AI in Insurance: Resolution Life's AI Journey with Rajesh Malla

Name: AI in Insurance: Resolution Life's AI Journey with Rajesh Malla
Uploaded: 2022-11-28
Duration: 21 min
Description: Resolution Life's Rajesh Malla on building a claims triage model with H2O Driverless AI that classifies a claim within 15 seconds of submission.

Observability
H2O Driverless AI
H2O Hydrogen Torch

Overview

Rajesh Malla of Resolution Life, one of Australasia's largest life insurers, walks through how the company used H2O Driverless AI to build a claims triage model. The talk covers the business problem of slow, manual claim segmentation, how the model now classifies a claim within 15 seconds of submission, and the measured jump in accuracy and cost savings over the in-house model it replaced. He also outlines where the team plans to extend H2O next, from call center reason prediction to a product knowledge library.

Key takeaways

Why claims triage was a bottleneck: manual segmentation that could take a case manager a day to a week per claim
How Resolution Life deployed an H2O Driverless AI Mojo model on Snowflake, running on Azure, to segment claims within 15 seconds of submission
The measured accuracy gain: from 71% with the prior in-house model to 77% with H2O, built in roughly a quarter of the development time
The estimated financial impact, described as roughly double the value of the in-house model it replaced
Where the team is expanding next: predicting call center contact reasons, and using Hydrogen Torch to build a product disclosure statement knowledge library

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