01
AI · Document Processing · UK
Production

98.3% accuracy on
2,847 documents.

An end-to-end AI document processing pipeline for a UK financial services client. From raw PDFs, scanned images, and emails to structured data — with human oversight on every high-value decision.

2,847
docs/month
98.3%
accuracy
faster
100%
auditable
korix-doc-ai — live
12:04:31 SCAN Doc #2847 — invoice_uk_2024.pdf
12:04:31 OCR 94 fields detected → rules engine
12:04:32 VALIDATE Amount: £12,450 · Vendor: verified
12:04:32 FLAG High-value → routed to human review
12:04:35 REVIEWED by Sarah K. → approved
12:04:35 STORED confidence: 98.3% · audit: logged
12:04:36 NEXT Doc #2848 — contract_renewal.pdf
Case Study

Thousands of documents.
Zero visibility.

The client — a UK-based financial services firm — was processing thousands of documents every month. Invoices (PDF and scanned), compliance forms (Word and PDF), contracts (multi-page), and client correspondence (email and print) were being read, categorised, and entered into internal systems by hand.

The process was slow. A single document could take 15–20 minutes to process manually. During peak periods, the backlog grew faster than the team could clear it. Errors crept in — misclassified invoices, transposed figures, missed compliance flags.

But the biggest problem wasn't speed or accuracy. It was visibility. When a document was misclassified or a figure was entered incorrectly, there was no way to trace when the mistake happened, who made it, or why. Audit requests from regulators meant days of manual reconstruction.

Before KORIX
15–20 minutes per document, manually
~82% accuracy — errors caught late or not at all
No audit trail — regulator requests took days
Peak backlogs growing faster than the team could process
Our approach

Design the system first.
Then build the AI.

We didn't start with the model. We started with the governance — who reviews what, when, and how every decision gets logged. The AI came second.

1
Discover

Mapped every document type, every manual step, every decision point. Identified which documents needed human review and which could be fully automated. Assessed data readiness and defined accuracy thresholds.

2
Design

Designed the full pipeline architecture — OCR layer, field extraction, business rules engine, human review routing, and immutable audit logging. Governance was the first layer designed, not the last.

3
Build + Validate

Built against real documents — not test data. Trained OCR on the client's actual document formats. Tested the business rules against 6 months of historical data. Validated accuracy before any document touched a real workflow.

4
Hand Over

Full documentation, architecture diagrams, and team training. The client's operations team now runs the system independently. No ongoing dependency on KORIX. If we disappeared tomorrow, the pipeline keeps running.

The system

Four layers.
One governed pipeline.

OCR + Field Detection
Scans PDFs, scanned images, Word documents, and emails. Identifies 94+ field types across invoices, contracts, compliance forms, and correspondence. Handles multi-page documents, tables, and handwritten annotations. Extracts structured data with confidence scores.
Business Rules Engine
Validates every field against predefined rules. Cross-checks amounts, dates, vendor IDs. Catches anomalies before they reach a human.
Auto-approved
High confidence documents pass through automatically — still logged.
Human Review
Low confidence or high-value → routed to reviewer. AI recommends, human decides.
Immutable Audit Trail
Every path — auto-approved or human-reviewed — logged permanently. Timestamp, confidence, reviewer, outcome. Regulator-ready.
All four layers run in production. All four are auditable. The client owns all of it.
Results

Before and after.
The numbers speak.

98.3%
accuracy in production
Previously: ~82% with manual processing
faster processing
Previously: 15-20 min per document
100%
audit trail coverage
Previously: days to reconstruct
Zero
document backlog
Pipeline handles volume automatically
Want to automate your document processing?
30 minutes. Honest advice on what AI can handle — and what should stay with humans.
Book a Discovery Call →
Governance

Designed in.
Not bolted on.

This system was built with governance as the foundation — not an afterthought added before launch. Every design decision was made with auditability, accountability, and human oversight in mind.

Every document above a configurable threshold requires human sign-off
Every approval logged immutably — who, when, and what they approved
Compliance team can audit any decision at any time — no reconstruction needed
Rollback mechanisms defined and tested before go-live
Decision Flow
Document arrives
Rules engine validates
High confidence
→ auto-approved
Low / high-value
→ human review
Logged to immutable audit trail ✓
Tech stack

What powers
the pipeline.

Document AI OCR Python Business Rules Engine Human-in-Loop Immutable Audit DB Production Deployed
Ownership

You own everything.
Zero dependency.

When we hand over a system, we hand over everything. The client's team runs this pipeline independently — no calls to KORIX, no monthly retainer, no vendor lock-in.

Source code
Full codebase, all environments
Architecture docs
Diagrams, decisions, rationale
Team training
Your team runs it without us
Zero lock-in
No retainer, no dependency
FAQ

About AI
document processing.

Have more questions? Book a free 30-minute call and we will answer them honestly.

Book a call →
What is AI document processing?

AI document processing uses machine learning and OCR to automatically scan, classify, extract data from, and validate documents — replacing manual data entry while maintaining accuracy and compliance. When combined with human-in-the-loop review and audit trails, it's suitable for regulated industries like financial services.

How accurate is AI document processing?

It depends on the document types and training data. KORIX's pipeline achieved 98.3% accuracy on 2,847 documents per month — up from approximately 82% with manual processing. The human-in-the-loop layer catches edge cases, meaning the effective accuracy for high-value decisions approaches 100%.

Can AI document processing work in regulated industries?

Yes — when designed with governance from day one. KORIX builds document AI systems with human review workflows, immutable audit trails, and compliance checkpoints. Every decision is traceable and auditable. This project was built specifically for a UK-regulated financial services environment.

How long does it take to deploy AI document processing?

Through the KORIX 21-Day AI Pilot, a governed document AI system can be running in production within 3 weeks — including OCR setup, business rules, human review workflow, and audit trail. Full enterprise deployments typically run 8–12 weeks depending on document variety and compliance requirements. Learn about the 21-Day Pilot →

What types of documents can AI process?

Invoices, contracts, compliance forms, correspondence, receipts, reports, and any structured or semi-structured document. The system is trained on your specific document formats — not generic templates. The more document types you process, the more valuable the AI becomes.

What happens when the AI gets a document wrong?

The system is designed for this. Documents with low confidence scores are automatically routed to human reviewers. High-value documents always require human sign-off regardless of confidence. The human correction is logged and fed back to improve future accuracy. No wrong decision goes unreviewed.

Do we need to prepare our data before starting?

No — data readiness assessment is part of our process, not a prerequisite. We evaluate your existing documents, formats, and workflows in the first week. Many clients come to us precisely because they are unsure about their readiness. Start with the 21-Day Pilot →

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Processing documents
manually?

Let's talk about what AI can automate — and what should stay with humans. Free 30-minute call. Honest advice.

Book a Discovery Call → Start with the 21-Day Pilot

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