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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.

As part of a recent series of blog posts about Intelligent Automation, Adam Swinglehurst of Accenture offered the chart below to illustrate the necessary “overlap” as AI solutions develop and improve.

Source: Accenture, March 2019

The role of intelligent automation is important to Chief Financial Officers (CFOs) across the globe. CFOs seek to drive efficiencies, create team capacity, meet new regulatory requirements, accelerate the month end close and reduce their finance footprint while still delivering a service focused on operational excellence.

While many CFOs are turning to intelligent automation to help them meet these goals, we find that they are at different points on the automation journey. CFOs may have started the processes of identifying and implementing automation opportunities, but only a few are tackling larger programs.

Mr. Swinglehurst goes on to list several main factors that determine effective adoption:

Create and Communicate Vision. Implementing an effective intelligent automation program requires sustained commitment from the business and IT throughout the development and deployment lifecycle. C-suite sponsors should enthusiastically and clearly communicate their vision for a virtual workforce to all levels of the organization. Realizing such a vision requires buy-in from key stakeholders across the business.
Seek the Full Spectrum of Benefits. For greater impact, firms should not only identify processes suitable for automation but should also map current resource use and forecast future resource requirements. Intelligent automation can help to meet not only current process demand but also future demand (in relation, for example, to upcoming regulatory requirements). Only when considering current and future demand can a firm be confident that any planned process automation can generate the most benefits. Firms should seek – on an ongoing basis – to apply intelligent automation to existing processes. Accenture has developed a prioritization tool that assesses both the viability of process automation and the potential benefits associated with it.

These two factors are clearly on the minds of IBM and Bank of America as they team up to adopt financial services-specific cloud technology.

Bank of America has focused on its internal cloud computing capabilities. Over the past several years the second largest U.S. bank has gotten down to about 70,000 servers from over 200,000 and trimmed its data centers to 23 from 67.

Streamlining those operations has saved $2 billion annually, Chief Executive Brian Moynihan said on an earnings call last month. However, the bank still relies on cloud services from external vendors since third parties can usually offer the service 23%-30% cheaper, he said.

“We don’t need to own the hardware,” he said. “We just need to find out who can provide it the right way.”

We couldn’t agree more with the key takeaway: Investing in cloud computing is key for banks as more transactions become digital, and it’s critical that the platform can transfer information quickly, keep data private, and prevent service outages. At the same time, there are substantial economic advantages in leveraging outside vendors. OrboGraph continues to be cloud-ready for all applications involving check recognition, payment validation, and check fraud detection.


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

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