Platform Modernization
OrboGraph delivers intelligent, targeted payment automation solutions that support the modernization of check processing and fraud detection platforms.
Across financial institutions, check processing and fraud prevention systems are undergoing active transformation. The goals are clear: reduce operational costs, modernize infrastructure, eliminate manual processes, enable enterprise-wide digital transformation, and minimize fraud-related losses. Platform modernization refers to the ability to evolve processes and technologies to meet today’s operational, security, and customer experience demands.
Historically, IT, hardware, and software modernization cycles in banking spanned 7 to 15 years. Hardware refresh requirements and tightly coupled software limited flexibility, while mission-critical legacy applications—often supporting multiple departments—extended timelines even further due to the scale and complexity of implementation.
Today, innovation cycles are significantly compressed. Rapid technology advancement, combined with heightened focus on resiliency, availability, and contingency planning, is accelerating platform modernization initiatives. This environment makes it an ideal time for organizations to evaluate and update legacy check processing and fraud detection platforms.
A clear example is branch and teller capture. Modern check processing platforms now provide migration paths that enable real-time fraud prevention, enhanced analytics, and streamlined deposit workflows—without disrupting existing operations.
OrboGraph’s check processing platform continues to evolve through the integration of OrbNet™ AI, advanced deep learning models, and OrbNet™ Forensic AI. Flexible cloud deployment options further enable financial institutions and technology partners to modernize at their own pace while strengthening fraud detection, operational efficiency, and future readiness.
Check Image Capture Modernization
Omnichannel image capture of checks can be highly diverse for banks. Many times, there are multiple vendors involved in the process with each workflow managed in its own silo. Consolidation of workflows is now happening via the introduction of new platforms which can run either on-premise, through a data center, or via cloud services. In this environment, check automation performance of 99%+ amount read rates and accuracy levels can reach as high as 99.8% with OrbNet AI can have a dramatic positive impact to any and every workflow.
With the introduction of our OrboAnywhere Turbo 6.0 release, financial institutions are seeing 2X to 4X increase in overall processing throughput for high volume batch processing. Additionally, Turbo 6.0 delivers 70% reduction in recognition latency, enabling faster decision-making and a better use experience for mobile RDC, ATM deposit processing, and teller capture. Latency times can now be sub 100ms depending on hardware deployed.
Check Fraud Detection Modernization
Modernizing check fraud detection is no longer just about improving rules or increasing review capacity—it requires advanced intelligence that can identify subtle, sophisticated threats in real time.
Image Forensic AI plays a critical role in this transformation by analyzing the physical and digital characteristics of check images at a granular level. Using deep learning models trained on millions of check images, image forensic AI detects signs of alteration, counterfeits, and forgery that are often invisible to the human eye or traditional fraud systems. This modern approach enables financial institutions to move beyond reactive fraud handling and toward proactive, real-time fraud prevention.
By integrating Image Forensic AI as part of a multi-layered technology approach, organizations can significantly reduce fraud losses -- achieving 95%+ detection levels, while improving operational efficiency.
