A travel policy check meant four systems. Glean unified 13 years of docs and mirrored the existing security model—no parallel build needed.
California's only ACA health insurance marketplace, where state residents access federal and state premium subsidies, operating across 14 divisions with 13 years of policy documentation spread across a complex multi-system environment.
Staff needed to search across a fragmented network of systems for routine information, sometimes checking four separate sources just to get an answer...
“Rolling out Glean enterprise-wide was a very hands-on and collaborative experience.”
State-run health insurance marketplace for California residents and small businesses.
AI-powered enterprise search and assistant platform for workplace knowledge.
Covered California's Knowledge search is part of this use case:
Related implementations across industries and use cases
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Info scattered, intranet ignored. Glean gave employees one place to search; AI agents now draft performance reviews and answer HR questions.
Fragmented websites left residents flooding the 311 hotline. Now, an AI assistant generates instant summaries with clickable citations.
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Info scattered, intranet ignored. Glean gave employees one place to search; AI agents now draft performance reviews and answer HR questions.
High incident volumes across complex IT/OT networks overwhelmed security teams. Now, AI agents triage alerts so analysts can hunt threats.
Years of unstructured procurement entries hid the license redundancies. PRISM parsed 1M+ rows and surfaced $2.5M in savings.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
A travel policy check meant four systems. Glean unified 13 years of docs and mirrored the existing security model—no parallel build needed.
California's only ACA health insurance marketplace, where state residents access federal and state premium subsidies, operating across 14 divisions with 13 years of policy documentation spread across a complex multi-system environment.
Staff needed to search across a fragmented network of systems for routine information, sometimes checking four separate sources just to get an answer...
“Rolling out Glean enterprise-wide was a very hands-on and collaborative experience.”
State-run health insurance marketplace for California residents and small businesses.
AI-powered enterprise search and assistant platform for workplace knowledge.
Covered California's Knowledge search is part of this use case:
Related implementations across industries and use cases
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Info scattered, intranet ignored. Glean gave employees one place to search; AI agents now draft performance reviews and answer HR questions.
Fragmented websites left residents flooding the 311 hotline. Now, an AI assistant generates instant summaries with clickable citations.
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Info scattered, intranet ignored. Glean gave employees one place to search; AI agents now draft performance reviews and answer HR questions.
High incident volumes across complex IT/OT networks overwhelmed security teams. Now, AI agents triage alerts so analysts can hunt threats.
Years of unstructured procurement entries hid the license redundancies. PRISM parsed 1M+ rows and surfaced $2.5M in savings.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.