RD Global partners with insurance companies to implement world-class digital solutions that improve customer service and streamline operations.

Policy administration involves a copious amount of routine work: from quoting, rating, and underwriting to managing customer services. Implementing tools like robotic process automation (RPA), artificial intelligence (AI) and machine learning (ML) can free up around 20-30% of administrative capacity which can be deployed to more growth-focused initiatives, like providing higher quality customer care.

Underwriting requires in-depth, time-intensive risk evaluation and data management. In many cases the analysis involved in making a decision can take more than 2-3 weeks. With an appropriate digital solution, the process of data collection from disparate external and internal sources can be automated to significantly reduce the time needed to complete underwriting.

Conducting accurate risk assessment is a crucial component of insurance policy origination. It requires extensive data processing, data aggregation, and information sourcing. Smart use of hyper-automation, RPA and intelligent data analysis increases accuracy while reducing reliance on manual human labor to make policy issuance more efficient.

For many insurtech companies, SaaS applications are a key feature of their customer support and internal operations. Partnering with RD Global allows companies to outsource digital development to a dedicated team of industry experts accustomed to building best-in-class SaaS solutions for insurtech.

How quickly a claim can be processed has a direct bearing on customer satisfaction. Using digital solutions like hyper-automation makes it possible to smoothly integrate all the different tasks involved in claims processing into a uniform, automated workflow.

Across industries, digitally optimized billing systems lead to higher payments made on-time by customers. In instances where a customer fails to pay on-time, developing custom software and automating integrations to key systems can be used to automate dunning operations. With AI-assisted data analysis, companies can also predict which customers are most likely to pay late and reach out to them before they default on a policy.