The first-of-its-kind technology addresses the critical need for transparency and consistency in AI applications within the insurance underwriting sector.
The new Accuracy Validator enables Sixfold to continuously refine its AI output, ensuring underwriters receive factually accurate, reliable, and actionable insights for every risk assessment. This development signifies Sixfold’s commitment to delivering trustworthy and dependable risk evaluations, a crucial factor in the rapidly evolving landscape of AI in insurance.
The launch comes at a pivotal moment, as the insurance industry witnesses a surge in AI adoption. According to recent surveys, 77% of insurers are now integrating AI into their value chains, up from 61% just a year prior. This rapid integration aims to enhance risk assessment precision and streamline operations. However, a significant gap exists: underwriters lack objective tools to verify the accuracy of AI-generated insights, leading to potential trust issues and reluctance to fully embrace the technology.
Setting a New Standard in AI Accuracy
Sixfold’s AI Accuracy Validator compares Sixfold’s AI-generated insights to the insurer’s own standards—what an underwriter at the carrier would expect to see. It checks for accuracy alignment, scores Sixfold’s results, and provides feedback to improve alignment with human analysis. For instance, in an evaluation of a cyber submission, it could draw the following conclusion about the accuracy of Sixfold’s risk summary:
“The AI-generated summary achieved an accuracy score of 89% because it failed to include information about the company’s backup retention period.”
When the application flags issues, Sixfold first looks for patterns to understand why. For example, issues could lie in certain lines of business, specific risk categories, or inconsistencies in how underwriting guidelines are applied. Once the root cause is identified, Sixfold enhances accuracy by refining model behavior, optimizing pattern recognition, and improving how underwriting guidelines are interpreted—ensuring continuous learning and adaptation.
Sixfold built the Accuracy Validator to ensure consistency and continuous improvement. With clear benchmark metrics, insurers can easily track progress and see how Sixfold’s AI meets their standards, not just once but over time. Sixfold delivers on-demand accuracy reports to customers so that they can view results whenever they’d like.
“We’ve seen overwhelming enthusiasm from customers who can now track our AI’s accuracy results over time,” said Jane Tran, Co-founder and COO of Sixfold. “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.”
Insurers working with Sixfold have seen measurable improvements—like a 15% accuracy improvement during the pilot phase and consistently reaching 90% accuracy in business classifications. These results have led to long-term adoption of Sixfold’s platform, with underwriters processing submissions faster while maintaining confidence in their risk assessments.
