Case Study: Paychex improves HR service accuracy and productivity with MongoDB Atlas

Paychex deploys AI chatbot in less than one month with MongoDB

Paychex, a financial services company providing human capital management solutions, faced a challenge in supporting its 24/7 call center. Its service representatives needed to quickly and accurately answer complex client questions by navigating vast knowledge bases and regulatory documents. To boost productivity and accuracy, Paychex sought to leverage large language models (LLMs) to create an AI-powered chatbot and needed a robust data layer to store and manage the interaction data for continual improvement. They implemented MongoDB Atlas to support this initiative.

Using MongoDB Atlas, Paychex deployed a solution in less than one month to store and retrain its AI model with user interaction data. This allowed the company to iteratively improve the chatbot's accuracy and analyze usage trends. The results included major productivity gains for service representatives, who now obtain solutions faster and provide more consistent client experiences. Paychex found MongoDB to be an excellent platform, proving crucial to its cloud and AI strategy, and has planned further projects using it.

Paychex