PureCars | AI Assistant

I joined the Rylie AI Assistant project to lead the AI enhancement efforts, focusing on integrating automation and data-driven insights into the platform. My role involved defining the AI roadmap, working closely with AI developers, and ensuring the assistant provided structured, useful responses while expanding its capabilities over time.

Key Achievements

• Worked with business teams to extract data from knowledge bases and training materials, shaping the AI’s learning process.
• Developed training questions and tested early AI outputs to refine accuracy and improve responses.
• Designed a natural language querying system, making it easy for users to access structured data without technical expertise.
• Integrated AI-driven insights with existing workflows, ensuring seamless access to campaign data, reporting, and automation tools.
• Collaborated with AI developers from planning through execution to align models with business needs.
• Established a modular AI framework to support future enhancements like deep linking, image-based exports, and external system checks.

Challenges We Faced

• Defining the right AI priorities while ensuring a balance between automation and human oversight.
• Extracting and structuring information from scattered sources to train the AI effectively.
• Managing security and access control to ensure AI-generated insights were only visible to authorised users.
• Enhancing campaign management and reporting workflows without disrupting existing processes.

Ongoing and Future Enhancements

The next phases will expand Rylie’s AI capabilities further, introducing automated support query handling, voice interactions, proactive insights, and predictive analytics to improve efficiency and streamline business operations.