AI document processing that reads, classifies, and extracts structured data from invoices, contracts, claims, and correspondence, with full audit trails and human-in-the-loop quality review. Part of our AI workflow automation service. Start with a document processing assessment.
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We sought AI engineering experts that could quickly learn our day-to-day scientific legal mapping processes enough to develop a tool to make our work more efficient. Winder.AI dug into our day-to-day workflow to thoroughly understand the value of an AI Assistant for scientific legal mapping.
Every business runs on documents. Invoices, contracts, claims, applications, correspondence. They arrive in different formats, from different sources, and someone has to read each one, extract the data, and route it to the right place. That someone is usually your most expensive staff.
Documents arrive as PDFs, scanned images, emails, and photographs. No consistent format. No easy way to search, filter, or extract. Your data is locked inside files that only humans can read. That’s the bottleneck.
Your team copies data from documents into spreadsheets and systems by hand. Every copy introduces errors and delays. At 50 documents a day it’s manageable. At 500, it’s a full-time job that still falls behind.
You’ve tried Optical Character Recognition (OCR) tools. They read characters, but they don’t understand meaning. They break on tables, struggle with handwriting, and can’t classify or route documents. You need document intelligence, not character recognition.
AI document processing goes beyond scanning. Our document intelligence pipeline reads your documents, understands their content, extracts structured data, and triggers downstream actions, with human review where it matters.
We build and run AI document processing workflows for specific document types, not a generic one-size-fits-all tool. Each workflow is tuned to your documents, your fields, and your downstream systems.
Extract supplier name, invoice number, line items, totals, VAT, and payment terms from invoices in any format. Match against purchase orders automatically. Flag discrepancies for review. Whether it’s single-supplier invoices or complex multi-page purchase orders with nested line items, our AI invoice processing handles the variation that template-based tools cannot.
Classify contract type, extract key clauses (termination, liability, payment terms, renewal dates), and flag deviations from your standard terms. Built for law firms and in-house legal teams processing volume. Our AI contract review summarises each document so human reviewers focus on judgement, not data gathering.
Process insurance claims, grant applications, planning submissions, and any structured form with supporting attachments. Extract form fields, read supporting documents, classify the submission, and route to the right handler with priority scoring.
Read incoming emails and letters, classify intent (complaint, enquiry, request, instruction), extract key data points, and route to the correct team or workflow. Draft responses to routine correspondence with quality scoring before anything reaches a recipient. Turn your shared inbox from a bottleneck into an automated triage system.
Review regulatory filings, audit evidence, policy documents, and inspection reports against your compliance framework. Identify gaps, extract required data points, and generate exception reports. Reduce a three-day compliance document review to three hours with full traceability.
Extract data from research papers, technical specifications, lab reports, and engineering documents. Handle complex layouts with charts, tables, equations, and cross-references. We built document understanding AI for Temple University’s legal research team, processing scientific legal documents that no off-the-shelf tool could handle.
Document intelligence is not a better version of OCR. It's a different approach entirely. OCR reads characters. Document intelligence understands documents.
Reads characters from clean, typed documents. Works on fixed layouts where fields are always in the same position. Breaks on handwriting, tables, multi-page documents, and poor scans. Outputs raw text with no structure or meaning. Sufficient for high-volume, single-format documents with consistent quality.
Adds coordinate-based rules on top of OCR. Extracts specific fields from known positions. Works until a supplier changes their invoice layout or a new form version arrives. Every layout variation requires manual template updates. Better than raw OCR, but brittle at scale.
Understands document structure, not just characters. Identifies headers, tables, paragraphs, and signatures. Classifies document type. Extracts fields by meaning, not position, so a new supplier invoice works without template changes. Handles handwriting, poor scans, and multi-page layouts. Learns and improves. Learn more about document intelligence.
Most automation vendors demonstrate AI document processing on clean, simple PDFs. We build systems that handle the messy reality: poor scans, varied layouts, edge cases, and the thousand small exceptions that make document processing hard.
We specialise in AI document processing, contract review, and invoice automation. Accuracy, audit trails, and getting it right are what matter here. We’ve delivered document intelligence systems for Ofcom and built legal document automation for Temple University. This is what we do every day.
Most agencies build your document processing pipeline and walk away. We monitor extraction accuracy, catch failures before you notice them, and improve the system month over month, with SLAs, human quality review, and incident response. Part of our AI workflow automation managed service.
No juniors, no handoffs. Every engagement is delivered by Phil Winder, PhD, author of the O’Reilly book on Reinforcement Learning, with over 12 years building production AI systems for organisations including Google, Microsoft, and Shell.
Document-heavy workflows exist in every industry. We specialise in the sectors where accuracy, compliance, and audit trails matter most.
