Integration of AI Agents
AI Agents can interact seamlessly with your various systems to automate complex processes, enhancing efficiency and accuracy in operations.
Multiple Automation Methods
Leveraging multiple automation workflow methods including APIs, desktop applications, and sFTP, Roots' AI Agents seamlessly integrate with existing systems, including emails and attachments, document repositories and systems of record.
Multiple Automation Methods
Leveraging multiple automation workflow methods including APIs, desktop applications, and SFTP, Roots' AI Agents seamlessly integrate with existing systems, including emails and attachments, document repositories and systems of record.
Leveraging the Roots Automation Platform's workflow orchestration capabilities:
99% Processing Rates
Achieve Straight Through Processing rates of 99% when automating the ingestion, analysis, classification, and processing of structured and unstructured insurance documents, including ACORD forms, new business submissions, medical claim forms, and first notices of loss.
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AI Agents for Error-Free Data Handling
Error free data handling AI Agents extract data from documents and emails and transfer it into various systems, interacting with screen objects the same way a human would.
Increase Efficiency
Increase efficiency and add capacity without adding staff by automating repetitive tasks using an AI Agent and freeing team members to work on more complex activities.
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Customizable workflows
Customizable workflows enable business users to create and deploy automated workflows using natural language instructions, without requiring coding expertise.
Our Commitment to Responsible AI
Insurers must prioritize fairness and transparency to make unbiased, fact-based AI decisions. Roots simplifies this with an ethical AI framework based on eight core principles, ensuring explainable decisions, strong data protection, and ongoing improvement to maintain trust and compliance.
Roots’ AI Research and Development
Roots is dedicated to AI research that directly addresses practical problems. Our work emphasizes advanced post-training methods and reasoning capabilities, enabling AI models to simplify complex tasks, make business processes more effective, automate routine tasks, and improve decision-making.
