SilverBridge and Astute Financial Services Exchange have partnered to deliver a fully automated intelligent claims processing solution.
The system uses Artificial Intelligence (AI) modelling of insurer expert decision-making which enables claims to be processed in real-time while providing maximum risk oversight.
“Astute has a proven reputation within the insurance industry for delivering extremely valuable risk scoring metrics to assist with risk mitigation when onboarding customers or processing claims. For our part, SilverBridge has extensive experience in developing solutions for the insurance industry with expertise in automating and simplifying complex business processes as well as providing AI components to virtualise human decision-making,” said Patrick Ashton, Managing Executive, SilverBridge.
Bringing full automation to the claims process, which includes risk scoring and an intelligent decisioning, to assist insurers with straight-through processing (STP) of claims is seen as extremely valuable. The collaboration between the two companies will result in improved risk processes and a better customer experience.
Jacques Rossouw, Group CEO, Astute, said: “The fast-paced evolution of technology-savvy customers increases the demand for insurers to improve responsiveness and service efficiencies, specifically when it comes to onboarding and paying out claims. Combining the Astute and Silverbridge core strengths provide insurers with an efficient single solution, turning data into wisdom, to proactively combat insurance fraud and deliver world-class service at the same time.”
The solution includes direct integration into an insurer line of business system, Astute RMS scoring of the claim and all parties associated with the claim.
In addition, it features South Africa’s Department of Home Affairs Verification of Personal Details (VoPD) of relevant claim participants and SilverBridge AI models to create claim decisions as to whether to pay, decline, or refer claims.
“The AI modelling process virtualises expertise of the best decision-makers at an insurer thereby ensuring expert attention can be given to every claim processed within the organisation. These models are continually assessed to ensure they make the best decisions possible. They can quickly be retrained and redeployed in reaction to market changes with no impact on existing business processes,” added Ashton.
Initially, the solution is being rolled out to selected insurers on a proof of value (PoV) basis. This is designed to ensure the value to the insurer within the business process is evident. The PoV is designed to use production data for limited types of claims before rolling it out to support additional claim types.
“We have had positive initial engagements with insurers and identified many manual components within the claims process which create operational inefficiencies and have an impact on customer satisfaction levels. The improved risk mitigation of the solution will be invaluable for those risks within industry data that are not always accounted for. Automating the decisioning process will improve customer experience as there is no internal bottleneck waiting for human experts to manage the process,” Ashton said.