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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)

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

Businessman with mask in office hypocrisy concept reported recent data (from West Monroe Partners) that found 77 percent of banks are already putting AI solutions to use in some way. Count Chase as one of the forefront adopters of Artificial Intelligence solutions and technology.

Chase is embracing AI and ML to help customers conduct business while preventing fraudsters from making off with data or financial assets. Andrew Sloper, head of digital identity and authentication at Chase, recently spoke to PYMNTS about how these solutions allow the bank to deliver seamless and secure user experiences while enabling a preventative approach to fraud.

“What we aim to do as a bank is keep in mind that our main focus is to protect customers, their data and their money and deliver a digital experience,” Sloper said.

Machine Learning (ML) is used to gather data and pinpoint fraud patterns, allowing a level of vigilance that is unattainable with “mere human” management. agrees that current fraud management is not up to the task of preventing fraud now that AI is available and more and more accessible. Furthermore, the personnel being deployed looking for fraud could be accomplishing something more constructive to the bank’s business longevity:

It is not too much of a stretch to imagine most of the fraud risk strategy process becoming automated. Instead of the expanding teams of today performing the same manual task continually, those same staff members could be used to spot enhancements in customer insight. suggests that organizations should ask themselves:

  • Are technology solutions/providers allowing you to scale with ease or creating more bottlenecks?

Check payments make for a strong complementary play to ML when you consider the ability to use data recognition, field validation, and image analysis on check images. By scoring the various fields on a check image captured from anywhere within the omnichannel of a financial institution, ML can be applied to these scores for unsupervised learning. The result; ML may be able to uncover various use cases illustrating checks and other paper-originated negotiable items which have common attributes — something a human could never uncover on their own!

This blog contains forward-looking statements. For more information, click here.

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