AI contract review, clause extraction, matter intake, and compliance monitoring. Built for law firms and in-house legal teams that need to process volume without compromising on accuracy. Learn more about AI in legal.
AI invoice processing, payment reconciliation, expense classification, and regulatory reporting. We build document processing workflows that go from invoice OCR to full accounts payable automation, maintaining audit trails and routing exceptions to human handlers. Learn more about AI in financial services.
Proposal generation, client onboarding, timesheet processing, and operational reporting. Any business that runs on documents and email can benefit from intelligent document management that routes, extracts, and processes information automatically.
Resident correspondence, planning application processing, FOI request handling, and compliance reporting. We understand public sector procurement and the specific accountability requirements of government operations.
We've delivered AI document processing and intelligence systems for some of the world's most recognised organisations, and we bring the same engineering rigour to every engagement.
Case study
Winder.AI helped Apartment List modernize its machine learning operations by unifying data pipelines, automating Kubeflow workflows, and introducing enterprise-grade governance. The outcome: consistent training and inference data, faster deployment cycles, and self-service capabilities that enabled Apartment List’s data science team to scale model delivery with confidence.
Case study
Using digital twin data to build flight traffic simulators and train reinforcement learning AI agents. A leading aerospace business and Winder.AI opened new horizons for dynamic, data-driven scheduling solutions that integrate with our client’s advanced flight planning technology.
Case study
Leveraging predictive analytics and a stand-to-runway modelling approach, Winder.AI and our aviation client improved taxi time predictions to reduced ground delays and improve fuel efficiency.
AI
Every organisation runs on documents. Invoices, contracts, claims, applications, correspondence. They contain the data that drives decisions, triggers payments, and satisfies compliance requirements. The problem is that most of this data is trapped in unstructured formats that only humans can read.
Document intelligence changes that. It’s the AI capability that reads, understands, and extracts structured data from unstructured documents. It is rapidly replacing the manual data entry and basic scanning workflows that most businesses still rely on.
Ai
I recently migrated a production Python codebase to Go using Claude Code as the primary coding agent. The codebase was Kodit, an MCP server and CLI tool for indexing code repositories. It had a well-structured Python backend with a FastAPI server, SQLAlchemy ORM, Pydantic models, and a search pipeline combining BM25 and vector embeddings.
Talk
Building AI-powered applications is exciting, until you need to evaluate whether your model actually works. How do you test an AI system that gives different answers every time? How do you gather enough test data to be confident in your results? This one-hour practical webinar will transform you from uncertain to confident about AI evaluation.
Common questions about our AI document processing services. If your question isn't covered here, book a call and we'll answer it directly.
Almost anything. PDFs, scanned images, Word documents, emails, photographs of paper, handwritten notes, spreadsheets, and HTML. If a human can read it, AI document processing can extract structured data from it. We handle invoices, contracts, claims, correspondence, compliance filings, application forms, and technical reports.
Accuracy depends on document type, quality, and complexity. We measure it for every workflow we build and report it transparently. The real difference from manual entry is consistency. Humans get tired and make more errors under pressure. AI maintains the same accuracy at 10 documents or 10,000. Every extraction includes a confidence score, and items below your threshold are routed to human review.
PDF (native and scanned), TIFF, JPEG, PNG, Word (.docx), Excel (.xlsx), HTML, and plain text. For scanned documents, our AI handles skew correction, noise reduction, and layout detection before extraction. Multi-page documents are processed as a single unit.
AI document processing handles poor scans far better than traditional Optical Character Recognition (OCR). Our models perform layout analysis, noise filtering, and contextual interpretation, so even partial or degraded text can be extracted accurately. Handwriting recognition works best on structured forms where the AI knows what to expect. For free-form handwriting, accuracy depends on legibility and we assess this during the audit phase.
Yes. We build on platforms that connect to over 400 business tools including SharePoint, Google Drive, Dropbox, Box, and most document management systems. Extracted data can be pushed to your CRM, ERP, accounting system, or any tool with an API. We also support email ingestion and watched folders for fully automated pipelines.
OCR reads characters from an image and turns a scan into text. Document intelligence goes further. It understands what the text means, where it sits on the page, how fields relate to each other, and what type of document it is. OCR tells you there’s a number in the top right corner. Document intelligence tells you it’s an invoice number and routes it to accounts payable.
A typical single-document-type workflow takes 2-4 weeks from audit to production. The first week covers the assessment, understanding your documents, volumes, and downstream systems. Implementation takes 1-3 weeks depending on integration complexity. Multi-document workflows are phased, adding one document type at a time.
Your data stays yours. We sign data processing agreements, never use your data to train AI models, and can host processing on UK infrastructure if required. Every document processed includes a full audit trail showing who processed it, when, what was extracted, and what confidence score it received. For regulated sectors, we design workflows that satisfy compliance requirements for data handling and retention.