Revolutionizing check processing and fraud prevention for the banking industry
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.
Experience the excitement of previous tech conferences through pictures and video
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!
In this healthcare-focused blog publication, we cover payment and remittance topics affected by electronification, provider receivables, COVID-19, denials management, and various payer reimbursement topics
This user case study provides healthcare payments professionals with a real-world instance of a RCM company deploying a hybrid electronification solution to improve efficiency and cost savings, but providing a higher level of customer satisfaction to their customer base.
As fraudsters continue to evolve their tactics, it is important to understand what acts of fraud are being committed and what actions banks are taking in order to combat fraudsters. These real-life examples provide much needed clarity into not only the acts of frauds, but also the types of perpetrators and their situations.
There are three types of perpetrators which emerged from our individual bank discussions:
Small Fraud Rings
Large Fraud Rings (many international)
This document summarizes the perpetrator use cases we discovered in our client research. We created this document for our current and prospective customers to illustrate how image analysis fraud detection can detect various flavors of counterfeits, forgeries, and alterations above and beyond transactional analysis. We hope you find value in this document.
Watch the 4-minute video interview of Joe Gregory, VP Marketing of Orbograph, and A.J. Johnson, General Manager of NHXS, division of TriZetto, a Cognizant company by Health Data Management. Topics include hot topics of Revenue Cycle Management & Explanation of Benefits Conversion.
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