Sixfold, a pioneer in generative AI solutions for insurance risk analysis, has launched its AI Accuracy Validator, a tool designed to improve underwriter confidence in AI-generated risk assessments.
The company focuses on advancing AI technology to provide insurers with reliable and transparent decision-making tools, according to InsurTech Insights.
The launch of the AI Accuracy Validator comes as the insurance industry experiences a rapid surge in AI adoption.
Recent surveys show that 77% of insurers have incorporated AI into their value chains, compared to 61% just a year ago.
While AI enhances risk assessment precision, underwriters often struggle with verifying the accuracy of AI-generated insights, leading to trust concerns. The new tool aims to bridge this gap by offering a transparent validation mechanism.
Sixfold specialises in AI-driven insurance solutions, helping underwriters streamline risk evaluation through advanced machine learning models. The company’s technology supports insurers in making data-driven decisions with greater accuracy and consistency.
The AI Accuracy Validator assesses the accuracy of Sixfold’s AI-generated insights by comparing them to an insurer’s underwriting standards.
It scores AI results and provides feedback to align the system’s analysis with human expectations. For example, when evaluating a cyber insurance submission, the tool might flag missing details such as a company’s backup retention period, which can impact the final accuracy score.
By identifying inconsistencies in underwriting guidelines and refining model behaviour, Sixfold continuously enhances its AI system. This ensures that underwriting teams receive more precise, reliable, and actionable insights over time. The tool also provides insurers with on-demand accuracy reports, allowing them to track progress and measure improvements.
Insurers working with Sixfold have already seen significant improvements. During the pilot phase, Sixfold’s platform increased accuracy by 15%, with business classifications consistently achieving 90% accuracy. These results have led to long-term adoption, enabling underwriters to process submissions faster while maintaining confidence in AI-driven assessments.
Sixfold Co-founder and COO Jane Tran said, “We’ve seen overwhelming enthusiasm from customers who can now track our AI’s accuracy results over time. They love the insights and transparency; they love watching the AI get smarter and what that means for their underwriters. We’re already seeing how it’s building a new level of trust in the technology, which translates to greater user adoption.”
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