How Confluent Saves 15,000+ Hours a Month with Glean
Confluent, a data streaming platform company with 2,000+ employees and 4,000+ customers, deployed Glean to solve the knowledge fragmentation that came with rapid growth from 250 to 2,000+ employees across 20+ systems. Glean indexed the company's full tool stack — Slack, Salesforce, Confluence, and more — enabling instant knowledge retrieval across all teams. The result: 15,000+ hours saved monthly, a 13% increase in support team satisfaction, and over 70% employee adoption.
Tools & Technologies
1AI Categories
Challenge
As Confluent scaled from 250 to 2,000+ employees across 20+ tools, knowledge became scattered and hard to find, slowing down Support, Sales Engineering, and Customer Success teams and reducing productivity — confirmed by an internal survey showing employees struggled to access the information needed to do their jobs.
Solution
Confluent deployed Glean's AI-powered enterprise search to index its 20+ tools — including Slack, Salesforce, and Confluence — giving every employee a single interface to retrieve documents, past deal cycles, help articles, and messages instantly, with minimal setup.
Full Story
Confluent is a data streaming platform company built on Apache Kafka, with more than 2,000 employees and over 4,000 customers. As Confluent scaled rapidly from 250 employees, its knowledge base became distributed across more than 20 tools — Slack, Salesforce, Confluence, and others. An internal survey confirmed what employees were already experiencing: finding the information needed to do their jobs had become genuinely difficult. Support, Customer Success, and Sales Engineering teams were hit hardest, as their work depended heavily on fast access to past context — deal cycles, product documentation, troubleshooting guides, and customer history.
Access 442+ AI use cases, 407+ tools, and adoption signal rankings.