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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!

OrboGraph's dynamic webinar entitled Change is Inevitable - How Will You Respond? -- co-hosted with NICE Actimize -- provided fresh insight into the nature of fraud. The webinar provides information and scenarios to show how fraudsters are becoming more sophisticated in their methods of committing fraud and how incorporating new technologies like Artificial Intelligence and Machine Learning in collaboration other technologies like image-analysis and analytics-based solutions provides the best method of detecting fraud and reducing losses. Watch the webinar below.

Check Fraud Data & Trends: Industry Data and Attendee's Feedback

According to the 2019 AFP Survey, checks lead the way in fraud attempts:

The ABA Deposit Fraud Study also notes that in 2018, check fraud accounted for $1.3B or 47% of deposit account fraud losses. Additionally, the total number of attempted increased to $15.1B from 2015 to 2018.

The webinar participants agreed that multiple factors are converging in the check processing and fraud prevention area:

  • An uptick in in fraud attempts is measurable, with checks leading the pack
  • Integration of Machine Learning and/or Behavior Analysis with Image Analysis is bringing efficiencies, deterring fraudsters and preventing losses
  • It is imperative to protect bank customers better across personal and business accounts.

The data and feedback from the attendees all agree that check fraud is rising and integrating multiple technologies via a collaborative approach is the best method to reduce losses. The key? Banks must prioritize their efforts in adopting these technologies sooner rather than later to combat the rising check fraud trend.

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