If your team uses Slack, Google Drive, Confluence, JIRA, GitHub, and Salesforce simultaneously — and someone asks “where is the latest proposal for the Acme account?” — that search crosses at least four different tools. Glean is designed to answer that question from a single place.
What Glean Is
Glean is an enterprise AI search platform. It connects to the tools your company already uses, indexes their content with permission awareness built in — people only see results they already have access to — and provides a natural-language search interface that works across all of them simultaneously.
Think of it as a search engine for your company’s internal knowledge: it understands context, generates summaries, and respects your existing access controls.
What It Does Well
In environments where knowledge is scattered across many tools and finding information requires switching between apps, Glean significantly reduces search time. Engineers find code references and documentation faster. Sales teams find previous proposals and customer history. Support teams find relevant solutions without escalating.
The AI summarisation feature is particularly useful for long Confluence pages or Slack threads — it surfaces the key point without requiring someone to read the full thread. For organisations with substantial internal documentation, this alone justifies the investment.
What It Does Not Do Well
Glean is a search and retrieval tool, not a workflow automation tool. It finds information — it does not take actions. It also requires a reasonably well-organised information environment to perform well. If your Confluence is a graveyard of outdated pages and your Drive is chaotic, Glean will index that chaos and surface it faster. The platform amplifies your information organisation; it does not fix poor information hygiene.
What a Good Glean Implementation Looks Like
The implementations that perform well share three characteristics: connectors are configured carefully (not every tool needs to be indexed on day one), the permission model is audited before deployment (search should respect the same boundaries as direct access), and there is a defined rollout plan that includes training people on effective natural-language queries.
Rushed implementations that connect every tool simultaneously and release without training tend to produce underwhelming results. The platform is capable — the results reflect how carefully it is set up.
In our experience, clients who invest two to three additional weeks on data hygiene and permission auditing before going live consistently report better adoption outcomes than those who prioritise speed of deployment.
WizQuest implements Glean for enterprise teams. Contact us to discuss your environment.