The AI Budget Report for Credit Unions 2026-27

AgentFlow vs Ocrolus

Ocrolus extracts your financial documents. AgentFlow processes your loans.

Ocrolus classifies bank statements, pay stubs, tax forms, and 1,800+ document types, then delivers structured data via API. It does not automate underwriting workflows, credit decisioning, or compliance reporting. AgentFlow automates the full lending pipeline: financial document processing, data validation, decisioning, exception routing, and post-decision reporting.

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Ocrolus vs AgentFlow

Ocrolus reads your documents. It doesn't process your loans.

400+

customers — ~750,000 credit applications processed per month (per Ocrolus, March 2026)

$127M+

funded since founding in 2014, serving mortgage, SMB, consumer, and auto lending verticals

Ocrolus is a document AI platform and analytics platform (founded 2014, $127M+ funded, 400+ customers). The Ocrolus API processes ~750,000 credit applications per month. It extracts data from bank statements, pay stubs, tax forms, and unstructured documents, analyzes income and cash flows, and detects fraud via Ocrolus Detect. A human-in-the-loop model achieves 99%+ accuracy on processed financial documents.

Users report strong processing speed across diverse document types in mortgage and small business lending across financial services.

What Ocrolus covers

Document extraction & analytics

1,800+ document types. Bank statements, pay stubs, tax forms, unstructured documents. Income and cash flow analytics. Fraud detection via Ocrolus Detect. 99%+ accuracy with human-in-the-loop.

What Ocrolus does not cover

The rest of the pipeline

Credit decisioning. Exception routing. Post-decision compliance. Pipeline orchestration. End-to-end audit trails. These require a full-pipeline solution.

The core question:

Unlike general-purpose tools such as Google Document AI, Ocrolus specializes in financial document processing for lending. But who automates the underwriting workflows after documents are processed?

AgentFlow automates the full lending pipeline.

AI-powered lending automation for credit unions, banks, and financial services institutions. Prebuilt Playbooks. Forward-deployed engineers. Production in under 90 days.

With Ocrolus

Document extraction — then you build the rest

Ocrolus delivers structured data as a payload via API. Everything after — validation, decisioning, compliance, exception routing — requires separate tooling or internal build effort.

  • Classification
  • Extraction
  • Analytics
  • Validation — you build this
  • Decisioning — you build this
  • Compliance — you build this
  • Reporting — you build this

With AgentFlow

Full pipeline — end to end

Every stage automated. Every AI-powered action carries a confidence score and a traceable decision path. Human review built in for flagged decisions. Adapts to Symitar, Fiserv, and Corelation.

  • Document extraction & classification
  • Data validation
  • Credit decisioning
  • Automated exception routing
  • Compliance documentation
  • Post-decision reporting
  • Full audit trail

Coverage across the lending pipeline

See where each platform's capabilities begin and end across every stage of lending operations.

Pipeline stage

Ocrolus

AgentFlow

Document classification

Core strength — 1,800+ types

Covered

Data field extraction

Core — 99%+ accuracy

Covered

Income / cash flow analytics

Core — GSE-approved

Basic via the decisioning layer

Fraud detection

Core — Ocrolus Detect

Integrated risk layer

Discrepancy flagging

Inspect (mortgage / Encompass)

Validation workflows

Condition management

April 2026 GA — mortgage / Encompass

Covered across loan types

Credit decisioning

Not covered

Core capability

Exception routing

Not covered

Automated

Post-decision compliance

Not covered

Adverse action + audit docs

Pipeline orchestration

Not covered — API-native

Core capability

Audit trail scope

Document-level

Full pipeline

Deployment

Cloud SaaS, API

Managed platform; private cloud options scoped separately

Primary verticals

Mortgage, SMB, consumer, auto

Credit unions, banks, PE

Core integrations

Encompass (primary)

Symitar, Fiserv, Corelation

Ocrolus data from ocrolus.com and press releases, March 2026, vendor-stated. AgentFlow data from multimodal.dev. All figures subject to change.

Where document extraction ends, and pipeline automation begins

Financial document processing does not end when you extract data from bank statements. It ends when the loan decision is documented and audit-ready. A document automation vendor delivers actionable data as a payload. If the steps after that — from validation to compliance reporting — rely on manual entry or disconnected software systems, the bottleneck has moved downstream.

A full-pipeline solution reduces those costs while improving accuracy across the business. The costs of building a post-extraction layer internally compound with every new loan type.

$1,700

saved per loan with lending automation

4×

fewer loan defects with high-automation vs low-automation lenders

20–60%

credit analyst productivity gains with AI-powered systems

~30%

faster credit decision-making with AI-powered technology

"There's a lot of easy decisions — there are so many easy decisions that we don't need to have a human look at it."

— Andy Mattingly, COO, FORUM Credit Union

Ocrolus's expansion: Inspect and Conditioning

Ocrolus has expanded beyond pure extraction. Two recent additions — Inspect and Conditioning — go deeper into the mortgage workflow. Here's what they add, and what they leave unchanged.

Launched 2024

Inspect

Flags discrepancies between borrower documents and Encompass 1003 data. Lenders can double-check financial records against applications before the file reaches underwriting, reducing errors in document processing.

