ipfour
AI ServicesCustom AIIntelligent Document Analysis
Custom AI Solutions

Documents processed. Automatically.

AI systems that read, classify, extract, and summarise your documents at scale. Contracts, invoices, reports, and forms processed without manual review, built entirely on your own document types.

Built on Your Documents
UK-Based Development
Prototype Before Commitment
Full IP Ownership
99%+
Extraction accuracy on trained document types
90%
Average reduction in manual document processing time
8 weeks
Typical prototype-to-production timeline
100%
Built on your own documents and data
What We Build

Every document capability your business needs.

From classification and extraction to compliance checking and intelligent search, we build document analysis systems tailored to your specific document types and workflows.

Automated Document Classification

AI models that categorise incoming documents by type, department, urgency, and required action. Contracts, invoices, correspondence, and forms routed automatically without manual sorting.

ClassificationRoutingDocument Types

Structured Data Extraction

Extract specific fields from unstructured documents at scale. Invoice line items, contract dates, party names, financial figures, and regulatory identifiers pulled accurately into your systems.

Data ExtractionField MappingStructured Output

Contract Review and Summarisation

AI that reads contracts and produces plain-language summaries highlighting key obligations, renewal dates, liability clauses, and non-standard terms requiring human attention.

Contract ReviewSummarisationRisk Flagging

Compliance Document Checking

Automated review of documents against defined compliance criteria. Identify missing clauses, non-compliant language, and regulatory gaps before documents are signed or filed.

Compliance CheckingGap AnalysisRegulatory Alignment

Intelligent Search and Retrieval

Semantic search across your document library. Find relevant documents by meaning, not just keywords. Surface related contracts, precedents, and supporting documents instantly.

Semantic SearchDocument RetrievalKnowledge Base

Continuous Learning and Improvement

Document analysis models that improve with use. Corrections and feedback from your team are used to retrain the model, increasing accuracy over time on your specific document types.

Model TrainingContinuous ImprovementAccuracy Optimisation
How We Build

From document audit to production system.

01

Document Audit

We catalogue the document types your organisation processes, the volume, the current manual effort involved, and the data you need to extract or actions you need to trigger.

02

Training Data Preparation

We work with your team to label a representative sample of documents. This training data is the foundation of an accurate model built specifically for your document types.

03

Model Development and Testing

We build and test the document analysis model against your real documents. Accuracy is validated before any production deployment.

04

System Integration

The document analysis system is integrated into your existing workflows. Email inboxes, SharePoint libraries, ERP systems, and CRM platforms connected as required.

05

Team Training and Handover

Your team trained on the system. Correction workflows established so that exceptions are handled efficiently and used to improve the model.

06

Performance Monitoring

Ongoing monitoring of extraction accuracy, processing volumes, and exception rates. Regular model retraining as your document types evolve.

Real Results

Document analysis delivering measurable results.

Regional Law Firm

A 60-person law firm was spending 15 hours per week manually reviewing and summarising contracts before client meetings. Solicitors were doing work that could be automated.

Custom document analysis system built. Contract review time reduced from 15 hours to under 2 hours per week. Accuracy validated against solicitor review at 97.4%.

Financial Services Firm

A financial services firm was manually processing 500 client documents per week to extract key data for their CRM system. The process was slow, error-prone, and a bottleneck for onboarding.

Intelligent document extraction system built. 500 documents processed automatically per week. Data accuracy improved from 87% to 99.2%. Onboarding time cut by 60%.

Property Management Company

A property management company was manually reviewing lease agreements to extract key dates, obligations, and break clauses. The process took 3 hours per lease and errors were causing missed deadlines.

Lease analysis system deployed. Each lease reviewed in under 4 minutes. Key dates and obligations extracted to a structured dashboard. Zero missed renewal deadlines in the first year.

Get Started

Ready to automate your document processing?

Book a free discovery call. We will assess your document types, estimate the manual effort being spent, and scope a prototype you can see working before committing to full development.