Super.com saves 1,500+ hours monthly and onboards employees 20% faster with Glean
As Super.com scaled, knowledge became scattered across multiple platforms. A shift to a written documentation culture helped transparency but created a new problem: employees had to search across various tools, wasting time and duplicating effort.
Glean's AI-powered search saved Super.com more than 1,500 hours monthly, cut per-employee search time by 20 minutes per day, reduced onboarding time by 20%, and delivered 17x ROI with over 80% adoption across 7,000 employees.
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Frequently asked questions
What did this team achieve with this AI workflow?
Glean's AI-powered search saved Super.com more than 1,500 hours monthly, cut per-employee search time by 20 minutes per day, reduced onboarding time by 20%, and delivered 17x ROI with over 80% adoption across 7,000 em…
What tools did this team use?
Glean, Glean Chat.
What results were reported?
Hours saved monthly: 1,500+ hours monthly; Time to find information per employee per day: 20 minutes faster per day; Onboarding time reduction: 20%; ROI from time saved: 17x (source-reported, not independently verified).
How is this back office ops AI workflow structured?
Employee triggers search → Glean connects all tools → AI-powered search retrieves answers → New hire onboarding via Org Chart.