IDP & Decision Systems

Intelligent Document Processing

Enterprise AI that reads, extracts, and acts on any document — contracts, KYC packets, compliance filings, invoices. Replace manual review with automated pipelines that process in seconds, not days.

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80%
Reduction in document processing time
Across client deployments
0
Missed steps or rework
With automated validation layers
4–8w
Typical delivery timeline
From discovery to production
The problem

Unstructured documents are your slowest process

Every enterprise runs on documents — but most of them are still being read by people. KYC packets reviewed manually. Contracts searched by ctrl+F. Compliance filings interpreted line by line. It is slow, expensive, and doesn't scale.

Intelligent Document Processing replaces that manual reading with AI pipelines that extract, classify, validate, and route information automatically — across any document type, at any volume.

We build these systems for enterprise clients across Fintech, Finance, and ESG — production-ready, integrated with your existing stack, delivered in weeks not months.

Use cases

What we automate

KYC & Onboarding

KYC Document Automation

Extract identity data, verify document types, flag inconsistencies, and route for review — automatically. Reduce KYC processing time from days to minutes without adding headcount.

FintechFinance
Legal & Compliance

Contract & Compliance Processing

Ingest contracts, compliance filings, and regulatory documents at scale. Extract obligations, deadlines, and risk clauses — structured and searchable, without manual reading.

FinanceESGLegal
Client Onboarding

Onboarding Document Intelligence

Read client discovery documents, emails, and requirement sheets. Extract structured requirements, identify gaps, and generate dependency-aware setup plans — automatically.

SaaSFintechCoaching
Finance & Operations

Invoice & Purchase Order Processing

Automate extraction from invoices, purchase orders, and receipts across formats — PDF, image, email. Feed clean structured data directly into your ERP or finance platform.

FinanceOperations
How we deliver

From discovery to production in weeks

01

Discovery

We map your document types, volumes, and failure points. One week, fixed scope.

02

Pipeline Design

We design an extraction architecture — OCR, NLP, classification, validation — matched to your document complexity.

03

Build & Test

We build the pipeline against real document samples. Accuracy benchmarked before anything goes to production.

04

Integration

We connect the pipeline to your existing systems — CRM, ERP, compliance platform — via API or direct integration.

05

Go Live

We deploy, monitor the first production runs, and hand over with full documentation. Typically 4–8 weeks end-to-end.

Case study · IDP in production

Client setup preparation: days reduced to hours

An enterprise SaaS company was manually reading client discovery documents, emails, and requirement sheets to prepare setup plans — taking days per client, with frequent missed steps and rework. We built an IDP pipeline that ingests all document formats, extracts structured requirements, identifies gaps, and generates a dependency-aware execution plan automatically.

Days → hours
Setup preparation time
0
Missed steps or rework
100%
Consistent across clients
Ready to start

Tell us what you're processing manually

One conversation is enough to know if IDP is the right fit. Fixed-fee scoping. No day rates. Delivered in weeks.

info@kelriva.ai
FAQ

Everything you need to know about Intelligent Document Processing

What is Intelligent Document Processing and how does it work?+

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.

What types of documents can Kelriva AI automate?+

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.

How accurate is AI document processing compared to manual review?+

Production IDP systems built by Kelriva AI typically achieve 95–99% extraction accuracy on well-defined document types, 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. Our IDP systems reduce document processing time by 70–90% while maintaining or improving accuracy — with full audit trails that manual processes cannot provide.

How long does it take to implement an IDP system?+

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.

Will IDP integrate with our existing systems?+

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.

What is the difference between IDP and traditional OCR software?+

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.

Do you offer IDP for KYC and financial compliance documents?+

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.

What industries does Kelriva AI serve with IDP?+

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.