Leading financial software provider saves 3,000+ hours monthly with Glean, unlocking $2.3M yearly value
Over 1,000 employees relying on 30+ tools could not find information efficiently; per-platform search was too weak, and siloed departmental knowledge sources left teams misaligned.
Glean helped employees reclaim over 3,000 hours per month, translating to more than $2.3M in annual value; adoption exceeded 80% with 78% monthly active users and over 6.4 million queries run in a year.
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Frequently asked questions
What did this team achieve with this AI workflow?
Glean helped employees reclaim over 3,000 hours per month, translating to more than $2.3M in annual value; adoption exceeded 80% with 78% monthly active users and over 6.4 million queries run in a year.
What tools did this team use?
Glean, Salesforce, OneDrive, Outlook, Slack, Confluence.
What results were reported?
Pilot recommendation rate: 96.8%; Annual value from improved information access: >$2.3M; Hours reclaimed monthly: over 3,000 hours per month; Employee adoption rate: more than 80% (source-reported, not independently verified).
How is this back office ops AI workflow structured?
Employee information need → Unified AI search across 33 sources → Instant answer delivery → Specialized agent creation.