Our client is a premier insurance agency training company in risk management and insurance, offering a wide array of professional designations, certificates, online courses, and continuing education opportunities. Their programs cater to individuals at all career stages, from entry-level to advanced professionals, aiming to enhance their skills and knowledge. They also help conduct leading research and provide valuable resources to support the global risk management and insurance industry.
- The client approached PROLIM Digital with several business challenges:
- Data Ingestion:
The client wanted to consolidate data from multiple sources into a single platform. Managing diverse data sources created data silos, while inconsistent formats and structures complicated the ingestion process. Due to varying data types, the client required customized data integration solutions. - API Integration:
The client required a Smart Search API that could enhance user experience while integrating seamlessly with the existing Smart Search web interface. - Chatbot Development:
The client wanted to develop a chatbot capable of generating accurate insights and responses based on claims data while meeting user expectations and business requirements. - Reporting and Dashboards:
The client needed comprehensive reports and dashboards integrated into the existing application to provide actionable insights and support data-driven decision-making.
- PROLIM Digital understood the business challenges faced by the insurance training agency and created a Snowflake solution for the client. Our experts developed a GenAI-powered chatbot solution called “Smart Search” that successfully addressed these business challenges. This Smart Search solution was built on the Snowflake AI Data Cloud.
- Smart Search reduced dependency on technical teams for data retrieval, increasing efficiency and productivity. The tool was especially beneficial for business users who needed quick answers without the steep learning curve of SQL.
- The solution leveraged Snowflake Arctic, Cortex, and Streamlit UI to integrate data from multiple claims sources into the Snowflake Data Cloud in near real-time. It processed user inputs intelligently and retrieved relevant metadata. Snowflake Cortex then sent prompts containing the user’s request and contextual information to a large language model (LLM). The generated responses were then delivered back to users through the Smart Search web interface.
