When enterprise search and AI agents work the way they should, a sales rep can ask "What did the customer commit to in our last three calls?" and get an answer in seconds. An IT admin can deflect a password reset without opening a ticket. A new hire can find the launch plan from six months ago without asking five people. Decisions move faster, knowledge stays connected, and meetings stop being the only place context lives.
That's the promise behind Glean and Moveworks. Glean focuses on AI-powered enterprise search across company apps. Moveworks focuses on AI agents that resolve employee service requests, especially in IT and HR. Both are strong tools. Both are also expensive, slow to deploy, and built around a specific slice of the workday rather than the whole thing.
This guide compares Glean and Moveworks on the criteria that matter for enterprise adoption. Search relevance, agent capabilities, integrations, deployment speed, security, and ROI. It also explains where Read AI fits, since the search for "Glean vs Moveworks" is rarely about choosing between two products. It's about figuring out which AI assistant actually changes how employees work.
Glean and Moveworks solve adjacent problems with different starting points. Glean is an AI-powered enterprise search platform. Its core focus is unified search and knowledge discovery across connected systems like Slack, Microsoft Teams, Salesforce, Confluence, Jira, and Google Workspace. Glean's reasoning engine reads across these sources, ranks results by personal and team context, and produces accurate answers with citations. Glean is most often adopted by mid-market and enterprise IT teams, internal communications leaders, and knowledge management owners who want a single search surface for the whole company.
Moveworks is an employee service management platform. Its core focus is automating IT and HR support through conversational AI inside Slack or Microsoft Teams. Employees ask natural language questions like "How do I get access to Salesforce?" or "Where do I submit a PTO request?" and Moveworks routes the request, fires a workflow in connected systems like ServiceNow or Jira Service Management, and returns a result. Moveworks is built for IT teams, HR operations, and large enterprises with heavy ticket volume. The reasoning engine and AI Agent Studio focus on structured automation and ticket deflection rather than open-ended knowledge retrieval.
Pricing for both is custom and opaque. Neither vendor lists prices publicly. Procurement typically involves a sales-led discovery call, a multi-week pilot, professional services fees, and a per-seat annual contract. Published deployment timelines range from several weeks to several months before the platform delivers measurable value. That procurement cycle is one reason buyers increasingly look for tools that work without IT approval.
Search is the area where Glean has the strongest reputation. Its semantic understanding goes well past exact words and keyword matching. Ask a natural language question like "What's our refund policy for annual customers?" and Glean's search capabilities pull together relevant information from Confluence, Salesforce Service Cloud, Notion, and shared drives, ranked by what your role and team usually access.
Moveworks ships search, but its strength is a different shape. Searches inside Moveworks tend to surface knowledge base articles tied to support workflows. The reasoning engine optimizes for resolution. If an employee asks about VPN access, the priority is solving the problem, not browsing related documents. That's a feature in IT support and a limitation in open-ended knowledge discovery.
Both platforms use RAG to ground answers in source content with citations. Both protect sensitive data through role-based access control and per-document permissions inherited from connected systems. The difference shows up at the edges. Glean's search is more flexible. Moveworks' search is more action-oriented but narrower.
Both platforms share a common limitation. Enterprise search platforms still pull from documents and tickets. They miss what was decided in yesterday's leadership meeting unless someone wrote it down somewhere a connector can reach. Read AI closes that loop by indexing meetings, emails, and messages alongside connected platforms. When an employee asks, "What did Marketing commit to for the launch?" Read AI returns the actual answer from the call where the decision was made, not the document someone might have written afterward.
Both vendors offer agent-building tools. Glean's no-code agent builder lets internal teams configure custom AI agents that pull from indexed knowledge and execute multi-step workflows across connected systems. Moveworks' AI Agent Studio offers a visual interface for defining intents, conversational flows, and integrations with backend systems like ServiceNow, Workday, or Jira Service Management. Both provide observability for agent behavior, audit logs, and analytics on usage and resolution rates.
