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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 and Deep Learning-Based Check Processing

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 for any check image capture workflow.

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

Resources

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.

Blogs

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!

Automation – NOT Replacing Humans

If you are a reader of American Banker, you may have come across "Leaving the ‘numbing’ tasks to machines" (fear not, you can access the article free through a guest account.) The article addresses a common misconception that automation -- and the underlying technology such as Artificial Intelligence and Machine Learning -- is here to replace humans.

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Put simply, this is NOT the goal of automation. Much of the misconception originally stems from factory workers being replaced by robots in manufacturing. However, for the banking and healthcare payments industry, automation is here to alleviate employees from the burden of "numbing" tasks, freeing them for more rewarding responsibilities.

Let's take a deeper dive on how automation is leveraged in check processing, check fraud, and healthcare payments industries.

Check Processing Automation

Only a few years ago, banks and their fintech vendors were leveraging OCR technologies that peaked at 85-88% read rates. That meant that out of 1000 checks being processed, a teller or a back-office employee would need to manual key 120-150 checks. This might not be a huge burden for a smaller bank or credit union, but for mid-sized to larger financial institutions, this is a huge load.

However, with deployment of AI and ML technologies for check recognition, we are seeing read rates of 99% with accuracy levels over 99.5% -- reducing the "numbing" task of manually keying checks to nearly zero. This enables tellers to engage the clients and improve customer service, and bank-office employees can focus on revenue generating tasks.

OrbNet AI Check Header v2-01

Focused Check Fraud Review

We have noted in Modernizing Fraud with AI the issues that arise from fraud analysts needing to review thousands of flagged items. This task takes an enormous amount of time and effort from fraud analysts to ensure that the check payments are not counterfeited, forged, or altered -- particularly from banks that process thousands of checks daily.

Stop Fraud OrbNet Forensic AI-01

The emergence of image-analysis technology leveraging forensic AI is alleviating the burden by reducing the amount of false positives needed to be reviewed. This lowered the number of items fraud analysts are manually reviewing, instead focusing on the items that require human intelligence.

Revenue Cycle Automation

Healthcare continues to be fraught with paper documents which contain important and essential information. However, to extract this data manually is a task that is burdensome and would take a superhuman effort to complete with no errors.

That's where integrating Machine Learning technologies plays a huge role in granting healthcare workers and RCM servicers "superpowers" to complete these tasks at a superhuman efficiency level.

Healthcare organizations and RCM servicers need to understand how they currently process paper remittances/EOBs and correspondence letters. In many cases, these processes are relying heavily on manual data entry -- when Machine Learning technologies have the capability to electronify these documents faster and with fewer errors. Furthermore, electronification of these documents can then be imported into their systems to streamline the payments process and also be utilized for business intelligence.

future healthcare with OrboAccess Logo-01

It's time that the banking and healthcare payments industries put the notion that "AI and ML technology is replacing humans" to rest. These technologies are here to automate tasks, alleviating the burden from employees and, in some cases, granting these humans "super powers."

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