Everpure accelerates workflows with Glean, boosting employee satisfaction by 39 points
Employees across teams were losing valuable time searching for policies, product details, and technical documentation across multiple enterprise systems; support engineers sometimes spent up to an hour digging through Jira, GitHub, and internal wikis, while legal teams faced delays verifying compliance documents and customer-facing teams had to check multiple sources manually.
With Glean, searches now save employees 30+ minutes, custom GenAI applications can be built in 5 minutes, over 3,400 agents were created, and employee satisfaction increased by 39 points; content creation time dropped from hours to minutes.
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Frequently asked questions
What did this team achieve with this AI workflow?
With Glean, searches now save employees 30+ minutes, custom GenAI applications can be built in 5 minutes, over 3,400 agents were created, and employee satisfaction increased by 39 points; content creation time dropped…
What tools did this team use?
Glean, Glean Assistant, Jira, GitHub.
What results were reported?
Time saved on searches: 30+ min; time to develop a custom GenAI application: 5 min; Glean agents created within 6 weeks of launch: 500; total Glean agents created: 3,400 (source-reported, not independently verified).
How is this it support AI workflow structured?
Employee search request → Glean AI knowledge search → Permission enforcement → Custom AI app creation.