawl guide).
• Claims packs: classification of mixed submissions (forms, photos, reports), extraction, coverage pre-checks and reserve suggestions — cutting first-touch time from days to minutes while leaving decisions with handlers.
• KYC documents: covered in depth in our onboarding automation guide — the same architecture with identity-specific verification layers.

Integration Is the Finish Line

A document pipeline that ends in a spreadsheet has just moved the retyping. Production means posting into the systems of record — ERP, claims platform, CRM, DMS — with idempotent writes, full document-to-transaction traceability, and originals archived against retention policy. Intake matters too: a monitored inbox, a supplier portal, or both, with automatic acknowledgement so senders stop phoning to check.

Delivery Shape

A production pipeline for one document family — intake, extraction, validation, review UI, ERP integration, audit trail — is typically a 4-8 week fixed-price build. We benchmark on your documents in week 1 and quote against a measured straight-through rate, not a vendor brochure number.