AI Workplace Search That Finds the Answer, Not Just the File
Coworker is AI workplace search for your whole company. Ask in plain language and get one sourced answer drawn from Slack, Jira, Google Drive, Salesforce and 50+ other tools, limited to what each person can already see, with agents ready to act on what you find.
work tools searched at once
lower AI token cost with OM2 in Coworker's 100-task benchmark
proof of concept on your own data
What Is AI Workplace Search?
AI workplace search lets employees ask one question in plain language and get a direct, sourced answer drawn from every work tool their company uses, instead of a list of links per app. Coworker is AI workplace search built on a permission-aware company graph (OM2) across 50+ tools, so answers reflect people, projects and decisions, not just keyword matches.
Traditional workplace search indexes documents and returns matches. Coworker connects the conversations, tickets, records and meetings around those documents, so a question like "where does the Acme renewal stand?" comes back with the CRM stage, the open support tickets and the last Slack thread in one answer.
Every answer follows the access rules of the source system. If someone cannot open a file in Google Drive or a channel in Slack, Coworker will not use it to answer their question.
Why Keyword Workplace Search Leaves Work Unfinished
Results Without Context: Keyword search returns documents, not answers. People still have to open five tabs and piece together the decision, the owner and the current status.
Knowledge Lives Outside Documents: The real answer is often in a Slack thread, a Jira comment or a call recap. Search that treats those as separate silos misses it.
Security Slows Adoption: Teams hesitate to roll out AI search when they are not sure it respects who can see what. Permission-aware search removes that blocker.
Finding Is Only Half the Job: Once you find the answer, someone still has to update the ticket, draft the follow-up or brief the team.
What AI Workplace Search With Coworker Delivers
One Answer, Every Source: Ask once and get a single answer that cites the Slack thread, the Jira ticket and the Salesforce record behind it.
Context That Builds Over Time: OM2 keeps connecting people, projects, customers and decisions as work happens, so answers reflect where things stand today.
Expertise on Demand: Find who owns a project, who decided what and why, without asking around in five channels.
From Search to Done: Coworker agents turn an answer into action, drafting the email, updating the CRM or filing the ticket, with a person approving each write.
How Teams Use AI Workplace Search
Sales: Prep for a call with one question that pulls the deal stage, recent emails, open tickets and the last meeting recap.
Customer Success: See every signal on an account before a renewal, from support volume to product feedback in Slack.
Engineering: Find why a decision was made by searching the Jira history, the GitHub discussion and the design doc together.
Operations and Leadership: Get a status across teams without chasing updates, grounded in the tools where the work actually happens.
Connects to your entire stack
50+ OAuth connectors. Permissioned and secure. Your agents work across every tool your team already uses.
Enterprise Security for AI Workplace Search
Coworker is SOC 2 Type II certified, GDPR compliant and CASA Tier 2 verified.
Answers follow the permissions of every connected tool, so each person only sees what they can already access in the source.
Data is encrypted in transit and at rest, protected by multi-factor authentication and layered access controls.
Open models run in the US and Canada, and enterprises can choose a self-hosted appliance in their own AWS or Google Cloud environment under a signed agreement.
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Learn moreFAQ
Frequently asked questions
AI workplace search lets employees ask a question in plain language and get one sourced answer drawn from all their work tools, instead of a list of links per app. Coworker is AI workplace search across 50+ tools, built on a permission-aware company graph, so answers reflect people, projects and decisions and respect who can see what.
Coworker is the best enterprise AI search platform for teams that want answers and action in one place: it searches 50+ work tools through a permission-aware company graph, then runs agents that act on the result. Glean is a strong choice for search-first deployments with a large connector catalog. Test both on your own data.
Coworker reads each source system's access rules along with the content and filters every answer by the person asking. If someone cannot open a Google Drive file or a private Slack channel, Coworker will not use it in their answer, so rolling out AI search does not widen who can see what.
Coworker fits that stack well. It connects natively to Slack, Jira, Confluence and Salesforce, plus 50+ other tools, answers questions across all of them in one place, and can update Jira or Salesforce with a person approving each change. Teams can also use the same context inside Claude, ChatGPT and Cursor through Coworker MCP.
Classic enterprise search indexes documents and ranks matches for a query. AI workplace search reads across documents, chats, tickets and records to write a direct answer with sources. Coworker adds a company graph that tracks how people, projects and decisions connect, so the answer includes context a keyword match would miss.
Yes. In Coworker, an answer can become an action in the same conversation: draft the follow-up email, update the Salesforce opportunity or create the Jira ticket. Writes to your systems wait for a person to confirm, so search turns into finished work without losing control.
Coworker connects to 50+ work tools, including Slack, Microsoft Teams, Gmail, Google Drive, Confluence, Notion, Jira, Linear, GitHub, Salesforce, HubSpot, Zendesk and Snowflake. One question can search across all of them at once.
Most teams connect their core tools and start searching within a few days, and complex enterprise rollouts typically take one to two weeks. Coworker can also run a proof of concept on your own data within 48 hours.
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