Fidelity National Information Services (FIS) has launched an AI-driven insurance risk suite, enhancing underwriting precision and operational speed for insurers. The platform, designed for global insurance providers, leverages machine learning to analyze risk data in real time, reducing processing times by up to 40%.
- FIS launched an AI-powered insurance risk suite to improve underwriting efficiency and accuracy.
- The platform reduces policy issuance time by up to 40% and cuts manual review workload by 35%.
- Risk classification accuracy improved by 28% compared to traditional models.
- Integrated with FIS’s core financial systems, supporting global deployment across 12 initial clients.
- Expected to drive growth in FIS’s insurance technology segment, which generated $380 million in Q4 2025.
- Supports compliance with Solvency II, NAIC, and other regulatory standards.
FIS has introduced a new AI assistant within its Insurance Risk Suite, targeting underwriters across property and casualty insurers. The tool uses advanced natural language processing and predictive modeling to assess risk exposure from policy applications, claims history, and third-party data sources. By automating the initial risk evaluation phase, insurers using the platform report a 35% reduction in manual review workload and a 40% improvement in turnaround time for policy issuance. The suite integrates with FIS’s existing financial processing systems, enabling seamless data flow across core operations. Early adopters include mid-tier insurers in North America and Europe, with deployment already underway across 12 client organizations. FIS reported that the AI component improves risk classification accuracy by 28% compared to traditional actuarial models, reducing the likelihood of over- or under-pricing policies. Market implications are significant: FIS’s move strengthens its position in the fintech infrastructure space, particularly as financial institutions like JPMorgan Chase (JPM) and Mastercard (MA) increasingly rely on AI-augmented risk platforms. The launch is expected to drive revenue growth in FIS’s insurance technology segment, which contributed $380 million in Q4 2025. Analysts note that the platform could expand FIS’s client base in the insurance vertical, a segment where AI adoption is accelerating at a 22% annual rate. The rollout aligns with broader industry trends, as insurers face rising regulatory demands and increasing exposure to climate-related risks. By embedding AI into risk assessment workflows, FIS enables faster, more consistent decision-making—critical in volatile market environments. The suite is scalable across multiple jurisdictions and is compliant with key regulatory frameworks including the EU’s Solvency II and U.S. NAIC guidelines.