it_support · saas · workflow
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Employee search request
Employees need to quickly find critical information across multiple enterprise systems without extra training.
Tools used
GleanGlean AssistantJira · partnerGitHub · partner
Outcome
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.
Results
Time saved30+ min
Volume500
Grounding & classification
Source type: vendor customer story
31 fields verified against source quotes.
agentic workflowcontent generationenterprise searchknowledge searchknowledge basepolicy documentmetric backednamed customersource backedtools describedworkflow describedsoftwarecycle time reductionemployee productivityresolution time reductiontime savedvendor customer storyback office opsit supportlegal opsrag answering