The conversational AI experience differs by chat app integration. Glean Assistant lives natively in Slack and Microsoft Teams as a side panel and search bar. Moveworks lives natively in those same surfaces, with deeper hooks into ITSM and HR workflows. For task automation and ticket management, Moveworks has a more mature orchestration layer. For knowledge access and direct answers from internal knowledge, Glean has deeper retrieval.
The bigger challenge for most enterprises is consolidation. Few enterprises actually want two AI assistants. They want one assistant who knows what's in their CRM, what was said in their last QBR, and how to file a ticket when something breaks. Some platforms are starting to combine search, task execution, and meeting context into a single interface.
Read AI is one example, combining search, automation, and meeting data in one place, with tools like its Digital Twin to handle follow-ups and coordination across systems. Ada@read.ai draws on roughly 35.7 million tokens of context per user, including meeting transcripts, email threads, and connected app data, and can complete tasks like drafting follow-ups or scheduling next steps from inside Gmail, Outlook, Slack, or Teams.
Glean lists 100+ native connectors across workplace apps, with strong coverage of business applications used by mid-market and enterprise customers. Moveworks lists hundreds of integration points, with the deepest coverage in IT and HR systems like ServiceNow, Workday, Okta, and Jira Service Management. Both support custom integrations through API and webhook connections. Both invest heavily in integration depth per connector, especially for the systems their core users rely on.
What matters most is which integrations your team actually relies on. If your knowledge lives mostly in Confluence, Salesforce, and Google Workspace, Glean's integration map is well suited. If your priority is automating tickets across ServiceNow, Jira, and HR systems, Moveworks goes deeper. If your team works across Microsoft and Google ecosystems, runs meetings on Zoom or Meet or Teams, and uses Slack to coordinate, you'll find both Glean and Moveworks index parts of your workflow. Neither Glean nor Moveworks fully unifies Microsoft and Google ecosystems, which creates gaps for teams working across both. Read AI addresses this with native support across calendars, calls, email, and messaging.
Workflow execution is where Moveworks' design choices pay off. Its conversational AI is built to complete tasks. Provision software, reset passwords, request access, file expense reports, look up benefits. Customer-reported ticket deflection rates often land in the 50% to 70% range for properly trained deployments, which translates into real reductions in IT and HR support volume.
Glean is moving in the same direction. Its agents handle multi-step workflows across connected systems, but the company's center of gravity is still knowledge access rather than service automation. For cross-department automation that touches sales, finance, and engineering at the same time, both platforms can do it, but neither was built for it from day one.
KPIs to track when measuring employee productivity impact include mean time to resolution for support requests, ticket deflection rate, hours saved per knowledge worker per week, search query volume, search-to-action conversion rate, and self-service adoption. For Read AI customers, the typical pattern is more direct. Knowledge workers reclaim 20+ hours per month, sales teams reclaim 6 to 8 hours per week previously lost to CRM data entry, and managers run meetings with less overhead because notes, decisions, and follow-ups generate themselves.
Both Glean and Moveworks ship enterprise grade security. Both are SOC 2 Type 2 certified and offer GDPR-compliant deployments. Both support SSO, role-based access control, audit logging, and per-document permission inheritance. Glean offers a cloud deployment and a customer self-hosted option where Glean deploys inside the customer’s VPC but retains operational control for highly regulated industries. Moveworks runs primarily as a managed cloud service. Compliance certifications on both sides include the standards enterprise procurement teams typically require.
Deployment is where the difference shows. Glean and Moveworks both require professional services, IT involvement, and a setup window measured in weeks or months. Both use a top-down provisioning software model. Admins decide what gets connected, what gets indexed, and who sees what. That model fits established enterprise procurement, but it slows adoption.
Read AI takes a different approach. Read AI's enterprise search is designed for rapid deployment with minimal setup. The permissioning model is bottom-up. Data from connected services is surfaced only inside each user's own knowledge base by default. The internal authorization service runs half a billion permission checks daily. Only 10 to 15% of users opt into the data sharing program, and the product still works fully for everyone else. Read AI carries the SOC 2 Type 2, GDPR, and HIPAA compliance posture enterprise buyers expect, and does not train on customer data by default.
