Automate with Precision
No more slow, costly manual tasks. Our AI-driven platform achieves over 98% accuracy, making straight-through processing (STP) a reality. Your teams can focus on higher-value tasks while our agents handle the routine, reducing operational costs and improving efficiency.
Empower Your Experts, Not Replace Them
AI should complement human decision-making. With our patented Human-in-the-Loop (HITL) technology, experts stay in control. AI handles the heavy lifting, and your team steps in only when necessary, ensuring oversight and maintaining the highest quality standards.
Generative AI Tailored for Insurance
Introducing InsurGPT, the first generative AI model built exclusively for the insurance industry. It helps underwriting and claims teams make smarter, data-backed decisions with zero "hallucinations"—ensuring that every decision is based solely on the most relevant insurance-specific documents.
Built for Insurance, By Insurance Experts
Roots Automation was crafted by professionals who know the insurance industry inside and out. Our platform combines years of industry expertise with cutting-edge AI technology to solve your most complex challenges.
Value from Day One
Get started quickly and see results almost immediately. Our AI Agents are pre-trained on insurance-specific documents and processes, so they start delivering value from the first day of implementation—no lengthy onboarding or lag time. Add capacity to your team instantly so they can better assess risks, reduce claims leakage, and delight policyholders.
Proven Success at Scale
Join the major insurance players already benefiting from Roots. Our AI Agents are already working seamlessly at scale alongside claims and underwriting teams, improving efficiency and accuracy across the board.
A True Partnership, Always
With Roots, you’re never alone. From our white-glove implementation process to continuous model updates, detailed reporting, and hands-on support, we’re committed to being your trusted partner throughout the entire lifecycle.
