Rewriting Insurance for the Digital Age

By Sandeep Kushwaha, Senior Vice President and Head of Analytics at Bandhan Life Insurance

The process of buying insurance has traditionally been complex. Long proposal forms, medical tests, document submissions, and weeks of underwriting review have defined the customer journey. Claims, too, have often been slow and paperwork-heavy. That model is now under pressure. A surge in connected devices, the rise of shared data ecosystems, and rapid advances in artificial intelligence are reshaping the insurance value chain. Pricing, underwriting, and claims are being redesigned. At the same time, new product and distribution models such as parametric and embedded insurance are changing how coverage is structured and delivered.

Reinsurers are adapting as well. Reinsurance is no longer only about transferring risk upward; it is increasingly about providing risk intelligence, analytics capability, and capital optimisation in a more volatile environment.

Customer expectations are shifting just as quickly. The focus is moving from “service” to “experience.” Customers expect integrated financial solutions aligned to their life stage and lifestyle, frictionless digital onboarding, transparent claims, and 24x7 access through digital platforms.

These shifts are not cosmetic. They are structural.

The New Age of Underwriting

The number of connected devices and the volume of signals generated from them are growing rapidly. Smart homes, telematics-enabled vehicles, wearables, medical devices, and other sensors generate continuous data streams. This allows insurers to assess risk at a far more granular level.

Shared data ecosystems are accelerating this change. With customer consent, alternate data can be accessed to speed up underwriting and validate claims. For example Identity can be verified digitally, Financial information can be corroborated through bureau data. Health information can increasingly be sourced electronically rather than through repeated physical tests.

These technology transformations are driving the new age of underwriting, a shift from traditional data to alternative data-based underwriting. Digital footprints and behavioural analytics are strengthening fraud detection. While predicting complex health risks purely from alternative data remains challenging, AI models can identify patterns associated with lifestyle diseases and flag cases for deeper review. Another major shift is from manual to algorithmic, real-time underwriting. Traditionally, decisions depended on underwriting manuals and individual judgment. AI-driven risk scoring reduces subjectivity and brings greater consistency. Algorithms identify hidden patterns across large datasets and generate risk scores in seconds. As these systems learn, accuracy improves, reducing false acceptances.

Underwriting is also moving from annual contracts to continuous engagement. Instead of

interacting only at purchase or renewal, insurers can use ongoing data signals to reassess risk dynamically. The model evolves from “pay as you buy” to “pay as you live,” encouraging healthier and safer behavior while enabling more personalized pricing.

Redefining the Claims Process

Fraud remains a significant challenge for insurers. The future claims model is collaborative human expertise supported by AI. Algorithms analyse patterns, flag anomalies, and validate data through APIs connected to government and hospital databases. Claims handlers apply judgment in complex cases and refine models based on real-world insights. This partnership accelerates genuine claims while tightening fraud controls.

Connected ecosystems also enable a shift from risk transfer to risk prevention. Continuous data from wearables and other devices can alert customers to emerging risks before they escalate. Instead of paying only after a loss, insurers can play a more proactive role in reducing the likelihood of claims.

Parametric Insurance

Parametric insurance represents a departure from traditional indemnity models. Instead of reimbursing assessed loss, policies pay out when predefined triggers, such as rainfall levels or earthquake magnitude, are met. Because payouts are linked to objective data points, settlement is faster and more transparent. This is particularly valuable in agriculture and catastrophe-prone regions where quick liquidity is critical. As satellite imagery and sensor networks improve, parametric solutions are expanding into broader commercial use cases.

Embedded Insurance

Distribution is being reinvented through embedded insurance. Insurance is getting more contextualised and being present where customer already transacts, integrating directly into digital journey such as travel bookings, e-commerce transactions, mobility platforms, and fintech ecosystems etc.

Rather than being pushed as a standalone product, protection becomes available at the moment of need. APIs allow insurers to integrate with partner platforms and offer contextual coverage within existing workflows. For insurers, this lowers acquisition costs and improves conversion. For digital platforms, it creates additional revenue and strengthens engagement.

Reinsurance Adaptation

Alternative capital is entering the market. As capital becomes more abundant, pricing tightens, putting pressure on underwriting precision and operational efficiency. In the era of

new risk segments, commoditised capital and democratized AI, reinsurers are expanding their roles, investing in real-time data analytics, deeper risk insight, and more active portfolio management.

The future insurer will be 'intelligence-led at its core', 'platform-positioned rather than product-bound', 'precision-driven in underwriting and capital allocation', 'embedded, within customer ecosystems, and governance-by-design rather than compliance reactive. Insurance will always be about risk protection. What is changing is how that protection is designed, priced, delivered, and experienced. The industry is not just being digitised, it is being re-architected.

“Rather than being pushed as a standalone product, protection becomes available at the moment of need.”