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Client
Bajaj Allianz General Insurance
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Service
Conversational AI
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Industry
Insurance & Fintech
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Company Size
10,000+
The client
One of India’s largest general insurance companies — with a policyholder base spanning millions of individuals and businesses across the country — was facing the compounding challenge of growing claim volumes, increasingly digital customer expectations, and a human-centric service infrastructure struggling to scale. The insurance claim process — historically paper-intensive, multi-step, and requiring significant policyholder effort — had become a source of customer dissatisfaction and operational inefficiency threatening both renewal rates and the company’s NPS positioning in India’s competitive insurance market.
The problem
Bajaj Allianz’s claims handling operation was caught between growing policyholder expectations for digital, instant service and a process architecture requiring customers to navigate complex documentation requirements, multiple communication channels, and long wait times for resolution. The operational and commercial costs of this complexity — measured in call centre dependency, claim submission errors, and customer dissatisfaction — justified a fundamental reimagining of the claims experience through conversational AI.
- Incomplete Documentation Causing Claim Delays and Rework — Policyholders frequently submitted insurance claims with incomplete or incorrectly formatted documentation — the result of complex, poorly explained submission requirements — generating cycles of back-and-forth communication that delayed resolution and frustrated customers at an already stressful moment in their relationship with the insurer.
- Inconsistent Support Experience Across Multiple Customer Touchpoints — Customers interacting across the insurer’s website, mobile app, phone, and email channels encountered inconsistencies in support quality, guidance accuracy, and response times — creating a fragmented experience eroding confidence in the insurer’s ability to handle claims professionally across India.
- High Call Centre Dependency for Routine Claims Queries — A large proportion of claims-related customer contacts were routine queries about submission requirements, document checklists, and claim status — interactions consuming valuable call centre capacity without adding complexity that justified human agent involvement.
OUR SOLUTION
Worxwide implemented a conversational AI agent to handle repetitive claims queries and guide policyholders through the complete submission process — from document preparation through submission confirmation. AI-driven document validation was integrated to check completeness and accuracy at the point of submission, reducing errors before they caused delays. Omnichannel AI support was deployed to deliver consistent, context-aware guidance across all customer touchpoints, with LLM-powered workflow automation guiding users through the claims journey end-to-end.
- Conversational AI for Claims Query Handling and Document Guidance — An intelligent conversational agent handled the full spectrum of routine claims queries — document checklists, coverage questions, submission guidance, and claim status updates — providing accurate, consistent responses across all channels without human agent involvement.
- AI-Driven Document Validation at Point of Claim Submission — Real-time document completeness and accuracy validation at the point of claim submission eliminated the most common source of claims delays — incomplete documentation — by guiding policyholders to correct issues before submission rather than after review.
- Omnichannel LLM-Powered Claims Journey Automation — LLM-based workflow automation and omnichannel context retention enabled the conversational AI to guide customers through the complete claims journey — from initial query through document preparation, submission, and status tracking — maintaining context across touchpoints and delivering a coherent, professional experience.
Our work in action
The Impact
Claim Submission Time Reduced from 15 Minutes to 2 Minutes
AI-guided document preparation, real-time validation, and streamlined submission workflows reduced average claim submission time from 15 minutes to just 2 minutes — a transformation in customer effort that directly improved satisfaction at one of the most emotionally sensitive moments in the Indian policyholder relationship.
40% Improvement in Claims Query Resolution Efficiency
Conversational AI automation of routine claims queries reduced the volume reaching human agents significantly, improving overall query resolution efficiency by 40% and freeing service team capacity for the complex, high-empathy interactions genuinely requiring human expertise.
Reduced Call Centre Dependency and Operational Cost Across India
The shift of routine claims interactions to conversational AI channels reduced call centre dependency, cut average handling time per interaction, and lowered the operational cost of claims management — creating a more scalable, cost-efficient service infrastructure capable of handling growing policyholder volumes across India.
