Document Intelligence
Automate document reading and extraction.
Feed invoices, contracts, forms, and reports into structured pipelines that extract, validate, and route data automatically — eliminating manual data entry at its root.
Documents shouldn't require humans to read them
Across finance, legal, procurement, and operations, a huge proportion of business data arrives locked inside unstructured documents — PDFs, scanned forms, email attachments, and digital contracts. Getting that data into your systems currently requires someone to read, interpret, and re-key it. That's slow, error-prone, and an extraordinary waste of skilled time.
We build Intelligent Document Processing (IDP) pipelines that read documents the way a trained analyst would — identifying fields across variable layouts, understanding context, validating against business rules, and routing structured data directly into your downstream systems. Whether the input is a structured PDF invoice or a handwritten form scan, the output is clean, validated, usable data.
Business challenges we solve
The document processing problems that drive businesses to IDP.
Manual Data Entry from Documents at Scale
Teams spend hours keying data from invoices, forms, and reports that arrive in high volumes every day.
Inconsistent Document Formats
The same type of document — like a supplier invoice — arrives in dozens of layouts, defeating template-based extraction.
High Error Rates in Manual Processing
Human transcription introduces errors that propagate downstream — into payments, compliance records, and analytics.
Slow Document-Dependent Processes
Processes gated on document review — contract approval, claims processing, loan origination — move at the speed of human reading.
Poor Compliance & Audit Trails for Documents
Manual handling makes it difficult to track which documents were processed, by whom, and what data was extracted.
Documents Trapped in Email or Shared Drives
Valuable business data sits in attachments and folder hierarchies instead of flowing into systems where it can be used.
Our approach
How we build document processing pipelines that work at production volumes.
Document Type & Field Analysis
We analyse your document corpus to identify all layouts, field types, and extraction rules before building the pipeline.
Layered OCR + NLP Architecture
We combine high-accuracy OCR for text extraction with NLP for field identification and contextual understanding.
Validation Rules Against Business Logic
Extracted data is validated against your business rules — PO matching, currency checks, required field presence — before routing.
Confidence-Scored Outputs
Every extraction carries a confidence score. Low-confidence fields are flagged for human review rather than silently passed through.
Human Review Queue for Edge Cases
A lightweight review interface lets operators correct uncertain extractions — which feeds back into model improvement.
Direct Integration Into Downstream Systems
Validated data routes directly into your ERP, document management system, or custom database — no manual re-keying required.
Key capabilities
Multi-Format Document Ingestion
Processes PDFs, scanned images, Word documents, Excel files, and email attachments from any intake channel.
Layout-Agnostic Field Extraction
Identifies fields across variable document layouts without requiring a fixed template per vendor or document type.
Multi-Language Document Support
Handles documents in multiple languages — critical for global procurement and multi-region operations.
Business Rule Validation
Validates extracted data against configurable business rules before routing to downstream systems.
Confidence Scoring & Exception Routing
Low-confidence extractions are queued for human review with the original document and extracted values side by side.
Full Audit Trail
Every document processed, every field extracted, and every human correction is logged with timestamps.
Service offerings
Invoice & Purchase Order Processing
Automated extraction from supplier invoices and POs, with three-way matching validation and ERP integration.
Contract Data Extraction
Extract key dates, parties, clauses, and obligations from legal contracts at scale — feeding contract management systems.
KYC & Onboarding Document Processing
Automated extraction and validation from identity documents, application forms, and compliance documentation.
Claims & Application Form Processing
High-volume form processing for insurance claims, loan applications, and government submissions.
Medical Records & Clinical Document Processing
Structured extraction from clinical notes, lab reports, and medical forms — with HIPAA-aligned data handling.
Custom Document Type Pipeline
Full design and build of an IDP pipeline for any proprietary document type specific to your industry or operation.
Technologies & tools we use
Development process
From document corpus analysis to a monitored production IDP pipeline.
