Guru Knowledge Agents: Enterprise-Grade Chat, Research, and MCP (UFOH Launch)

Watch the launch episode of Unfiltered Office Hours and see Guru’s enterprise-grade Chat, Research Mode, and MCP connectivity in action—trusted, permission-aware AI your teams can use anywhere.

Meet Your Knowledge Agents: Enterprise-Grade Chat, Research, and MCP (UFOH Launch Edition)

We’re back with another episode of Unfiltered Office Hours—our lo-fi, unfiltered show where we talk about how AI actually works at work. This time we brought the whole crew to launch something big: Guru’s enterprise-grade Chat, Research Mode, and MCP connectivity—three ways to work with the same trusted foundation: your Knowledge Agents.

Watch the full episode above! Below you'll find quick, human-readable breakdown of what’s live, what’s next, and why it matters for teams who can’t afford black-box AI.

Why “just chat” doesn’t work at work

Consumer chat tools are great for personal productivity. But when you try to use them as the front door to company knowledge, you get three problems fast:

  1. Splintered context. Everyone uploads their own docs and builds their own mini-agents, so teams stop sharing a single source of truth.
  2. Permissions go out the window. If a tool can’t respect role-based access, sensitive data leaks into answers.
  3. No visibility. Leaders can’t see what’s being asked or answered—so they can’t govern, improve, or even trust the output.

We built Guru specifically to fix those three issues—without asking people to change how they like to work.

Chat: Fast answers from Knowledge Agents you can trust

Chat is the simplest way to talk to your Knowledge Agents—specialized, expert-trained assistants (like HR Benefits, Sales Playbook, or Security Policy). Ask a question, follow up naturally, and see exactly why the answer is what it is.

  • Permission-aware by default. Answers adapt to the asker’s role and access rights. If you shouldn’t see financial data, you won’t.
  • Explainable, never black-box. Open Answer Details to see the sources and how the response was formed.
  • Create knowledge from the conversation. When a great answer emerges, save it as a draft Guru Card—turning chat into durable, verified knowledge.

Example from the episode: a People Ops lead asks about annual healthcare costs and sees a detailed, cited answer. A new hire with different permissions asks the same question and gets a helpful, policy-safe response with guidance—not the sensitive numbers.

Learn more about Knowledge Agent Chat

Research Mode: Deep, multi-source investigations—cited in minutes

Some questions aren’t one-shot. Research Mode turns an open prompt into a plan, runs across connected sources (tickets, docs, conversations, dashboards), and returns a structured, fully-cited report you can trust.

  • You approve the plan first. See the steps before it runs.
  • Reads at enterprise scale. Hundreds or thousands of records, compiled into one explainable output.
  • Built for action. The report highlights patterns, impact, and recommended next steps—plus inline citations back to the exact calls, tickets, or documents.

In the episode, we investigated a spike in Zendesk tickets. Research Mode scanned records, surfaced causes, and produced practical remediation steps—work that used to take a cross-functional task force weeks.

Learn more about Research in Guru

MCP: Bring verified answers into Claude, ChatGPT, Copilot, and more

Your teams already use AI tools. With MCP (Model Context Protocol), your Knowledge Agents go with them.

  • Standards-based interoperability. Claude, Cursor, ChatGPT, Copilot—connect once, keep governance intact.
  • Same trust, new surfaces. Even when you’re working in another AI client, answers remain verified, permission-aware, and explainable.
  • Centralized control. All MCP interactions flow back to Guru’s AI Agent Center for visibility and improvement.

This is how we avoid “shadow agents” and keep everyone—humans and AI—pulling from the same trusted context.

Learn more about MCP

Governance without the grind: AI Agent Center

Rolling out AI at scale only works if governance is real and lightweight. The AI Agent Center gives experts and admins a living dashboard of:

  • Everything people ask—and how agents answered
  • Gaps to close (unanswered questions, stale sources)
  • One-click training (edit answers, boost sources, and save new knowledge)
  • Verification loops for high-consequence content

Result: a self-improving system where chat and research don’t just use knowledge—they make the knowledge better.

What this means for IT (and for everyone else)

  • Security & compliance: Permission-aware answers, auditable interactions, and verification workflows.
  • Adoption where work happens: Guru in the web app, Slack/Teams, browser extension—and now inside your favorite AI tools via MCP.
  • Outcomes, not outputs: Faster answers, explainable research, and a continuously improving, single source of AI truth.

