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Bajaj Life’s digital kitchen: Cooking up an AI-first insurance experience

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In the world of hospitality, the best food brands succeed not just because of taste, but because they deliver consistency, convenience, and trust at every touchpoint. Whether a customer walks into a flagship restaurant, orders online, or uses a quick-service kiosk, the experience feels seamless.

That is precisely how Bajaj Life Insurance is reimagining insurance operations.

At the centre of this transformation is Rajesh Krishnan, Chief Operations & Customer Experience Officer, who believes the future of insurance lies in blending digital intelligence with human empathy. Under his leadership, Bajaj Life has crossed 80% digital penetration, rolled out AI-led underwriting initiatives, modernised customer servicing through WhatsApp and self-service platforms, and become the first insurer in the industry to implement IRDAI’s Bima ASBA mandate in March 2025.

But beyond the technology, the company’s larger ambition is clear: making insurance frictionless, transparent, and deeply customer-centric in an AI-first economy.

Building the digital foundation

According to Krishnan, Bajaj Life’s digital evolution began with a simple vision — creating delightful customer experiences.

“From a manual setup, we have evolved into a digital-first organisation aligned with IRDAI’s vision of ‘Insurance for All’ by 2047,” he explains.

The transformation has been powered by several foundational technology initiatives. The company introduced digital kiosks across branches, integrated QR-based services, enabled penny drops within workflows, and simplified authentication using eKYC and Aadhaar-linked OTP integrations.

These changes significantly reduced dependency on physical servicing while encouraging customers to embrace digital channels as their preferred touchpoints.

One of the standout successes has been the company’s WhatsApp platform, which customers now extensively use for tasks such as updating personal information, downloading documents, and even applying for loans against policies.

Simultaneously, Bajaj Life is undergoing a core platform transformation designed to simplify customer journeys and create scalable digital infrastructure.

“Technology transformations are always challenging,” Krishnan notes, “but they have unlocked new engagement opportunities.”

The company has digitised claims processing, introduced paperless underwriting, embedded journey-specific links, automated several workflows, and built a plug-and-play enterprise architecture that enables personalised customer experiences at scale.

The outcome has been tangible: reduced branch dependency, increased digital penetration, faster servicing, and significantly improved convenience.

AI moves from experimentation to scale

If digitalisation laid the groundwork, artificial intelligence is now accelerating the next phase of Bajaj Life’s operational strategy.

“At Bajaj Life, our AI strategy is built around intelligence-driven automation that makes experiences faster, simpler, and more intuitive,” says Krishnan.

Over the past two years, the company has transitioned from isolated AI experiments to enterprise-wide deployments across multiple business functions.

Among the most impactful implementations is AI-powered case summarisation for underwriters, which removes repetitive manual work and speeds up decision-making. The insurer has also introduced a GenAI-powered “Smart Pitch” capability that simplifies document collection during high sum assured closures.

These initiatives have reduced turnaround times while enabling operational standardisation, scale, and higher-quality outcomes.

The company is also rolling out GenAI-led communication systems within contact centres, AI-powered bots that support employees and distributors with instant responses, and auto-issuance solutions that further streamline customer engagement.

Importantly, many of these systems began as pilot projects before being scaled into production environments.

The next frontier, Krishnan says, is fraud risk detection and deeper AI integration across customer, employee, and distributor journeys.

Yet despite the growing automation, Bajaj Life is careful not to lose sight of the human side of insurance.

“The vision is to embed AI in every layer of the journey without losing human empathy,” he emphasises.

Transparency becomes the product

Insurance has traditionally struggled with customer engagement, often relying on brick-and-mortar servicing models and delayed communication cycles.

Bajaj Life’s answer to this challenge is its Smart Communication Tracker — a system designed to provide customers with real-time visibility into service requests.

“The customer segment is evolving rapidly and demanding convenience and transparency,” Krishnan says.

The tracker eliminates the need for customers to repeatedly follow up on requests. Instead, users receive end-to-end visibility into the status of their requests, expected resolution timelines, and document requirements.

Customers can also upload additional documents seamlessly through the system.

What makes the initiative especially impactful is its omnichannel integration. The Smart Communication Tracker is available across the company’s mobile app, customer portal, and WhatsApp platform.

Krishnan describes it as “high-level engagement without the need to engage.”

In essence, transparency is no longer treated as a standalone feature — it is becoming a defining characteristic of the customer experience itself.

