Mphasis, a leading provider of cloud and cognitive technology solutions, today announced a strategic partnership with Sixfold, a US and UK-based artificial intelligence (AI) underwriting company, to enhance and streamline insurance underwriting processes. As a certified implementation partner, Mphasis will integrate Sixfold’s AI-powered platform to help insurers significantly accelerate submission intake, improve risk assessment accuracy, and reduce underwriting turnaround times. The solution, already in production at several leading carriers, is designed for Life & Disability, Commercial P&C, Specialty, and Reinsurance lines. Sixfold’s platform empowers underwriters with real-time, contextual insights—enabling faster and more confident decision-making without compromising underwriting standards. The AI engine customizes recommendations to match each insurer’s unique risk appetite, boosting underwriter productivity and increasing Gross Written Premium (GWP) per underwriter by enhancing risk selection and reducing manual review workloads. Srikumar Ramanathan, Chief Solutions Officer at Mphasis, commented: “We are thrilled to collaborate with Sixfold to accelerate AI-driven transformation in the insurance sector. Leveraging the strength of Sixfold’s advanced AI models and Mphasis.ai’s domain expertise, we are enabling insurers to deliver faster, more accurate, and scalable underwriting outcomes that align with their strategic goals.” Alex Schmelkin, Founder & CEO of Sixfold, added: “We built Sixfold to directly solve underwriters’ biggest pain points. This partnership with Mphasis ensures that insurers can integrate and scale our platform seamlessly—without adding complexity or disruption to existing workflows. Together, we’re making underwriting faster, smarter, and better for everyone, including brokers and customers.” This partnership underscores Mphasis’ continued investment in next-generation insurance solutions and reinforces its position as a key technology enabler for global insurers seeking to modernize legacy systems and enhance operational resilience.