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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

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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

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.

Can you stop it?

  • Yes, they are mostly originated in Nigeria
  • The FTC notes that scams have increased steadily over the last three years
  • The Lesson: Don’t spend deposited funds from unknown entities until one to two weeks have passed

While instant payment channels grow and multiply by the day, fraudsters remain interested in check fraud as a “reliable” form of illegal income.

Let’s look at the classic Fake Check fraud scheme, which has not lost popularity in spite of the growth of other payment channels.

CBS This Morning

The CBS This Morning segment illustrates how easy it is to convince people that they now “have” money that they, in fact, really do not. A counterfeit check appears as a “pending deposit.” This is enough to make a large number of people believe that actually have the money in their account.

So, they send you a check for a large amount of money; that’s the fund out of which you will pay the comparatively small expenses attached to the project. If you get a check for $6545 and deposit it into your account, why shouldn’t you send a measly $1200 to the promotion company via wire to cover shipping or “installation”?

The investigation also reveals that, yes, many of the more sophisticated scams originate in Nigeria. Hard to believe, isn’t it — fraudsters from Nigeria making money off of victims in the US? Notice that we didn’t necessarily say “innocent victims,” because many willfully participate thinking that they will gain financially from a shady series of transactions.


And this is not a scam designed to take in the elderly. A look at complaints from 2015 to 2017 shows that ages 20-29 represent the “sweet spot” for the scammers.

Age        Number of Complaints
13 -17     583
18-19      1578
20-29      8977
30-39      7449
40-49      6724
50-59      7703
60-69      5783
70-79      2506
80+        1087

- SOURCE Consumer Sentinel, 2015-2017

Why is this a prime demographic? It may be because many of the schemes play upon “influencer” status that is popular in the 20-39 age group. A target is offered money to market a product via their social media accounts (or even on their car, as seen in the CBS This Morning clip), and a well-known brand-name company whose name appears right in the email and right on the eventual check will compensate them.

Another popular theme is the “mystery shopper,” and the mission is often to visit the local CVS to buy four $500 MoneyGram money orders and ship them by FEDEX. Of course, you’re using a small amount of the money “paid” to you in that check the scammers sent you.

Looks real, right? (Better Business Bureau)

However, because the bank will eventually learn from the paying bank that the check is counterfeit, the consumer will be on the hook for covering the funds that left the DDA account.

Or, as the Better Business Bureau warns on their website:

Scammers are often successful because consumers don’t realize:

Crediting a bank account does not mean the cashed check is valid.
Federal banking rules require that when someone deposits a check into an account, the bank must make the funds available right away – within a day or two. Even when a check is credited to an account, it does not mean the check is good. A week or so later, if the check bounces, the bank will want the money back. Consumers, not the fraudsters, will be on the hook for the funds.

Cashier’s checks and postal money orders can be forged.
A cashier’s check is a check guaranteed by a bank, drawn on the bank’s own funds and signed by a cashier. If a person deposits a cashier’s check, the person’s bank must credit the account by the next day. The same holds true for postal money orders. Scammers use cashier’s checks and postal money orders because many people don’t realize they can be forged.

In the above cases, banks may not be on the hook for losses. So, why should they care? Because it’s good risk mitigation practices, and money laundering could be right around the corner. Strengthening the defenses against check fraud is good for the consumer, the small business, and the corporate account.


Each fraud use case has different environmental considerations. In the case of a counterfeit as defined above, there is transaction history which can be used, along with negative image matching (using image analysis), that can identify these fraudulent transit checks. Money Order and Cashier Check profiles can be used to check for specific fraudulent attributes on these items as well as Treasury Checks. To the human eye, these items can be identified. Using image analysis with self-learning is a way to “visually inspect” these sorts of items for fraudulent attributes.

Spotting anomalies in a timely manner saves an enormous amount of trouble for the consumer and the bank, and will likely make this avenue a much less desirable target for the “fraud underground.”

To schedule a short fraud use case discussion or learn more about Anywhere Fraud, contact

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