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AI Innovation

Both the financial and healthcare industries are undergoing an AI evolution. Review our vision for Artificial Neural Networks (ANN) and deep learning targeting these industries.

AI-Based Check Automation

Check recognition & fraud detection are the most important components in today's check processing and omni-channel capture. Learn how OrboAnywhere using OrbNet AI technology reduces costs and mitigates risk.

AI-Based Healthcare Electronification

OrboAccess, powered by OrbNet AI, provides electronification to remits and payments, enabling RCM companies to automate posting, improve research, and deliver business intelligence

About Us

Celebrating 25 years of innovation, OrboGraph has transformed into an AI company delivering targeted automation solutions to the banking and healthcare industries.


From news and events to case studies, trends, and videos, this section provides a range of information resources for payment automation in the banking and healthcare industries.


OrboGraph produces four blog series on a weekly basis covering topics from check processing, fraud prevention, AI technologies, RCM, and healthcare electronification. Select one the blog to the right. We hope you enjoy!

Modernizing Omnichannel Check Fraud Detection

An informative blog series exploring payments fraud and image technologies used to fight financial crimes.

Nice Actimize & OrboGraph Webinar

Integration of Machine Learning and Image Analysis is Vital

  • Checks remain a ripe target for fraudsters
  • So far, we're winning the battle
  • It will require collaboration between image analysis and machine learning to remain successful

OrboGraph recently co-hosted with Nice Actimize a dynamic webinar entitled Change is Inevitable - How Will You Respond? Along with OrboGraph's Joe Gregory, Allegra Angus and Nithin Mangalore of Nice Actimize discussed with attendees different aspects of check fraud trends, best practices for combating check fraud, including incorporating machine learning and image analysis.

Key findings and discussion points include:

  • According to the 2019 AFP Survey, 70% of attempted and/or actual payments frauds were perpetrated via check -- far ahead of second-in-line Wire Fraud, which stood at 45%
  • Fraud against bank deposits accounts amounted to $25.1B in 2018, up from $19.1B in 2016 according to ABA estimates
  • The nation's banks stopped $22.3B in fraudulent transaction (almost $9 out of 10$) according to the ABA
  • Why banks are deploying tools and collaborative measures available to identify check fraud attempts before they become liabilities to banks or their customers

Consensus: Check Fraud Attempts Will Increase

The responses from webinar attendees were also very interesting when they were asked whether they expected to see increases in fraud losses:

  • 21 of 32 respondents stated that they thought check fraud attempts would increase in 2020
  • 11 of 29 thought their organization would see increases
  • 10 of 29 thought would stay the same
  • 8 of 29 thought the would see loss declines

With AFP reporting that 70% of payment methods that were targets of attempted and/or actual payments fraud in 2018 and the ABA Deposit Account Survey noting that, in 2018, check fraud accounted for 47% ($1.3 billion) of industry deposit account losses, a rise in check fraud attempts and losses would have tremendous impact on banks.

Looking Forward

The bottom line as explicated by the webinar's participants and presenters seemed to be that check fraud in its myriad forms is a force to be reckoned with, and it's more important than ever for financial institutions to keep their tools up to date. Joe Gregory pointed to trends in the recent past that showed periods where legacy systems simply could not keep up, leading to spikes in successful fraud transactions.

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 represents the behavioral component. When combined via collaborative systems, financial institutions have a potent defense against all.

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