01. Document Corpus Analysis
3–5 Days- Document type inventory
- Layout variation mapping
- Field extraction specification
- Volume & intake analysis
02. Pipeline Architecture Design
1 Week- OCR + NLP stack selection
- Validation rule design
- Exception queue design
- Integration mapping
03. Extraction Model Build & Training
2–3 Weeks- Model training on document sample
- Field extraction tuning
- Confidence threshold calibration
- Multi-layout testing
04. Validation & Integration Build
1–2 Weeks- Business rule implementation
- ERP / downstream connectors
- Exception queue UI
- End-to-end pipeline testing
05. UAT & Accuracy Benchmark
1 Week- Accuracy rate validation
- Edge case testing
- Stakeholder sign-off
- SLA benchmark
06. Production & Continuous Improvement
Ongoing- Volume monitoring
- Accuracy tracking
- Human correction feedback loop
- Model updates
Architecture & solution overview
The layered architecture of our Intelligent Document Processing pipelines.
Ingestion Layer
Ingestion Layer
Document receipt from email, upload portals, shared drives, or API — normalised into a consistent processing queue.
Email Parser / File Watcher / APIExtraction Layer
Extraction Layer
OCR for text, NLP/NER for field identification, and layout analysis — working together to extract structured data from any document format.
OCR + NLP / Document AI APIsValidation Layer
Validation Layer
Business rule checks applied to extracted data — PO matching, required field validation, format verification — before any data moves downstream.
Validation EngineException Layer
Exception Layer
Low-confidence extractions and validation failures queued for human review — with original document and extracted values presented side by side.
Review Queue InterfaceIntegration Layer
Integration Layer
Validated, structured data routed directly into ERP, CMS, database, or downstream workflow systems.
API / Database ConnectorsIndustry use cases
The document intelligence pipelines we've built across finance, legal, and operations.
Accounts Payable Invoice Automation
An IDP pipeline processing 3,000+ supplier invoices per month for a manufacturing company — reducing AP processing time from 7 days to same-day.
Insurance Claims Form Processing
Automated extraction from handwritten and digital claim forms for an insurance provider — improving processing throughput 4x.
Contract Obligation Extraction
NLP pipeline extracting key dates, renewal terms, and payment obligations from 8,000+ legacy contracts for a legal team's contract management migration.
Benefits & business outcomes
Elimination of Manual Data Entry Cost
High-volume document processing runs without human involvement for the vast majority of documents.
Near-Zero Transcription Errors
Automated extraction with validation eliminates the transcription errors that propagate through downstream systems.
Dramatically Faster Document-Gated Processes
Processes waiting on document review — AP, claims, onboarding — run at machine speed rather than human reading speed.
Why choose our team
Layout-Agnostic Extraction
We don't build fragile template-matching systems — our models identify fields across variable layouts without per-supplier configuration.
Production Accuracy Standards
We validate against a defined accuracy benchmark before launch, and include ongoing monitoring against that target.
Compliance-Aware Data Handling
We build with data residency, encryption, and access controls that meet financial and healthcare compliance requirements.
Engagement models
Fixed-Scope IDP Pipeline
A complete document processing pipeline for a defined document type, delivered at a clear price and timeline.
Multi-Document Type Platform
An IDP platform handling multiple document categories with shared infrastructure and monitoring.
IDP Audit & Improvement
Assessment and optimisation of an existing extraction solution that isn't meeting accuracy requirements.
Project delivery timeline
Typical timelines by IDP scope.
Single Document Type Pipeline
4–6 WeeksOne document type — invoices, forms, or contracts — fully extracted and integrated.
Multi-Type IDP Platform
7–12 WeeksThree to five document types on shared infrastructure with unified review queue.
Enterprise Document Intelligence Platform
12+ WeeksOrganisation-wide IDP handling all incoming document types with full integration into business systems.
Frequently asked questions
Our pipelines can handle any structured or semi-structured document type — invoices, purchase orders, contracts, application forms, claim forms, identity documents, clinical notes, lab reports, and more. We can process PDFs, scanned images (including handwritten), Word documents, Excel files, and email attachments. We assess your specific document corpus during discovery to confirm accuracy expectations.
Ready to stop re-keying data from documents?
Tell us about your highest-volume document type and we'll design an extraction pipeline that processes it accurately and routes data into your systems automatically.