Try it, see it, ship it

  • Try Chat & Research inside Guru today—free while in beta!
  • Connect Guru via MCP to the AI tools your teams already love.

Meet Your Knowledge Agents: Enterprise-Grade Chat, Research, and MCP (UFOH Launch Edition)

We’re back with another episode of Unfiltered Office Hours—our lo-fi, unfiltered show where we talk about how AI actually works at work. This time we brought the whole crew to launch something big: Guru’s enterprise-grade Chat, Research Mode, and MCP connectivity—three ways to work with the same trusted foundation: your Knowledge Agents.

Watch the full episode above! Below you'll find quick, human-readable breakdown of what’s live, what’s next, and why it matters for teams who can’t afford black-box AI.

Why “just chat” doesn’t work at work

Consumer chat tools are great for personal productivity. But when you try to use them as the front door to company knowledge, you get three problems fast:

  1. Splintered context. Everyone uploads their own docs and builds their own mini-agents, so teams stop sharing a single source of truth.
  2. Permissions go out the window. If a tool can’t respect role-based access, sensitive data leaks into answers.
  3. No visibility. Leaders can’t see what’s being asked or answered—so they can’t govern, improve, or even trust the output.

We built Guru specifically to fix those three issues—without asking people to change how they like to work.

Chat: Fast answers from Knowledge Agents you can trust

Chat is the simplest way to talk to your Knowledge Agents—specialized, expert-trained assistants (like HR Benefits, Sales Playbook, or Security Policy). Ask a question, follow up naturally, and see exactly why the answer is what it is.

  • Permission-aware by default. Answers adapt to the asker’s role and access rights. If you shouldn’t see financial data, you won’t.
  • Explainable, never black-box. Open Answer Details to see the sources and how the response was formed.
  • Create knowledge from the conversation. When a great answer emerges, save it as a draft Guru Card—turning chat into durable, verified knowledge.

Example from the episode: a People Ops lead asks about annual healthcare costs and sees a detailed, cited answer. A new hire with different permissions asks the same question and gets a helpful, policy-safe response with guidance—not the sensitive numbers.

Learn more about Knowledge Agent Chat

Research Mode: Deep, multi-source investigations—cited in minutes

Some questions aren’t one-shot. Research Mode turns an open prompt into a plan, runs across connected sources (tickets, docs, conversations, dashboards), and returns a structured, fully-cited report you can trust.

  • You approve the plan first. See the steps before it runs.
  • Reads at enterprise scale. Hundreds or thousands of records, compiled into one explainable output.
  • Built for action. The report highlights patterns, impact, and recommended next steps—plus inline citations back to the exact calls, tickets, or documents.

In the episode, we investigated a spike in Zendesk tickets. Research Mode scanned records, surfaced causes, and produced practical remediation steps—work that used to take a cross-functional task force weeks.

Learn more about Research in Guru

MCP: Bring verified answers into Claude, ChatGPT, Copilot, and more

Your teams already use AI tools. With MCP (Model Context Protocol), your Knowledge Agents go with them.

  • Standards-based interoperability. Claude, Cursor, ChatGPT, Copilot—connect once, keep governance intact.
  • Same trust, new surfaces. Even when you’re working in another AI client, answers remain verified, permission-aware, and explainable.
  • Centralized control. All MCP interactions flow back to Guru’s AI Agent Center for visibility and improvement.

This is how we avoid “shadow agents” and keep everyone—humans and AI—pulling from the same trusted context.

Learn more about MCP

Governance without the grind: AI Agent Center

Rolling out AI at scale only works if governance is real and lightweight. The AI Agent Center gives experts and admins a living dashboard of:

  • Everything people ask—and how agents answered
  • Gaps to close (unanswered questions, stale sources)
  • One-click training (edit answers, boost sources, and save new knowledge)
  • Verification loops for high-consequence content

Result: a self-improving system where chat and research don’t just use knowledge—they make the knowledge better.

What this means for IT (and for everyone else)

  • Security & compliance: Permission-aware answers, auditable interactions, and verification workflows.
  • Adoption where work happens: Guru in the web app, Slack/Teams, browser extension—and now inside your favorite AI tools via MCP.
  • Outcomes, not outputs: Faster answers, explainable research, and a continuously improving, single source of AI truth.

Try it, see it, ship it

  • Try Chat & Research inside Guru today—free while in beta!
  • Connect Guru via MCP to the AI tools your teams already love.
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