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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

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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.

We love this time of year! It’s a week when everyone the payments industry can take a deep breath, celebrate successes, reflect, and then blog about the future. And now that 2020 is upon us, what better time to “look ahead” toward 2030! is one of the first publications to make a prediction related to payment trends for the next decade. Of the seven trend lines, we think these are most critical to our business partners and clients:

  • #5: The Massive Monetization Of Payments Choice
  • #1: Rapid Acceleration Of Cash To Digital Payments

#5: Over the last decade, on the retail side of payments, merchants waited to expand checkout choice until they felt that sales were at risk if they didn’t. On the B2B side of payments, acceptance by suppliers of anything other than a check or ACH payment often came through brute force. The larger the enterprise, the more demanding the supplier onboarding process becomes, and many simply defaulted to the paper check, particularly for one-off or infrequent ad-hoc payments, including disbursements. Today, the paper check still drives well more than half of all payments made between businesses – a percentage that’s even higher when small businesses pay each other.

#1: In developing and emerging economies, thin-feature, phone-friendly apps will give way to more robust apps and ecosystems that power shopping and buying online, paying bills, banking…

When nearly every phone is capable of conducting a transaction and nearly every adult human on the planet is capable of engaging in digital commerce, there will naturally be a spike in demand to digitize cash and take advantage of a connected digital ecosystem that was once totally out of reach.

This is happening even faster than we anticipated.

Market Driven Choice:

The prevalent theme in this article is the battle for market share and profits. A cycle of offering innovation choices, monetizing the value proposition, and converting to market share is the ultimate construct for our capitalistic society.

Choices implies change — but it also means consumers and business may not change unless there is a compelling argument to do so.

What can we expect for the next decade (2020 – 2030)?

  • There will be more choices for consumers and businesses
  • Cash will become the target of mobile payment apps and drive greater acceleration to digital for consumer
  • New innovations will drive B2B activities…but those darn checks will continue to persevere due to two very important points: choice plus process innovation.

Innovation comes in the form of new payments, but it also is delivered as process reinvention to legacy payments. Stand by — OrboGraph will soon announce a new revolution in Intelligent Payment Automation, enriching the safety, cost effectiveness, and reliability of digital image (paper-originated) transactions through the use of AI, machine learning, and deep learning technologies.

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

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