Intelligent Document Processing

We're not a chatbot. We process the whole file.

Intelligent document processing (IDP) uses AI to read, classify, and extract data from business documents. AgentFlow goes further: it validates that data across every document in a file and acts on it, so a loan file, claim, or invoice moves from intake to a decision-ready package.

Classify

and extract from any document format

Validate

data across the whole file, not one document at a time

Hand off

a decision-ready package with a full audit trail

Book a Demo

See It on Your Files

Last updated: October 2026

One Platform for Document-Driven Workflows

AgentFlow is Multimodal's platform for document-driven lending, insurance, and finance operations. One system handles classification, decisions, and reporting, all on a single audit trail.

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What Is Intelligent Document Processing?

Intelligent document processing, or IDP, uses AI, including optical character recognition (OCR), natural language processing (NLP), machine learning, and computer vision, to classify documents, extract structured data, and validate it before it reaches a business system. It turns documents organizations already handle, such as loan applications, invoices, and claims, into structured data a business system can use.

IDP handles structured documents (forms with fixed fields), semi-structured documents (invoices), and unstructured documents (contracts, memos) in one pipeline. Early tools stopped at OCR, reading text without understanding it. Modern software adds classification, validation, and integration with the systems that use the data.

Why Template-Based IDP Solutions Hit a Ceiling

Robotic process automation (RPA) can move data between systems once it's extracted, but RPA follows fixed rules. It does not read a document or judge whether a number is right. Classic IDP plus RPA covers intake and movement, and neither validates meaning across documents.

New template per layout

Each new layout requires retraining or a new template.

Labeled data

Accuracy depends on large labeled datasets.

Custom integration

Integration requires custom engineering.

Ongoing maintenance

The model needs ongoing maintenance.

How AgentFlow Processes Documents

AgentFlow runs intelligent document processing as one pipeline instead of a chain of disconnected tools.

Capture and Classify

Documents arrive from email, a loan system, a claims portal, or a scan, in any format. Each one is sorted by type, from a pay stub to a loss run, with no fixed template.

AgentFlow Document AI classifying a mortgage packet and extracting a pay stub into income, net pay, payroll, and deductions fields traced to source PDFs

Extract Structured Data

AgentFlow pulls the fields that matter from any document, structured or not, such as income figures, policy numbers, and dates, into data your systems can use.

AgentFlow audit trail with a timestamped status tracker and a Decision AI verdict showing its full reasoning and cited documents

Validate

AgentFlow checks its own work: totals must add up, and names, addresses, and ownership must agree across every document in the file. Clean files pass through; anything else goes to a human.

AgentFlow orchestrating an auto lending file, with source documents and a Report AI underwriting and funding memo with cited conditions

Act and Integrate

Validated data flows through an API into your loan system, core, claims platform, or ERP, so it reaches the system that acts on it.

AgentFlow tracker showing an agentic banking workflow completing document preparation, extraction, decisioning, reporting, and finalization

Learn

Every human correction trains the model, so accuracy on new document types improves without a full retraining.

Results Credit Unions and Lenders See With AgentFlow

99% Accuracy at FORUM Credit Union

99% document classification accuracy and 99% data extraction precision across 62 auto loan packages, with 100% automated, explainable decisioning.

80% Lower Cost at Direct Mortgage Corp.

80% lower cost per processed document and roughly 20x faster time-to-decision, automating extraction across pay stubs, tax forms, and 200+ other document types.

93.6% Extraction Accuracy at Libra Internet Bank

93.6% extraction accuracy on native-digital documents and 87.1% across all clients including scanned inputs, with an analytical workbook now built in minutes instead of hours.

See Your Own Numbers

See It on Your Own Files

Bring a real loan packet, claim file, or invoice batch, and AgentFlow will process it live. You review the extracted data, validation flags, and audit trail before making any further decisions.

