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Check out our reservoir of information related to check recognition and healthcare payment technologies. We frequently update this section with the latest news, trends, and analysis of the banking and healthcare industries.

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Platform Modernization

Both the financial and healthcare industries are undergoing modernization initiatives in check payments and remittance.  See how OrboGraph is using AI, self-learning and deep learning models to drive innovation in these industries to deliver workflow automation.

Platform Modernization

Modernizing payments in the banking and healthcare industries

AI, Self Learning & Deep Learning Technologies

Optimized AI and deep learning models for the automation of check processing and healthcare posting

Operationalizing AI & Self Learning in Checks

Revolutionizing check processing and fraud prevention for the banking industry

Delivering Healthcare Payment Electronification

Increased accuracy levels, decreased error rate for healthcare payments posting

Product Videos

See how each product/service module of OrboAnywhere and OrboAccess delivers value from our check and healthcare payment platforms

Corporate Video & Podcast

See and hear how OrboGraph incorporates AI, deep learning and self learning technologies into its product suite

Healthcare Payments

OrboAccess automates remittance and payment posting as well as enables full research and business intelligence analysis for RCM companies, clearinghouses, billers, and providers.

Access EOB Conversion

Delivers EOB/EOP electronification with information intelligence via AI and deep learning technologies

Access Correspondence Letters

Extracts posting data and tracks reimbursement progress via workflow management

Access Payment Reconciliation

Streamlines the reconciliation process of ERA, ACH, EOB and checks

Access Patient Payments

Automates patient payments for posting

Access Denial Intelligence

Spotlights trends in denials to reduce receivables via prevention

Healthcare Payments Automation Center

Scalable, reliable, flexible cloud-based hosted data center on Amazon Web Services (AWS)

Modernizing RCM with AI

An informative resource to assist RCM companies in understanding how to solve today's problems with the help of AI.

Check Processing

OrboAnywhere automates paper originated payments (i.e. checks, money orders, drafts) and remittances for balancing and posting while reducing risk and losses in the areas of check fraud, payment negotiability and compliance.

Anywhere Fraud

Transaction and image analysis for on-us and deposit fraud detection of counterfeits, forgeries, and alterations.

Anywhere Recognition

Divergent multi-engine CAR/LAR, ICR, OCR & AI check recognition for the Omnichannel

Anywhere Validate

Validate payment negotiability of paper originated items

Anywhere Payee

Match, read, and validate payees for risk and operational workflows

Anywhere Positive Pay

Payee name verification of business checks using issue files

Anywhere Compliance

Mitigate risk in check payments for OFAC, BSA/AML, UCC, Reg CC, and KYC

Restrictive Endorsement

Automatic validation of restrictive, mobile and non-restrictive endorsements

Traditional Products

Based on the Accura XV platform

Modernizing Omnichannel Check Fraud Detection

An informative blog series exploring payments fraud and image technologies used to fight financial crimes.

  • FI’s are concerned about increases in check fraud losses
  • Image analysis adds value to check fraud detection
  • Running a Proof of Concept (POC) requires minimal resources

Check fraud is a hot topic. It’s a lopsided battle, in many cases as fraudsters are becoming more technologically advanced and utilizing new techniques to steal money using counterfeits, forgeries and alterations via a more diverse deposit channel. In the meantime, financial institutions are running legacy transaction detection systems installed 10+ years ago.

In a recent survey conducted by OrboGraph, (56%) of respondents reported that check fraud within their organizations were increasing. Based on continued discussions with FI’s on a direct basis, its getting worse!

Results from OrboGraph Fraud Survey

It’s no wonder why the majority of respondents reported that they were either neutral or leaning towards unsatisfied with their current Check Fraud Prevention systems that they have in place today.

When addressing check fraud, FI’s need to combine strong data analytics with image analysis (check stock validation (CSV), automated signature verification (ASV), and alteration detection) to provide the greatest coverage and protection from today’s dynamic environment.

Why is a POC Needed?

Many financial institutions evaluate the benefits of image analysis via the use of a Proof of Concept (POC). The main goal of a POC is to identify detection rates and incremental “lift” from CSV, ASV and alteration detection.

A simple image export of real account history (including check images) paired with fraud case examples provide the data necessary to complete a POC. Once the images are received, a POC can many test cases:

  • Check Stock Verification – Counterfeit Detection
  • Automated Signature Verification – Forgery Detection
  • CAR vs LAR Verification – Amount Alteration Detection
  • Image Analysis using ALR – Pre-authorized draft/Remotely Created Check Detection
  • CAR/LAR Recognition – Inflated Amount Detection
  • Transactional Analysis – Serial/Amount Out of Range Detection
  • OCR Recognition – Payee Positive Pay for Alteration Detection
  • Payee Recognition – Account Holder Name Matching (Deposit fraud)

It’s a robust list, but additional fraud use cases can also be tested.

POC Results: What to Expect

When OrboGraph completes a POC, we provide a very detailed review of the overall impact. A summary of each test performed is provided along with “raw” score results. This way, the FI has all the data points to review and can estimate the incremental “lift” above existing transaction systems.

If the POC is successful, then the next step would typically be to:

  • Consider strategic implications to the FI
  • Start your business case based on loss prevention and operational improvements
  • Focus on most problematic use cases
  • Evaluate scoring integration with review platform and data analytic system


A POC is a valuable tool to help analyze the functions of the software, and estimate the results for the business case justification. For more information on running a POC with OrboGraph, contact

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