Omnichannel, inspired by the food industry

Perhaps the most relatable analogy Krishnan offers comes from the food business.

“Think of it like a food brand that has retained and grown its customer base across outlets by ensuring consistency in taste, hygiene standards, and ways of working,” he says. “That is what omnichannel truly means.”

For Bajaj Life, omnichannel is about delivering a unified experience regardless of whether the customer interacts through the app, portal, WhatsApp, or assisted channels.

The strategy is especially critical in a market as diverse as India, where customer expectations and digital literacy vary widely across age groups and geographies.

The company has therefore focused on ensuring service parity across all channels. Key journeys such as updating personal details, servicing loans against policies, and processing claims are now available everywhere.

The insurer is also personalising experiences based on user behaviour. Customers receive guided conversational flows through WhatsApp, personalised app recommendations, and journey-specific links at assisted touchpoints to help them quickly transition toward self-service models.

The result is an ecosystem designed for inclusivity — catering equally to tech-savvy youth, senior citizens, NRIs, and customers in underdeveloped regions.

AI-led underwriting and operational efficiency

While AI-led underwriting is still evolving, Bajaj Life has already begun integrating intelligent automation into critical underwriting stages.

The company is using AI for interpreting customer documents, automating repetitive checks such as CKYC and EKYC verification, digitally collecting documents, and summarising customer profiles for faster assessments.

This reduces manual intervention and shortens turnaround times significantly.

Beyond process automation, analytical models powered by machine learning are also helping improve risk assessment accuracy.

By extracting insights from electronic health records, AI systems can predict mortality risks with greater precision, enabling insurers to tailor premiums more accurately according to individual risk levels.

The business impact is substantial: lower operational costs, improved underwriting efficiency, and better customer experiences.

Bima ASBA: Reinventing policy issuance

Bajaj Life recently became the first insurer in the industry to implement IRDAI’s Bima ASBA mandate in March 2025 — a move Krishnan describes as a “game changer.”

The UPI-based mechanism changes how premium payments are handled during policy issuance.

Instead of debiting the customer upfront, the amount remains blocked in the bank account and is only deducted after underwriting is complete and the policy is issued.

This approach eliminates refund delays, allows customers to continue earning interest on their money during processing, and removes anxiety associated with premature debits.

Operationally, it also reduces backend complexity.

Since payments are only collected after application acceptance, there is no need to process refunds for rejected policies. This eliminates refund dependencies, streamlines workflows, and accelerates policy issuance timelines.

The result is a frictionless payment experience that benefits both customers and operations teams alike.

Preparing a multi-generational workforce for an AI economy

For Bajaj Life, digital transformation is as much about people as it is about technology.

Krishnan describes the organisation as a vibrant mix of generations — where experienced professionals contribute deep domain expertise while younger employees bring fresh perspectives and stronger technological fluency.

To strengthen this balance, the company is actively investing in AI skill development.

Initiatives include establishing AI champions within teams, expanding exposure to enterprise-grade GenAI and Agentic AI systems, and hiring talent with prior AI implementation experience.

At the customer level, the insurer continues to improve usability across its app, portal, chatbot, and WhatsApp ecosystem while using personalised nudges, contextual notifications, and event-based alerts to encourage digital adoption.

Importantly, the company also supports less digitally confident customers by sharing guided journey links at assisted touchpoints, helping them complete transactions independently while gradually building trust in self-service systems.

Defining the future of insurance

Looking ahead, Krishnan believes the future-ready insurance company will be defined by one central idea: “Service as a differentiator.”

He sees AI, automation, analytics, and digital public infrastructure as powerful enablers for expanding insurance access to underserved populations across India.

Technologies such as multilingual self-service systems, AI-driven claims servicing, digital distribution platforms, UPI, and the Account Aggregator ecosystem are already reshaping accessibility.

At the same time, data and analytics are enabling more personalised, need-based insurance products that improve customer relevance and adoption.

For Bajaj Life, however, technology alone is not enough.

Krishnan believes success in an AI-first economy will come from combining intelligent automation with a strong sense of purpose, customer-centricity, and operational empathy.

“We believe that an amalgamation of these technologies into day-to-day operations, while keeping customers at the centre of everything we do, will help us stand out as an AI accelerator,” he says.

And much like the most successful food brands, Bajaj Life’s strategy appears rooted in consistency — delivering the same trusted experience everywhere, every time, powered increasingly by intelligence behind the scenes.

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