Bridging the Gap: How AI can drive financial inclusion in India’s insurance sector

Using AI can transform the very fabric of auto insurance – by personalizing risk assessment

Indian tech industry is primed to disrupt the legacy auto insurance sector and harness AI's potential
Indian tech industry is primed to disrupt the legacy auto insurance sector and harness AI's potential

By Rohan Malhotra

India paints a contrasting picture of technological innovation set against socio-economic challenges. With auto insurance penetration of less than 1% of GDP and a staggering 70% of two-wheelers uninsured, India needs a potent catalyst for change.
With smartphone penetration skyrocketing, India leads in mobile-first insurance technologies. More and more customers are purchasing policies and filing claims through their phones, signaling a shift towards digital, user-friendly consumer experiences. The rise of electric vehicles (EVs), especially the meteoric surge in two-wheeler EVs, with their software-centric operation and reduced mechanical complexity, opens new avenues for insurance solutions.


AI’s Transformational Role


AI is poised to transform the sector, moving from a generic model to tailor-made solutions. Through AI, insurers can offer cost-effective products essential for low-margin economies like India’s and increase auto insurance penetration, especially in tier-2, tier-3 and tier-4 cities. This shift promises immense benefits—not just in terms of fairer premiums and increased accessibility, but also as a boost to economic vitality. AI’s potential in boosting the auto insurance sector in India is multifaceted:


Personalized Risk Assessment: AI proposes a shift from broad demographic-based risk assessment to one that factors in individual driving behavior. This precision leads to fairer premiums and incentivizes responsible driving habits.

Enhanced Road Safety: By analyzing vast datasets and real time driving conditions through computer vision technologies, AI can identify potential hazards and predict accidents. This predictive capability enables preemptive alerts, reducing the risk of road accidents.

Automated Claims Processing: In a country where claim settlement can span months, AI integration reduces it to mere minutes, which is nothing short of revolutionary. Computer vision technology can assess damage more accurately and expedite the claims process.

Fraud Detection: With an alarming 30% of insurance claims in India being fraudulent, AI’s analytical ability is a game-changer, capable of saving the industry billions.

Indian tech industry is primed to disrupt the legacy auto insurance sector and harness AI’s potential, to drive down premiums, reduce accidents, and streamline underwriting and claims processing.


Collaboration for an Inclusive Ecosystem


For an inclusive insurance landscape to materialize, collaboration is key. Insurers, insurance technology companies, and regulators must work in concert to create a robust ecosystem that fosters innovation while addressing concerns like data privacy, cyber security and responsible AI. This will ensure that proprietary technologies don’t monopolize advancements and that these innovations are built on a foundation of ethical integrity.


Realizing AI’s Potential


In a nation that accounts for 13% of the world’s road accidents and where most auto insurance run massive losses, the stakes are high and the need for change is undeniable. With an aim to make underwriting more efficient and decrease the frequency and severity of accidents, AI is not just a technological tool—it’s a catalyst for societal advancement. AI stands at this frontier, ready to bridge the gap, ensuring that safety and financial protection on the roads, becomes a shared reality for all denizens of India.

The author is CEO, Roadzen

Disclaimer: Views expressed are personal and do not reflect the official position or policy of Financial Express Online. Reproducing this content without permission is prohibited.

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This article was first uploaded on July six, twenty twenty-four, at nineteen minutes past four in the afternoon.
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