The metrics that matter for resolution speed are measurable for both Glean and Moveworks. Average time to answer, query success rate, citation accuracy, escalation rate, and user satisfaction. Observability for agent behavior should include conversation logs, tool call traces, error rates by intent, and analytics on which queries fail.
For pilot sizing, plan for at least 50 to 100 users across two or three representative teams over 60 to 90 days. Anything shorter does not generate enough signal to evaluate accuracy or adoption patterns. Anything smaller risks selection bias from a single team's workflows. Track baseline metrics before rollout. Support ticket volume, average search time, meeting-to-action conversion, and weekly hours spent looking for information. McKinsey's research suggests employees spend roughly 9 hours per week searching for and gathering information, so the upside is significant if the platform actually closes that loop.
The choice comes down to where you need the most impact: knowledge access or task automation. If your largest pain point is employees asking each other where things live, if you have a heavy investment in Confluence, Salesforce, or Google Workspace, and if your business case is built around knowledge discovery and search relevance, Glean is the more natural fit.
Choose Moveworks when your priority is action-first automation. If you're trying to deflect IT tickets at scale, if your HR team is overloaded with repetitive requests, and if your business case is built around ticket reduction and service automation inside Slack or Microsoft Teams, Moveworks is the more natural fit.
Best known for AI-powered enterprise search and contextual answers. Ideal for companies focused on creating a unified search experience and improving knowledge discovery across tools and systems.
Designed around conversational AI for IT and HR ticket deflection. Best suited for enterprises looking to automate support workflows inside Slack and Teams.
Offers a conversation layer combined with enterprise search, AI agents, and a Digital Twin across existing workplace platforms. Best for teams that want conversations indexed alongside documents and tickets, along with proactive recommendations and rapid deployment.
Before you select a vendor, work through this list. Build an integration inventory of every business application that holds critical knowledge or runs key workflows, including meeting platforms, CRM, project management, and chat. Define success metrics tied to dollars or hours saved, then set SLAs for resolution speed, search accuracy, and agent uptime. Plan a pilot with two or three representative teams over 60 to 90 days. Collect vendor pricing quotes after the pilot, not before, so you're negotiating with real performance data.
Read AI is built to make that evaluation faster. Enterprise Search, AI agents, and Digital Twin run inside the platforms teams already use, with a free tier and no professional services required. Teams typically see results within their first week.
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Glean is an AI-powered enterprise search platform focused on knowledge discovery across company apps. Moveworks is an employee service management platform focused on resolving IT and HR tickets through conversational AI in Slack and Microsoft Teams. Glean answers questions about what's in your knowledge base. Moveworks completes tasks based on those questions.
Moveworks is generally the stronger fit for IT teams whose primary goal is ticket deflection, password resets, access requests, and integration with ITSM platforms like ServiceNow and Jira Service Management. Glean is stronger for IT teams that want to give the rest of the organization better access to internal knowledge.
Yes, some enterprises run both. The trade-off is two contracts, two implementation timelines, and two AI assistants inside chat apps, which can fragment the employee experience. Read AI is built to remove that fragmentation by combining enterprise search, AI agents, and meeting intelligence in a single layer, so employees ask one assistant for what was decided in a call and how to action the follow-up.
Both follow a custom enterprise pricing model. Neither publishes prices publicly. Procurement typically involves a sales-led discovery call, a pilot, and an annual per-seat contract that often includes professional services fees.
Read AI is a system of intelligence and action that adds enterprise search, AI agents, and a Digital Twin (Ada) on top of the platforms teams already use, including Zoom, Google Meet, Microsoft Teams, Slack, Gmail, and Outlook. Setup runs in about 20 minutes without professional services. Read AI covers the conversation layer that Glean and Moveworks were not built to index, while still delivering the enterprise search and agent capabilities buyers expect from either of them.
Disclaimer: Tools evolve quickly. Features described here reflect capabilities at the time of writing. Verify current feature sets on each vendor's website before making decisions.
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