How Bajaj General Insurance Uses Generative AI to Resolve 95% of Customer Grievances

At the 2026 World Economic Forum in Davos, Tapan Singhel, Managing Director and CEO of Bajaj General Insurance, revealed that the company successfully resolves 95% of its customer grievances using generative Artificial Intelligence (AI) chatbots. This significant achievement highlights the growing role of AI in streamlining customer service operations within the insurance sector. Bajaj General Insurance’s adoption of generative AI enables rapid, automated responses to a wide range of customer issues, improving efficiency and customer satisfaction.

Singhel emphasized that while generative AI chatbots are highly effective, they require continuous training to maintain accuracy and relevance. AI systems can develop biases or inaccuracies over time if not regularly updated with new data and feedback. The company invests in ongoing training programs to ensure the AI remains aligned with evolving customer needs and regulatory requirements. This proactive approach helps mitigate risks associated with AI errors and enhances the overall reliability of the grievance resolution process.

The use of AI in grievance redressal also reflects a broader trend in the insurance industry towards digital transformation. By automating routine queries and complaints, Bajaj General Insurance frees up human agents to focus on more complex cases, thereby optimizing resource allocation. This shift not only reduces operational costs but also shortens resolution times, leading to improved customer experiences. Additionally, AI-driven analytics provide insights into common grievance patterns, enabling the company to address systemic issues more effectively.

Despite the benefits, Singhel acknowledged the challenges inherent in deploying generative AI. These include managing the ethical implications of automated decision-making and ensuring transparency in AI interactions. Bajaj General Insurance is committed to maintaining a human-in-the-loop approach, where human oversight complements AI outputs to uphold fairness and accountability. This balanced strategy aims to build customer trust while leveraging technological advancements.

Looking ahead, Bajaj General Insurance plans to expand its AI capabilities further, incorporating more sophisticated natural language processing and machine learning techniques. These enhancements are expected to increase the chatbot’s understanding of complex queries and improve personalized responses. The company’s experience serves as a case study for other insurers exploring AI integration, demonstrating that with careful implementation and continuous training, generative AI can significantly enhance customer service efficiency.

In summary, Bajaj General Insurance’s deployment of generative AI chatbots to resolve the majority of customer grievances represents a milestone in the digital evolution of insurance services. The company’s focus on ongoing AI training and human oversight ensures that technological innovation translates into tangible benefits for customers and the business alike.