Max Life Insurance deploys new-age underwriting and issuance system based on cloud-native architecture
Minimize fraud upfront through Shield’ predictive underwriting decision system
Strengthening the sharpness of the UW risk assessment leveraging the AI/ML technologies, Max Life Insurance developed the ‘Shield’ predictive underwriting decision system, which has helped the company minimize fraud by checking customer credibility at the application stage. The Shield model leverages 10+ machine learning models to determine the likelihood of early claims and frauds at the policy application stage. The identified high-risk policies are triggered for a differentiated UW process automatically.
Rather than rejecting claims at the payout stage, the Shield model enables Max Life to proactively identify and isolate risky, fraudulent policies. This has resulted in savings of approximately Rs 800 crores in claims payout and increased customer satisfaction scores. The Shield model also helps correlate geographical locations with risk data, given how certain areas are at a higher risk of fraud. For policies from high-risk PIN code locations determined by the Shield model, the underwriting team conducts thorough risk assessments enabling stricter underwriting controls.
“To further enhance the fraud risk assessment and prevent diagnostic centre fraud, we have built a Medicheck solution, a real-time Diagnostic Centre fraud identification system to identify fraudulent practices used for undertaking customer medicals. The solution leverages machine learning models to help identify mirror reports sent by any Diagnostic center, along with assigning a statistically calculated health score for each incoming profile, explains Ghai.
The ‘AI Works’ team at Max Life is a specialised team of Data Scientists, AI/ML engineers, and Data analysts building core AI/ML solutions. Leveraging this team over the last 18 months, it has embedded intelligence across 70% of core business processes and integrated AI-driven intelligence at every customer journey phase.
As a part of executing the data and AI-ecosystem vision, it has built and deployed industry-first solutions using a host of predictive models (machine learning and deep learning), computer vision, Speech AI and NLP techniques.
This has enabled Max Life to be recognised by business and technology forums as a front-runner in AI/ML implementations. During the last few years, the Max Life and AI Works team has won several Analytics industry-level accolades and awards for cutting-edge and industry-first AI implementations. Furthermore, it has augmented the intelligent solutions by building a unified Omni-channel customer experience platform by:
- Integrating an intelligent chatbot (MILI) with Google Assistant
- Providing WhatsApp support
- Creating an easy-to-navigate help centre on the website
- Automating responses to inquiries and emails using bots. The same has resulted in a 50% increase in overall conversational interface usage by customers while servicing their post-pandemic queries
“These initiatives, among others, have helped us reduce friction and shorten the journey time for new customer onboarding with negligible documentation work required,” he concludes.
