AI Speeds Up Disaster Insurance Claims and Strengthens Climate Resilience

KUALA LUMPUR, JULY 2026 – Artificial intelligence has the potential to transform how insurers, governments and financial institutions manage disaster-related risks by accelerating claims processing and supporting stronger climate resilience.

BIMB Securities said the technology could improve the management of financial risks associated with natural disasters, particularly through faster assessments, more accurate risk modelling and automated insurance payouts.

One of the most promising applications is parametric insurance, a form of protection that releases payments when predetermined conditions are met. These conditions may include rainfall levels, wind speeds, flood depth or the strength of an earthquake.

Unlike conventional insurance, which usually requires a detailed physical assessment of damage before compensation is approved, parametric coverage can trigger payments based on verified data. This could allow affected individuals, businesses and communities to receive financial assistance sooner after a disaster.

AI can strengthen this process by analysing large volumes of information from weather stations, satellites, sensors and historical disaster records. It can identify patterns, estimate potential losses and determine whether the conditions required for a payout have been reached.

Satellite imagery is also expected to play a greater role in disaster-risk management. AI-powered systems can compare images taken before and after an incident to detect flooding, damaged infrastructure, destroyed buildings or changes in agricultural land.

This allows insurers to assess affected areas more quickly, including locations that may be difficult or dangerous for human surveyors to reach immediately after a disaster. The use of satellite data could therefore shorten the period between an incident and the completion of an initial damage assessment.