RiSIC redefines the possibilities of real-time cost saving and efficiency by harnessing continuously improving machine learning technology.

RiSIC is powered by machine learning

Unlike conventional rules-based systems, RiSIC uses machine learning to constantly adapt, improve and optimize. Every successful resolution improves performance and cost saving potential for the next transaction. RiSIC also doesn’t have the weakness that rules-based systems suffer from – where they’re only as good as their programmer. RiSIC learns on the job, and improves by the minute.

RiSIC makes human decision-making easier

RiSIC helps people make better decisions but doesn’t arbitrarily decide itself. By constantly analyzing case outcomes, the RiSIC engine flags up claims that do not match the predictions. RiSIC also learns from doctors’ diagnosis and claim decisions to become even more effective over time.

RiSIC gets up and running without costly re-engineering

RiSIC doesn’t require costly and disruptive integration, nor does it require modifications to existing IT infrastructure. RiSIC is Software as a Service (Saas), which eliminates capital investments (CAPEX) for our clients.

RiSIC has been fine-tuned for medical claims

RiSIC uses models directed to the practices in the region. These are then trained by feeding  them with local datasets on claims, decisions and medical reports. This makes RiSIC the region’s leading, and most effective, machine learning solution for flagging up contentious cases that might require human intervention.

RiSIC Claims Processing

RiSIC is always customized for your business

Before we implement RiSIC, we feed the machine learning engine with your historical data, and tune it for your business-specifics. This means your RiSIC engine starts its first day on the job already understanding the local market nuances and unique claims patterns that your business deals with.