Why India needs a climate-ready insurance ecosystem

This article is authored by Zaheer Abbas, executive vice president & business head, BFSI, Indium and Arjune Santhanam, associate vice president, sales, Indium.

India is grappling with an escalating climate crisis. From the floods in Assam and Uttarakhand to severe heatwaves sweeping northern India, the frequency and intensity of weather extremes are no longer anomalies, they are becoming the new normal. According to the Climate Risk Index by Germanwatch, more than 400 extreme events have battered India since 1993, leading to $180 billion in damages and over 80,000 fatalities.

AI (Pixabay)

Yet, our national insurance preparedness remains dangerously inadequate. Over 90% of these climate-related losses remain uninsured, according to Swiss Re. Insurers can thrive amid change by leveraging data analytics, building digital ecosystems, strengthening cybersecurity, addressing climate risks, and adopting RegTech for streamline compliance. Success will depend on sustained innovation and strategic adaptation.

These events are no longer rare. Cyclone Michaung caused over ₹11,000 crore in damages in Chennai and according to the General Insurance Council nearly 48,000 claims, with 33,000 settled. Flash floods, glacial bursts, and heatwaves are becoming annual, exposing traditional insurance systems that rely on outdated data, leading to underpriced premiums, low reserves, and delayed settlements

If we don’t act, India risks a California-like scenario, where insurers halt new policies due to losses, especially in coastal, flood-prone, and urban areas.

Technology is now the engine of a climate-resilient insurance future, driving underwriting, claims, compliance, and reinsurance. AI, IoT, automation, and cloud tools enable dynamic risk assessment, cost-effective reach, and faster, fairer payouts.

Key levers include:

• Digital distribution platforms that make policies discoverable and affordable to underserved customers, reducing paperwork and friction.
• AI-driven risk profiling that blends historical data with real-time satellite, weather and IoT inputs to price risk accurately.
• Blockchain-enabled smart contracts to create transparent, tamper-proof claim triggers and settlements.
• Parametric insurance models where predefined thresholds (wind speed, rainfall, river level) automatically trigger payouts, eliminating disputes and delays.

The past is no longer a predictor of the future. AI/ML-driven platforms can merge real-time weather, satellite, and soil absorption data to simulate hyperlocal risk scenarios. This helps insurers price climate risk accurately, allocate reserves wisely, and expand into underserved regions. In one implementation a US-based insurer used AI-powered geospatial analytics for dynamic flood risk scoring, enabling real-time underwriting adjustments and reducing premium volatility during storm seasons.

India’s vast economy, farmers, gig workers, and MSMEs—remains highly vulnerable. Traditional products fall short due to high costs, paperwork, and low trust. Even among the insured, 30–50% coverage gaps persist, reflecting a missed opportunity for large-scale social impact.

Technology changes that calculus:

• Mobile-based microinsurance allows low-cost covers to be purchased and renewed on phones, with premiums debited in small instalments.
• Parametric products trigger automatic payouts when conditions are met, such as farmers receiving compensation if rainfall exceeds a set level.

Globally, insurers are already deploying such models. For example, to support rural farmers affected by typhoons, a Southeast Asian insurer piloted a cloud-native parametric insurance platform that processed real-time weather and crop data, enabling payouts within 48 hours, boosting renewals by 35%, and reducing fraud through automated triggers.

Claims processing is where trust is won or lost. Traditional systems lag post-disaster. AI-driven image recognition, drone sensing, and anomaly detection streamline claims and prevent fraud.

In another use case, a leading health insurer in the US automated 75% of claims using AI-led document ingestion, NLP, and predictive analytics, cutting settlement from 15 days to 72 hours and reducing overhead by 40%, improving response to high-volume events.

Technology must go hand-in-hand with capital, with risk-pooling and larger premiums amplifying digital claims impact.

For this transformation to scale, we need a supportive ecosystem:

• Regulatory agility: IRDAI’s ‘Insurance for All by 2047’ vision is timely but must be backed by frameworks that encourage experimentation with parametric and microinsurance models.
• Public-private partnerships: Co-investments in catastrophe bonds, risk pooling, and shared data infrastructure are critical.
• Re/insurance innovation: India must create re/insurance programs that actively reduce the underinsurance gap, especially for climate-linked perils.

Insurers must stop avoiding high-risk geographies. Technology allows them to price, reinsure, and serve these regions.

Insurers can’t tackle climate risks alone. Achieving IRDAI’s ‘Insurance for All by 2047’ requires tech-driven solutions, flexible regulations, and joint investment in risk pools and catastrophe bonds. Insurers must embrace high-risk areas by adopting parametric models, partnering with startups, and backing climate tech.

Every extreme weather event is a financial wake-up call—climate risk is financial risk. We must close the protection gap fast. Insurers, regulators, startups, and policymakers must unite, using technology to build a climate-resilient India

This article is authored by Zaheer Abbas, executive vice president & business head, BFSI, Indium and Arjune Santhanam, associate vice president, sales, Indium.