Case Study: TeamSystem scales AI innovation with MongoDB Atlas

TeamSystem cuts task times by 40% with MongoDB Atlas

TeamSystem, a leading provider of digital management solutions in Europe, faced the challenge of embedding AI across its vast product ecosystem in a secure and scalable way. They needed to unify data from siloed sources and build a robust multi-tenant platform to provide intuitive, AI-powered content access for their users while ensuring strict data isolation and security. They partnered with MongoDB to address this challenge using MongoDB Atlas.

By implementing a solution on MongoDB Atlas, TeamSystem combined full-text, metadata, and vector search to power a retrieval-augmented generation (RAG) application. This allowed them to build a high-performance, scalable AI platform that cut task completion times by 30-40% for half a million users. The results included a significant boost in operational efficiency, simplified data governance, and enhanced user satisfaction.

TeamSystem