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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

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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

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.

  • The federal government has created a helpful anti-fraud page
  • The site contains PROACTIVE as well as REACTIVE solutions
  • Check fraud attempts continue to grow, necessitating consumer vigilance

The Office of the Comptroller of the Currency (under the jurisdiction of the US Department of the Treasury) has rolled out an easy-to-use check fraud and forgery resource at that represents a valuable and easily accessible tool for banks and their customers.

The page describes a series of common scenarios linking to easy-to-implement solutions, giving banks a useful and powerful ally in solving and preventing these crimes.

The site is, in fact, a great primer for individuals and businesses to review before finding themselves in a sticky situation.

An example:

The Fraud and Forgery page.

PROBLEM: My bookkeeper handled all of my business's deposits and balanced the monthly statements. He stole some checks payable to the business and forged the endorsement, which the bank honored. What can I do?

ANSWER: Even though a bank pays over a forged endorsement, it is the account holder's responsibility to discover the problem and notify the bank.

There is very little the bank can do to protect you from the actions of your employees. It is your responsibility to have separation of duties — for example, the same person should never make the deposits and balance the monthly statements.

If you have an account with multiple forgeries (e.g., stolen checks), you should consider closing the account.

Other examples include:

  • I was passed a fraudulent cashier's check. What should I do?
  • The bank paid a check when it was obvious that the signature was not mine. Why didn't the bank catch this?

And, the now-classic...

  • A company sent me a check that supposedly was for lottery winnings. The company told me to cash the check and to return some of the money to cover processing fees. I deposited the check, but it turned out to be fraudulent; the bank then stated that I had to repay them. What can I do?

Given the growing pervasiveness of fraud in general -- and check fraud in particular -- an easily accessible information source like this is the right idea at the right time! Educating customers on the different fraud scenarios and schemes is a critical component in stopping fraudsters (check out previous articles on Costco Scam and the Classic Check Fraud Scheme Targeting Millennials).

In addition to educating its client base, banks need to assess their current fraud procedures and technologies to ensure they are deploying the right tools to protect themselves and their clients. Recently, we featured a webinar with NICE Actimize on how collaborative efforts via machine learning and image analysis appear to be the key to winning the fight against fraud. Image analysis represents the visual factor, while machine learning drives the behavioral component. When combined via collaborative systems, financial institutions have a potent defense against all.

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