# OORT AI OORT AI is a platform designed to build generative AI agents. It offers a factually accurate, cost-effective solution that prioritizes user privacy while delivering high-quality conversational experiences. Our AI is designed to manage chat flows seamlessly, ensuring that conversations stay on track and meet user needs. With topic specialization, OORT AI can dive deep into specific subjects, providing expertise in targeted areas. Additionally, we support multimodal interactions, allowing users to communicate through various channels and formats, making OORT AI a versatile and powerful tool for both Web2 and Web3 environments. ## **How OORT AI Can Help Your Business** OORT AI can significantly enhance business efficiency, improve customer satisfaction, and reduce operational costs. * **30%** increase in business efficiency * **20%** reduction in operational costs * **40%** improvement in customer satisfaction #### **Success Story: Lenovo Image** [Lenovo Image](https://www.lenovoimage.com/) (now ZX), Lenovo’s printer division, partnered with OORT AI to revolutionize its customer service operations. Through this collaboration, Lenovo Image achieved: * **70% reduction in customer service costs** * **80% reduction in customer service calls** As of July 1st, 2024, OORT AI has processed 210,000 dialogues and engaged 91,000 Lenovo customers, with an impressive **91% answer accuracy rate**! ## Use Cases * **Education**: Enables institutions to deploy AI assistants for instant, precise support to students and faculty. * **Law firms**: Allows law firms to create specialized AI assistants for swift, accurate legal inquiries and optimized client services. * **E-commerce**: Empowers e-commerce to develop AI agents for enhanced customer interactions and personalized shopping experiences. * **HR**: Create AI agents to efficiently manage inquiries and automate routine tasks for employees and applicants ### Learn More About OORT AI {% embed url="" %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.oortech.com/oort/solutions/oort-ai.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.