Mediafly
Knowledge search
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
- 90% company-wide adoption of Glean
Tool freedom left knowledge scattered across systems no team would give up. Glean became the search layer on top—no migration required.
An AI orchestration platform connecting over 9,000 apps for millions of users, from startups to Fortune 500 companies, built on a culture of tool freedom where employees adopted whatever software fit their work.
That freedom left knowledge scattered across internal tools with no single system of record. Consolidating platforms would have stripped teams of...
“Glean is a tool that speaks for itself once you start using it.”
No-code automation platform for connecting apps and orchestrating AI workflows.
AI-powered enterprise search and assistant platform for workplace knowledge.
Zapier'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.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Engineers lost up to an hour digging through Jira and wikis. Now, an AI assistant instantly surfaces secure, attributed answers.
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.
Tool freedom left knowledge scattered across systems no team would give up. Glean became the search layer on top—no migration required.
An AI orchestration platform connecting over 9,000 apps for millions of users, from startups to Fortune 500 companies, built on a culture of tool freedom where employees adopted whatever software fit their work.
That freedom left knowledge scattered across internal tools with no single system of record. Consolidating platforms would have stripped teams of...
“Glean is a tool that speaks for itself once you start using it.”
No-code automation platform for connecting apps and orchestrating AI workflows.
AI-powered enterprise search and assistant platform for workplace knowledge.
Zapier'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.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Engineers lost up to an hour digging through Jira and wikis. Now, an AI assistant instantly surfaces secure, attributed answers.
Each acquisition scattered knowledge further. Glean unified the sprawl—employees now find answers themselves instead of pinging Slack.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.