Intelligent Document Processing

Intelligent Document Processing (IDP) combines optical character recognition (OCR), natural language processing (NLP), and machine learning to automatically extract, classify, validate, and route data from unstructured documents. Unlike basic OCR which simply converts images to text, IDP understands document context — distinguishing a KYC identity document from a compliance filing, extracting the right fields, validating them against business rules, and feeding the results into your downstream systems without human intervention.

We build IDP systems for contracts, KYC identity packets, compliance filings, invoices, purchase orders, client onboarding packs, insurance claims, regulatory submissions, and any other structured or semi-structured business document. The system is trained on your specific document types and layouts, so extraction accuracy is calibrated to your actual data — not generic templates.

Well-configured IDP systems typically achieve 95–99% extraction accuracy on well-defined document types — consistent with published IDP benchmarks for mature deployments — with configurable confidence thresholds that route edge cases to human review. Manual document review averages 96–98% accuracy but at significantly higher cost and turnaround time. Mature IDP deployments typically cut document processing time by 60–90%, in line with Deloitte's finding of 60–80% IDP-driven processing-time reduction in financial services deployments specifically, and consistent with our own IDP client work below, where manual setup-prep time dropped from days to hours — all with full audit trails that manual processes cannot provide.

A production-ready IDP system takes 4–8 weeks from discovery to deployment, depending on document complexity and integration requirements. Week 1–2 covers document analysis and architecture design. Week 3–5 covers pipeline construction, model training, and integration. Week 6–8 covers testing, refinement, and handover. All engagements are fixed-fee with scope and timeline agreed in writing before any work begins — no day rates, no scope creep.

Yes. Kelriva AI builds IDP pipelines that connect to your existing CRM, ERP, compliance platform, or internal tools via API. We have delivered integrations with Salesforce, HubSpot, SAP, Odoo, and bespoke internal systems. The AI layer sits on top of your current workflows and automates the extraction and routing steps — there is no requirement to replace or redesign your existing processes.

Traditional OCR converts document images to machine-readable text but has no understanding of what that text means. It requires rigid, pre-defined templates and breaks when document layouts change. IDP uses large language models and semantic understanding to extract meaning regardless of layout variation, handle handwritten content, process multi-language documents, and make decisions based on extracted data — capabilities that rule-based OCR cannot provide.

Yes. KYC and financial compliance document automation is one of our core use cases. We build IDP systems that extract and validate identity documents, proof of address, corporate structure documents, and regulatory filings — with confidence scoring, exception handling, and audit trail generation built in. These systems are designed to meet FCA and UK financial services compliance requirements.

Yes. AI contract review is one of the core use cases we build IDP systems for. We extract obligations, termination clauses, liability caps, and renewal dates from contracts at scale, structured and flagged by risk level for legal and compliance teams to review — cutting review time from days to hours while producing a full audit trail. This does not replace legal judgement on any individual contract; it removes the manual reading burden across large volumes.

Our primary verticals for Intelligent Document Processing are Fintech, Finance, ESG reporting, and Professional Services. We have delivered IDP systems that automate client onboarding in financial services, contract extraction for legal and compliance teams, ESG data extraction from regulatory filings, and invoice processing for enterprise operations. We serve clients across the UK and Europe from our London base.