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Document management Working integration

Connect Notion to AI: answers from the workspace instead of a search box

Notion can be connected to AI. The assistant searches whatever has been shared with the connector, pulls exactly the rows a question needs out of a database, reads a page and can add or update a page or a row when you ask. You set the reach in Notion itself: what you do not share, the assistant does not see.

For many teams Notion is the handbook, the project administration and the archive all at once. Which is exactly why nobody finds anything in it. The roadmap lives in a database, the agreements in a page underneath, and the decision you are after sits halfway through a note from four months ago. New colleagues end up asking questions that were answered long ago, and the people who do know get interrupted all day. The connector works with the two things Notion knows: databases with properties, and pages with free text. When you do not know where something lives, the assistant searches broadly first and narrows down after. For a database it questions the properties your own team uses there, such as a status, a quarter or an owner. For a long page it gives the core and names the page it came from, so somebody can read it back. What it does not do is pull in the whole workspace: it only sees what has explicitly been shared with the connector.

What the connector takes out of Notion and puts into it

Searching what has been shared

When nobody knows whether something sits in a database or in a loose page, the assistant searches everything shared with the connector and comes back with where it is.

Questioning a database

Out of a database it pulls the rows that belong to the question, bounded by the properties your team actually uses and in the order you want. Not a whole table, just what you asked for.

Reading a page

Once the right page is found it reads the content. For a long page it gives the core and the source, so you can click through yourself when you want the detail.

Adding a page or a row

On request it creates a new page in the place you point at. Inside a database that means one extra row, filled in according to the properties that database uses.

Updating a property

On an existing page it adjusts something like the status or the owner, and finished work can be archived. That is a change everyone in the workspace sees, so it only happens when you ask.

Work that comes out of the workspace itself

HR and recruitment

Situation
In their first weeks new colleagues ask questions whose answers sit somewhere in the handbook, spread over dozens of pages.
What the agent does
The assistant searches the shared pages, answers in plain language and names the page the answer came from.
Result
Answers come out of the handbook itself, and the people who wrote it get interrupted less often.

Product team

Situation
The roadmap sits in a database with a status, a quarter and an owner, and everybody wants something different out of it.
What the agent does
The assistant pulls the rows that match the question and puts them in whatever order is useful at that moment.
Result
A current list straight from the source, without yet another extra view being created that then lingers.

Legal

Situation
Contract terms are summarised in a database, but the nuance lives in the page under each row.
What the agent does
The assistant finds the row for the counterparty and then reads the page hanging underneath it.
Result
An answer that combines the summary with the underlying text, with the source attached.

Operations

Situation
After an incident a short evaluation has to go into the incident database, and in practice that happens days later or not at all.
What the agent does
On request the assistant adds the row with the details the database expects and writes the summary on the page underneath.
Result
The record exists while the details are still accurate, in the format the team already uses.

Management

Situation
Ahead of a quarterly meeting it has to be clear which projects are finished and which have stalled.
What the agent does
The assistant walks the projects database and lists the state of each project with its owner.
Result
An overview based on the team's own administration rather than on a one-off export.

From sharing to the first answer

  1. 1

    Switching the connector on

    You grant the connector permission from your own Notion environment. That permission is yours and can be withdrawn in one move.

  2. 2

    Sharing sets the reach

    A connector sees nothing until you share a page or database with it. Share a parent page and everything underneath joins in. That choice is made in Notion, not with us.

  3. 3

    What the assistant gets to see

    It sees the shared pages and databases and, inside those, the rows and passages that belong to the question. A space that has not been shared does not exist for it.

  4. 4

    What is recorded

    Every consultation and every change lands in the IntraGPT log. In Notion itself the connector simply appears in the history of a new or changed page.

Connected securely

Sharing decides what the AI sees

With Notion the most important boundary is not a setting on our side but what you share with the connector. That makes the reach visible and reversible page by page.

Where the data lives: Nederland of de EU

Only what is shared

The connector has no access to the workspace as a whole. What nobody shares never appears in any answer. A shared page is taken back out with the same action.

Access you manage

The connector belongs to your Notion environment and can be withdrawn there. IntraGPT keeps no employee credentials.

Roles on the IntraGPT side

You decide which assistants use this source and which employees may address those assistants. An assistant for the shop floor has no business knowing the HR space.

A server of our own

The content of your pages is processed on our own server in the Netherlands. That text does not go to an American model provider and is not used for training.

What customers ask about Notion

Can I connect Notion to ChatGPT?

ChatGPT has no managed connection to your workspace and can do nothing with the sharing Notion uses. IntraGPT does work that way: the connector sees exactly the pages you share, every action is recorded, and the model runs on a server of our own.

Does IntraGPT work with Notion?

Yes. Notion is a working integration already in use at customers. The assistant searches shared pages, questions databases, reads pages and can add or update something on request. What gets shared is up to you.

Does the assistant see our whole workspace?

No, only what has explicitly been shared with the connector. That is also why a page is sometimes not found: it was never shared. Share the parent page and everything underneath joins in at once, and that is just as easily undone.

Can the assistant create or change pages itself?

Only if you switch that on, and only on an explicit request. It first shows what it wants to add or change and where it will land. Deleting is not part of it; at most it archives finished work, and that is reversible in Notion.

Our databases are set up in a very particular way, does that work?

Yes. The assistant works with the properties as your team named them, not with a standard layout we impose. It does help if the most important databases are filled in reasonably consistently; we walk through that together during setup.

Can we withdraw the connection again?

Yes, and an administrator can do it alone. You take the connector out of the shared pages or withdraw the permission in the Notion environment, and after that the assistant sees nothing. What happened until then stays readable in the log.

What does a Notion connector cost?

Connecting sits inside the project we run together. What drives the work is how many spaces and databases take part, how consistently they are filled in and whether the assistant may also write. We work that out in the first conversation.

How long does setup take?

Switching the connector on takes a few minutes. After that it is mostly a matter of walking through what gets shared; in a large workspace that is a short conversation with the owners of those spaces. Widening the reach later is always possible.

For which sectors

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