Book a Demo

How Document Processing Approaches Compare

Most AI tools handle one piece of the job in one department. AgentFlow handles the entire file across departments, from intake to decision.

Approach	Handles new document formats	Validates across documents	Acts on the data after extraction	Learns from corrections
AgentFlow	Yes. Adapts to new formats	Yes. Cross-document validation	Yes. Decision-ready output with audit trail	Yes. Continuous learning loop
Optical character recognition alone	No. Reads text only, no understanding of meaning	No	No	No
Robotic process automation	No. Follows fixed rules	No	Moves data, doesn't judge it	No
Template-based IDP software	Needs a new template or retraining	Limited, field-level only	Outputs data for a human to act on	Periodic retraining

Put It to the Test

Why Teams Choose Multimodal for Document Processing

Targeted review

Staff looks only at the fields that carry a low-confidence flag or fail a cross-document check; clean files pass straight through.

Validated, traceable data

Every extracted field is validated and traceable to its source document.

Fits the systems you run

Connects through an API to the loan origination systems, cores, and claims platforms you already use, with no separate silo to maintain.

Audit trail built for examiners

Lenders, insurers, and finance teams automate document-driven work and keep the record an examiner expects.

Security and Governed Autonomy

SOC 2 Type 2

AgentFlow is SOC 2 Type 2.

Supports DORA Requirements

AgentFlow supports the operational resilience requirements of the EU's Digital Operational Resilience Act (DORA).

Customer Data Separated By Account

Customer data is separated by account and encrypted in transit and at rest.

Security & Trust

Keep Learning

What Is Agentic Document Processing? The Complete Guide

Best AI Document Processing Platforms, 2026

Clearing Loan Stipulations With AI

HMDA Reporting Automation

The True Cost of Manual Document Processing in Credit Unions

The Incomplete-Packet Problem

Do You Need Clean Data for AI?

Serving a credit union? See AI for credit unions, or explore AgentFlow for financial services.

FAQ

What is intelligent document processing?

Intelligent document processing (IDP) is software that uses AI, including OCR, NLP, machine learning, and computer vision, to classify, extract data from, and validate documents before they reach a business system. It handles structured, semi-structured, and unstructured documents in one pipeline.

How is intelligent document processing different from OCR alone?

Optical character recognition converts a scanned image into machine-readable text. It does not classify the document, extract specific fields, or validate the data. Intelligent document processing software adds that layer, plus optical mark recognition for checkbox and form-based fields, so the output is usable structured data, not a text dump.

How is this different from robotic process automation?

Robotic process automation moves data between systems using fixed rules. It does not read a document or judge whether extracted data is correct. Intelligent document processing handles the upstream work of turning a document into structured data, and AgentFlow goes further by validating and acting on that data, which is the layer RPA depends on rather than a competing tool.

What document types can AgentFlow process?

AgentFlow processes loan applications, pay stubs, tax returns, bank statements, invoices, insurance claims, policies, and patient records, across structured, semi-structured, and unstructured document formats, including scanned and handwritten pages.

How accurate is AgentFlow's document processing?

FORUM Credit Union achieved 99% document classification accuracy and 99% data extraction precision across 62 auto loan packages ranging from 15 to 61 pages, with every extracted field traceable to its source document.

Does intelligent document processing entirely replace manual data entry?

No. AgentFlow automates the bulk of data entry and classification, then routes only low-confidence fields or genuine exceptions for manual review, so staff time shifts from repetitive manual tasks to judgment calls.

Is intelligent document processing secure for regulated industries?

AgentFlow runs under Governed Autonomy, with data encryption in transit and at rest, customer data separated by account, SOC 2 Type 2 compliance, and support for DORA requirements.

How long does it take to go live with AgentFlow?

Timelines depend on the number of document types and systems in scope. Book a demo to see AgentFlow process your own files before committing to a timeline.

Bring Us Your Hardest Document Workflow

We'll process it live and show you the extracted data, the validation, and the audit trail.

Book a Demo