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ALM Media, LLC

Josh Gazes, Senior Vice President – Operations

British Gas

Jess Johnson, Head of Operational Excellence

Mosaic Insurance

Mitch Blaser, Co-CEO

Mosaic Insurance

Krishnan Ethirajan, COO

Oxford Nanopore Technologies

Jason Hendrey, Senior Director, Global Customer Services

WS Audiology (WSA)

Christof Steube, Director of Finance Excellence

Kiwi.com

Leonard McCullie, Director, Vendor Management

Kiwi.com

Petra Reiter, Vice President, Customer Services

Flight Centre

Aaron Fadelli, Business Leader

Healius Pathology

Alex Cook, Head of Finance Operations

Varo Bank

Breanna Rivers, Partner Performance Manager

Yorkshire Building Society Group (YBS)

Jessica Lockwood, Process Automation Manager

WS Audiology (WSA)

Sharang Patil, Director of Group Finance Excellence

Priya Madan Mohan, VP for Group Accounting & Controlling

United Airlines

Chris Kenny, VP and Controller

GFG Alliance

Phillip Irish, General Manager, Shared Services Delivery, Quality & Governance

Energy Australia

Steve Corden, Outsource Operations Leader

Delaware North

Christopher Lozipone, Senior Vice President and Global Business Services Head

Moneycorp

Nick Haslehurst, Chief Financial & Operating Officer

Prodigy Finance

Nico Barnard, Head of Operations

M&T Bank

Chris Tolomeo, Senior VP & Head of Banking Services

Minerals Technologies Inc. (MTI)

Khem Balkaran, CIO

Church's Chicken

Louis J. Profumo, CFO & EVP

AI Solution for Complicated Claims Improves Worker Efficiency and Customer Service

Read | Mar 28, 2023

AUTHOR(s)

A WNS Perspective

Key Points

  • Multinational insurer Zurich was looking to digitally transform their claims management system

  • Zurich and WNS co-created an AI-led solution to simplify, streamline and re-structure the claims management system

  • The enhanced workflow quadrupled the speed of liability decision-making system, and improved employee and customer satisfaction scores

FAQs

1. What is AI-powered claims management and how does it improve insurance operations?

AI claims management uses artificial intelligence to streamline claims assessment, routing, decision-making, and customer interactions. It helps insurers distinguish straightforward claims from complex cases, automate repetitive activities, and direct expert attention where needed. This improves operational efficiency, accelerates claim resolution, reduces manual workload, and supports a better customer experience.

2. How can artificial intelligence accelerate liability decision-making in insurance claims?

AI claims processing can accelerate liability decision-making by analyzing relevant claim information, applying predefined rules, and supporting faster assessment of liability. In the WNS and Zurich transformation, workflow improvements and AI capabilities helped streamline the decision-making process, enabling employees to handle claims more efficiently while reducing delays associated with manual processing.

3. What are the benefits of automating complex insurance claims workflows with AI?

Insurance claims automation helps insurers manage complicated workflows by reducing repetitive manual tasks, improving claim routing, and enabling faster decisions. It allows straightforward claims to be handled efficiently while directing complex cases to specialized employees. This can increase productivity, improve process consistency, reduce operational effort, and enhance service quality for policyholders.

4. How does AI improve employee productivity and customer experience in claims management?

AI in insurance claims improves employee productivity by automating repetitive activities and helping employees prioritize complex cases that require specialized judgment. At the same time, digital channels and automated interactions can make claims services faster and more convenient for customers. This combination helps insurers improve operational performance while delivering a more responsive customer experience.

5. What challenges can insurers solve using intelligent claims automation solutions?

Intelligent claims automation can help insurers address challenges such as lengthy claim processing times, inefficient workflows, inconsistent case routing, and excessive manual effort. AI-based solutions can categorize claims, automate suitable processes, and route complicated cases to experts. This enables insurers to improve efficiency, accelerate decisions, manage workloads effectively, and strengthen customer service.

6. How did WNS and Zurich co-create an AI-led claims management solution that improved operational efficiency?

The WNS AI claims solution was co-created with Zurich Claims UK as part of a broader claims transformation initiative. The approach redesigned workflows, segmented claims into express and expert categories, and introduced AI-led capabilities for liability assessment. These improvements significantly accelerated decision-making, increased employee efficiency, and contributed to better customer and operational outcomes.

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