ZestyAI Launches ZORRO Discover: AI-Powered Regulatory Research Tool for Insurers

ZestyAI launches AI agent for insurers

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. Regulatory research remains one of the costliest inefficiencies in insurance, with an estimated $2.5 billion spent annually on manual reviews. The process consumes millions of hours across fragmented workflows, as filings often stretch into the thousands of pages, slowing competitive analysis and strategic decision-making. To solve this, ZestyAI built ZORRO Discover on a proprietary generative AI pipeline, leveraging large language models optimized for insurance-specific content, including filings, objections, responses, and regulations from all 50 states. Using agentic AI, the platform proactively navigates and synthesizes regulatory data, delivering a fast, intuitive experience tailored to the structure and language of insurance filings. Early adopters of ZORRO Discover have found insurers can cut research time by an average of 95%, saving thousands of work hours and millions in costs. "For too long, regulatory filings have buried critical intelligence under layers of complexity," said Kumar Dhuvur, Founder and Chief Product Officer of ZestyAI. "Through years of working closely with regulators, we've come to deeply understand these challenges. ZORRO Discover puts that intelligence at insurers' fingertips so they can act faster, stay compliant, and make smarter decisions in an increasingly competitive market." ZORRO Discover supports compliance, actuarial, product, and strategy teams in accelerating competitive research and reducing regulatory risk. By replacing manual reviews with a consistent, repeatable process, the platform helps teams improve research accuracy, focus on high-impact work, and stay ahead of regulatory changes. Key capabilities include: * Plain-language search: Analyze and compare filings across carriers, states, and time periods using intuitive queries -- no deep regulatory or technical expertise required. * Zero in on critical details instantly: Transform complex filings into executive-level insights for faster, more informed decision-making. * Spot market opportunities early: Track shifts in rates, rules, forms, and guidelines to anticipate industry trends and act proactively. * Run side-by-side comparisons: Evaluate pricing strategies, regulatory objections, or model usage over time and across competitors (e.g., compare windstorm mitigation discounts among major carriers in Florida). ZORRO Discover launches with a focus on homeowners insurance and is rapidly expanding to support regulatory and competitive intelligence across auto, commercial, and additional lines of business.

ZestyAI Unveils Regulatory Research Tool Zorro Discover | PYMNTS.com

"Regulatory research remains one of the costliest inefficiencies in insurance, with an estimated $2.5 billion spent annually on manual reviews," the release said. "The process consumes millions of hours across fragmented workflows, as filings often stretch into the thousands of pages, slowing competitive analysis and strategic decision making." To address this, the company developed Zorro Discover on a "proprietary generative AI pipeline," using large language models optimized for "insurance-specific content, including filings, objections, responses, and regulations from all 50 states," per the release. Early adopters of the product have found that insurers can reduce their research time by an average of 95%, according to the release. "For too long, regulatory filings have buried critical intelligence under layers of complexity," ZestyAI founder and Chief Product Officer Kumar Dhuvur said in the release. "Through years of working closely with regulators, we've come to deeply understand these challenges." "But why are mid-market companies hesitating to unleash the full power of autonomous AI?" PYMNTS reported July 4. "The answer is both strategic and psychological. While the technological potential is enormous, the readiness of systems (and humans) is far less clear." For AI to act autonomously, executives need to trust not only the output but the entire decision-making process that led to it. That trust is difficult to earn but easy to lose. The report revealed that 80% of high-automation enterprises point to data security and privacy as their chief concern with agentic AI. Other companies expressed concerns about integration issues (62%) and the accuracy of AI-generated outputs (57%). "Agentic AI is being treated as a high-potential, high-risk technology that has yet to meet the compliance, reliability and trust thresholds required for enterprise-scale deployment," PYMNTS reported.