Master Glean with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Assess organizational readiness
: Evaluate if you have 500+ employees, 10+ enterprise systems, and dedicated IT resources for 3
6 month implementation
Request enterprise demo
: Contact Glean sales for customized demonstration using your actual enterprise applications and data structure
Conduct data governance audit
: Review information architecture, access controls, and data quality across systems before implementation planning
Identify pilot departments
: Select 50
100 users from knowledge
intensive teams (legal, consulting, R&D) for initial deployment and feedback
Plan change management
: Develop user training, adoption incentives, and success metrics before full organizational rollout
💡 Quick Start: Follow these 13 steps in order to get up and running with Glean quickly.
Explore the key features that make Glean powerful for enterprise ai search workflows.
Enterprise search across workplace apps, documents, conversations, and knowledge bases
AI assistant for asking questions against company knowledge with permission-aware retrieval
Agent and workflow capabilities for automating knowledge-heavy internal tasks
Connectors for common SaaS systems and enterprise content repositories
Admin, security, governance, and analytics controls for larger organizations
Personalized answers based on role, permissions, and organizational context
Glean enforces permission-aware retrieval by inheriting the access control lists (ACLs) from each connected system in real time, so users only ever see content they're already authorized to access in the source application. The platform is SOC 2 Type II certified, GDPR and HIPAA compliant, and operates under a zero-data-retention agreement with its LLM providers, meaning your prompts and documents are never used for model training. Implementation requires a comprehensive security review and permissions mapping, which can surface inconsistencies in existing access policies that may need cleanup. For highly regulated industries, Glean also offers options for private deployments and customer-managed encryption keys.
A typical Glean rollout takes 3-6 months and involves connecting to 10-30+ source systems, configuring permissions, training users, and tuning ranking based on organizational usage patterns. Glean assigns a dedicated customer success engineer, and most deployments require an internal project owner plus IT and security stakeholders. Crawling and indexing happens incrementally — search is usable within weeks, but full agent and assistant value typically arrives once 80%+ of high-value sources are connected. Organizations with executive sponsorship and clear change-management plans see significantly faster time-to-value.
Glean uses enterprise-only contract pricing with no public tiers or free trial, and pricing is typically structured per user per month with minimum seat commitments. Industry reporting and customer disclosures put list pricing roughly in the $40-50 per user per month range at scale, though discounts apply for larger commitments. On top of licensing, customers should budget for implementation services, ongoing tuning, and source-system connector overhead — total first-year cost for a 1,000-seat deployment commonly lands in the $500K-$1M range. Glean does not currently offer a self-serve or SMB-tier option.
Microsoft Copilot is the strongest option if your stack is almost entirely Microsoft 365 (Outlook, Teams, SharePoint, OneDrive) because it's deeply embedded in those applications and bundled with existing Microsoft licensing. Glean is the better choice when knowledge is spread across heterogeneous SaaS — Slack, Salesforce, Jira, Confluence, Notion, Zendesk, GitHub, and others — because it offers 100+ native connectors and a single search surface across all of them. Glean also has a more mature agent-building framework and a vendor-neutral LLM stack, while Copilot is tied to OpenAI models running in Azure.
Glean Agents supports both no-code workflows (built in a visual canvas) and code-based agents using Glean's SDK and API, covering use cases like sales account research, IT ticket triage, customer support drafting, code review, onboarding assistants, and HR policy Q&A. Non-engineers can build useful agents without writing code, but achieving production-quality reliability typically benefits from prompt engineering and workflow design expertise. Glean ships with a library of pre-built agent templates, and customers like Reddit and Duolingo have publicly described deploying dozens of internal agents within months of go-live.
Now that you know how to use Glean, it's time to put this knowledge into practice.
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Follow our tutorial and master this powerful enterprise ai search tool in minutes.
Tutorial updated March 2026