Document AI & OCR for UK Businesses

Document AI & OCR Development for UK Businesses

Document AI turns scanned pages and PDFs into clean, structured, usable data. We build OCR and intelligent document processing pipelines that capture documents, extract the fields that matter, validate them, route exceptions to a human and push the result into your systems — with an audit trail. One of our largest engagements digitised 100,000+ pages of invoices and KYC/bank documents for a court.

Discuss a Document AI Project Read the Case Study

Why It Matters

Manual document processing does not scale

Invoices, KYC packs, contracts, claim forms and court records all follow the same pattern: high volume, inconsistent formats, and teams spending hours on work a well-built pipeline can do faster and more consistently. The goal is not to remove people — it is to remove the repetitive keying and chasing so your team handles the exceptions and the judgement calls.

Turnaround time drops from days to minutes for standard documents, so downstream teams are not blocked waiting for data entry.

Validation rules catch mismatches, missing fields and inconsistencies before they reach your systems, reducing rework and disputes.

Every extraction can be traced back to the source page, which matters for audit, legal and compliance requirements.

Low-confidence items are routed to a human review queue instead of being guessed, keeping accuracy under your control.

Our Pipeline

How a document AI pipeline is built

Capture

Ingest from scans, email, upload portals or an existing system, with deduplication and document-type detection at the door.

OCR & vision

Text extraction with layout awareness, handling poor scans, stamps, tables and multi-column layouts that plain OCR struggles with.

Classify & extract

Identify the document type, then extract the specific fields — invoice numbers, totals, names, dates, addresses, clauses — into structured data.

Validate & review

Apply business rules, flag low-confidence output, and route exceptions to a human reviewer with the source page shown alongside.

Integrate

Deliver clean data into your ERP, finance system, case-management tool or database through an API or export.

Use Cases

Documents we process

Invoices & financial documents

Capture line items, totals, tax and supplier details and push them into finance or ERP systems, with validation against purchase orders.

FinanceAP/AR

KYC & identity documents

Extract and verify identity and bank documents for onboarding, flagging inconsistencies for compliance review.

BankingFintech

Legal & court records

Digitise and index case files, contracts and regulatory documents, making them searchable and citable. See our court digitisation project →

LegalPublic sector

Forms & records

Structured extraction from claim forms, applications and internal records, feeding downstream workflow automation. See document automation →

InsuranceHealthcare

Compliance

Built for sensitive documents

GDPR and UK-GDPR aware by design: data minimisation, encryption at rest and in transit, and defined retention rules.

Private and on-premises deployments available so sensitive content never passes through shared public AI services.

Role-based access to extracted data and source documents, with full access logging for audit.

NDA and data-processing agreements in place before any client document is processed.

FAQs

Document AI & OCR FAQs

How accurate is OCR and document AI?

It depends heavily on document quality, layout consistency and the fields being extracted. Clean, consistent documents extract very reliably; poor scans, handwriting and unusual layouts need more work and often a human-review step. We are honest about accuracy during scoping and build a review queue for the cases that need it, rather than promising 100% on messy input.

Can you process our existing archive of scanned documents?

Yes. Backlog digitisation is a common project. We design the pipeline to handle the scan quality you actually have, and can process in batches so you get value before the whole archive is complete.

Do you use off-the-shelf OCR or build custom?

Usually a combination. We often start with proven OCR and document-vision components, then add custom classification and extraction logic for your document types. If a standard tool already solves your problem well, we will say so instead of building something unnecessary.

Where is my data stored?

Wherever you require. We can run the pipeline in your own cloud environment, in a private instance we manage for you, or fully on-premises. For regulated and sensitive work we default to the most private option that fits your budget.

How long does a document AI project take?

A focused extraction pipeline for one or two document types can reach a working pilot in a few weeks. Large multi-format archives with review workflows and system integration take longer, mostly driven by data cleanup and validation design.

How many pages are you processing by hand each week?

Tell us the document types and volumes. We will map a pipeline and a realistic accuracy target.

Request a Document AI Estimate