What Is a Company Brain? An AI Brain for Teams

A company brain is an AI agent that answers questions from what your team has already written across connected apps, docs and conversations. It gives you the answer along with its sources, so you can see what was decided, who wrote it and when. It also follows the access rules on those sources, so people only see what they’re allowed to see.

What a company brain is

Your team has already answered a lot of the questions people ask at work. The answer might be sitting in a proposal, a meeting note, a chat thread or an email. To find it, you have to know where to look and what words someone used.

A company brain lets you start with the question instead.

Say you ask, “What did we decide about annual pricing?” You want the decision, the reason for it and the record behind it. Then you want to get back to work without sorting through a pile of search results.

That’s what an AI brain for teams should give you. It answers from your company’s own material and makes that material easy to check. People still make the decisions. It just helps the whole team use what the team already knows.

If you’re looking for a company knowledge base AI, ask this first: can it explain the answer from your records, or does it hand you another list of documents?

Why the old wiki approach goes stale

A wiki can be useful. A clear policy page or onboarding guide gives people a place to start. The trouble is the work it takes to keep that page in line with what the team decides.

A policy changes in a meeting. Someone explains an exception in chat. A customer promise ends up in an email. Unless someone carries those changes back to the wiki, the page stays put while the work moves on.

Then the next person has to wonder if the page is still right. They dig through messages, compare dates and interrupt the teammate who remembers the discussion.

A company brain can pull from the places where that work happened. Your team still needs clear decisions and people who keep important records accurate. But someone asking a question shouldn’t have to piece the whole conversation back together first.

What a good AI brain for teams does

Searches connected sources together

You shouldn’t have to search every app one by one. The AI agent should look across the sources you’ve connected in one pass, limited to what those connections can access.

This helps when the answer lives in more than one place. A planning doc might explain the proposal, a chat might hold the decision, and a table might have the current terms.

Links claims to their sources

You should be able to check each fact in an answer against the record behind it. Source links, dates and authors show where the answer came from and whether it fits your question.

If an answer sounds sure of itself but has no trail, you’re left checking everything yourself.

Shows disagreements

When sources disagree, the answer should show both versions and say which one is newer. Mixing them together would give you a compromise nobody agreed to.

Newer doesn’t always mean approved. A recent draft can clash with an older policy that still applies. When you can see the records, your team can sort out the difference.

Says when it doesn’t know

Sometimes the decision was never written down, or the source that has it isn’t available. A useful answer says what’s missing and doesn’t guess. It can also suggest who might know, so you have a next step.

Respects each person’s access

Making knowledge easy to reach shouldn’t remove its limits. People should only get answers from material they’re allowed to see. Asking about a private document in a shared space shouldn’t make it public.

A worked example: “What did we decide about annual pricing?”

Imagine a made-up company called Cedar Lane. Maya just joined the sales team and asks:

The company’s records include an early proposal, a later decision and a current sales guide. A useful answer might look like this:

These names, terms and records are made up. In a real answer, the source titles would link to the actual material.

Now Maya can see the approved terms, why an older number might show up in search, and the one part a person still needs to answer. She can open the decision before she brings it up with a customer.

How to set up a company brain in Hops

1. Connect the apps where your team works

Connect sources such as Google Drive, Slack, Gmail and Notion. Hops can use them alongside Docs and Tables in Spaces, so you can ask one question across your team’s work.

Start with the sources that hold answers to the questions you have. Each connection’s access decides what Hops can read.

2. Optionally pin key docs in a company Space

If you have key policies, plans or decision records, pin them in a company Space’s context so Hops checks them first.

You can skip this step. You don’t need to copy everything into a new wiki before you ask a question. Pinning gives your most important records a clear spot, even though they won’t hold every answer.

3. Ask a real work question

Try a question you’d usually send to a teammate, like “What did we agree with this customer?” or “What’s our policy on annual contracts?”

Hops answers with linked sources, dates and authors. When records conflict, it shows both sides and which is newer. When it doesn’t know, it says so and suggests who might.

If you want the team to have the answer too, ask, “Save this as a doc.” Hops writes it to the Space. The Company AI brain guide walks through this workflow.

Connect your team’s sources and ask your first question with Hops Company AI brain.

Related reading: What is an AI workspace?, AI agents examples