How Everpure Boosted Employee Satisfaction by 39 Points with Glean Enterprise Search
Everpure, a technology company based in Santa Clara, deployed Glean to give engineering, legal, and customer-facing teams instant access to critical information across Jira, GitHub, and internal wikis — without adding IT overhead or training burden. The result was over 30 minutes saved per search, a 39-point jump in employee satisfaction, and the ability to build custom GenAI applications in under 5 minutes.
Impact
30+ min
Time saved per search
+39 points
Employee satisfaction improvement
5 min
GenAI application development time
Challenge
Everpure’s engineering, legal, and customer-facing teams were losing valuable time searching across disconnected systems — with support engineers spending up to an hour per issue in Jira, GitHub, and wikis — and the company needed a secure AI search solution that required no extra training or IT overhead.
Solution
Everpure deployed Glean to connect Jira, GitHub, and internal wikis into a unified AI search layer with permission-aware source attribution, and used Glean’s no-code builder to enable teams to create custom GenAI applications in minutes — without adding IT overhead.
Tools & Technologies
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Full Story
Everpure operates as a software and technology company with teams spanning engineering, legal, customer success, and content — functions that each depend on fast access to different types of institutional knowledge. As remote work expanded, the cost of finding the right information at the right moment increased: support engineers were spending up to an hour digging through Jira, GitHub, and internal wikis to resolve technical issues, legal teams faced delays verifying compliance documents, and customer-facing employees had to check multiple sources manually for product and pricing information.
The underlying problem was not a shortage of documentation — it was discoverability across fragmented systems. The company needed a solution that could surface answers instantly across all its tools, maintain permission-aware access controls, and require no meaningful training curve for employees already stretched across remote workflows.
Everpure deployed Glean as its enterprise AI layer, connecting it to the tools employees already used — Jira, GitHub, and internal wikis — so that search and AI-powered answers became available in one place with source attribution. Glean’s no-code application builder enabled employees to create custom AI tools without engineering support, including an executive writing assistant and automated content generation workflow. Glean Protect enforced existing permissions throughout, ensuring sensitive data stayed appropriately scoped.
The measurable impact was immediate. Searches that had previously consumed 30 or more minutes were resolved in seconds, reclaiming substantial time across engineering, legal, and support functions. Employees built production GenAI applications in as little as five minutes — a capability that previously required significant engineering involvement. The most striking signal came from employee experience: employee satisfaction scores rose by 39 points following the Glean deployment, reflecting a qualitative shift in how employees related to their tools and workflows.
Everpure’s deployment illustrates how enterprise AI adoption at the team level — anchored in tools people already use rather than replacing them — delivers disproportionate satisfaction gains alongside the expected efficiency improvements. The combination of instant knowledge access, permission-safe scaling, and self-serve AI application creation made Glean a productivity multiplier across every function the company deployed it in.