Traditionally, when policyholders report property damage, insurers must assess whether immediate repairs are required to prevent further harm—a process known as 'make safe' repairs. This often involves sending assessors or contractors to the site, which can be time-consuming and costly.
By implementing a generative AI model developed on the Google Cloud Platform, IAG can now automatically evaluate property claims and decide if 'make safe' repairs are warranted. This system analyses claim data to make informed decisions, reducing the need for manual assessments.
Willem Paling, IAG's Executive Manager of Analytics and AI, reported that the AI model has already saved the company hundreds of thousands of dollars in contractor fees. Moreover, it has streamlined the claims process for customers, ensuring that urgent repairs are promptly addressed while avoiding unnecessary interventions.
This AI-driven approach not only optimises resource allocation but also enhances customer satisfaction by providing faster and more accurate responses to claims. It reflects a broader trend in the insurance industry towards leveraging advanced technologies to improve service delivery and operational efficiency.
In conclusion, IAG's adoption of generative AI for assessing 'make safe' repairs represents a significant step forward in the integration of technology within the insurance sector, offering tangible benefits for both the company and its policyholders.