Announced March 2026 — GA April 2026

Conditioning

Condition generation, document matching, and full lifecycle management within Encompass. Turnaround times improve for mortgage conditioning. Ocrolus is now a deeper mortgage workflow platform for Encompass-based lenders.

What this does not change

Both products are mortgage-specific and Encompass-dependent. No credit decisioning, exception routing, or pipeline orchestration for institutions on Symitar, Fiserv, or Corelation. Google Document AI handles broad extraction across industries. Ocrolus specializes in financial services. Neither covers the full lending pipeline that AI-powered orchestration platforms automate.

What AgentFlow customers have achieved

Verified production results from financial institutions running AgentFlow today.

FORUM Credit Union

Hours → Minutes

Processing time reduced

99%

Accuracy on documents processed

60%

Consumer loans automated

"There's a lot of easy decisions — there are so many easy decisions that we don't need to have a human look at it." — Andy Mattingly, COO, FORUM Credit Union

Direct Mortgage Corp.

80%

Reduction in processing costs

200+

Document types processed

"Nobody is doing what we're doing with Multimodal — not even close." — Jim Beech, CEO, Direct Mortgage Corp.

Ocrolus, AgentFlow, or both?

Choosing between a document extraction platform and a full-pipeline automation solution depends on where your bottleneck actually sits.

Choose Ocrolus if…

Your gap is extraction accuracy

  • Your bottleneck is document extraction accuracy and income analytics for financial documents and financial records
  • You are on Encompass and need the Ocrolus API for data extraction from bank statements — Ocrolus Detect covers fraud at 99%+ accuracy
  • Your existing systems already handle decisioning, compliance, and exception routing

Choose AgentFlow if…

Your gap spans the full pipeline

  • Your bottleneck spans the full pipeline across financial workflows, not just the document layer
  • You need secure integration with Symitar, Fiserv, or Corelation, and examination-ready audit trails with full security and compliance control
  • You want production deployment in under 90 days that can optimize performance and scale with your team

Use both if…

Specialized extraction + full orchestration

  • Leverage Ocrolus for specialized data extraction, cash flow analytics, and fraud detection across mortgage and small business lending
  • Use AgentFlow as the orchestration solution for decisioning, compliance, scalability, and human-in-the-loop reviews
  • Both are API-native and architecturally compatible — the two platforms are fully complementary

What NCUA examiners now expect

NCUA published a formal AI Compliance Plan and appointed a Chief AI Officer. Any artificial intelligence system influencing loan decisions must produce an auditable rationale. For institutions using a point extraction solution, the audit trail covers document processing only. Post-extraction underwriting workflows fall outside the vendor's audit scope.NCUA published a formal AI Compliance Plan and AI Resource Hub (ncua.gov/ai, September 2025). The agency appointed a Chief AI Officer (Amber Gravius) to oversee AI governance for the 2025-2026 examination cycle. NCUA's guidance aligns with the NIST AI Risk Management Framework, which means credit unions must document artificial intelligence model inputs, outputs, and governance decisions in their lending operations.

AgentFlow runs as a managed platform with customer data separated by account; private cloud options can be evaluated and scoped separately. Every AI-powered action is traceable. Users can leverage a human-in-the-loop review to validate flagged decisions. The audit trail spans the full financial document processing pipeline from intake through compliance reporting, which is what examiners are looking for.

SOC 2 Type II

Supports DORA Requirements

Customer Data Separated By Account

  • Complete Audit Trail

  • Model-Agnostic

  • Explainable AI

  • SSO & RBAC

  • Private Cloud Options

  • Human-in-the-Loop

security & trust

Frequently asked questions

What is Ocrolus used for?

Ocrolus is an AI-powered document automation and analytics platform. It extracts data from financial documents, analyzes income and cash flows, and detects fraud. The software accurately processes bank statements, pay stubs, tax forms, and unstructured documents using a human-in-the-loop model with 99%+ accuracy on processed documents. 400+ customers, ~750,000 applications per month.

How does Ocrolus compare to AgentFlow?

Ocrolus covers document processing, data extraction, and analytics for financial services. AgentFlow is a full-pipeline solution from intake through compliance. For credit unions on Symitar, Fiserv, or Corelation, AgentFlow provides accurate pipeline orchestration. Unlike Google Document AI, both Ocrolus and AgentFlow are purpose-built for lending — they solve different parts of the problem and are architecturally compatible.

Does Ocrolus offer credit decisioning?

No. Ocrolus delivers structured data, income calculations, and fraud risk signals. Lenders feed these into their own decisioning models or underwriting workflows. Credit decisioning, exception routing, and post-decision compliance reporting require a separate platform or internal build effort.

How much does Ocrolus cost?

Ocrolus does not publish pricing. Pricing is per-document or per-application via API, varying by volume and document types. Visit ocrolus.com for details.

How long does it take to deploy AgentFlow?

Typical deployment: under 90 days. The team configures Playbooks for your loan types, integrates with your core banking system, and trains the solution on your document formats. Direct Mortgage Corp. expanded to 200+ document types after initial deployment. A single platform avoids the costs of stitching together separate point solutions.

We Don't Just Read Your Documents. We Process Your Loans.

End-to-end lending pipeline automation with audit-ready compliance.

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