Guide

How AI and ML can improve claims efficiency and customer satisfaction

Post-webinar report developed in collaboration with Intelligent Insurer

key learnings

[1]

How process automation in insurance is augmenting the claims process

[2]

The role emerging technologies are playing in accessing new forms of data

[3]

Insights from claims leaders at Axa, Generali and Zurich on how to integrate the tech to drive greater efficiency and customer satisfaction

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Changing market dynamics are driving an automation revolution within the insurance industry. The ability for insurance companies to deliver faster service, greater transparency, and increased control begins with data.

 

Yet, the insurance industry today continues to struggle with the first mile of data processing. Firms are relying on a complex patchwork of outdated, legacy technology and cumbersome, manual processes. This creates an information and operational bottleneck that affects all downstream processes, preventing customers from getting the experience they deserve. It also jeopardizes an insurance organization’s competitive position.

 

Insurance leaders everywhere are rethinking their existing operations, leveraging the latest technologies to reduce manual work, streamline processes, unlock employee capacity, and enhance the overall customer experience. Intelligent automation technologies that utilize Artificial Intelligence and Machine Learning are becoming the critical driver to higher quality data and faster, more reliable insurance processing and decision-making – whether that’s handling a claim or processing an application.

 

Change is always a challenge, and it takes time to fully integrate new tech. But, by focusing on the tips and best practices mentioned here, you can help your firm become more agile and responsive to future needs.

 

Download this report for insight into the cutting-edge technologies insurers are using to streamline claims processing and improve customer experience.