Kylon as an AI workspace

One workspace where people and AI agents do the work together.

Kylon is a company harness where agents join your team, understand your business context, and execute real work across the tools you already use.

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What the workspace holds
What that means in practice
Why an agent needs it
Structured data
Records, trackers and tables live in the workspace, not in a separate database nobody opens
The data sits where the agent works, so it can read and write it without an export
Company-wide memory
Decisions and context carry across rooms instead of resetting in every new chat
An agent can reference a decision from months ago instead of asking again
Integrations
3,000+ services connect natively, from Gmail and Slack to Salesforce and GitHub
Work happens inside the tools you already pay for, not in a copy of them

An agent room is a room with agents in it

A room in Kylon is where one piece of work lives: the thread, the files, the records and the people. Adding an agent to that room gives it the same context the team has, under permissions you set. That is what an agent room means here. It is not a separate mode or a different product surface, and nothing has to be re-explained each time someone asks for something.

Where the result goes

CRM
Salesforce · HubSpot · Pipedrive · Close · Dynamics 365
Tasks
Linear · Jira · Asana · Trello · ClickUp · monday.com
Docs
Notion · Google Docs · Google Sheets · Confluence
Comms
Slack · Gmail · Outlook · Microsoft Teams

How it works

  1. 01

    Open a room for the work, or use one your team already has.

  2. 02

    Connect the tools and add the records the work depends on.

  3. 03

    Add an agent to the room. It reads the same context your team does, within the permissions you set.

What Kylon does not do

Kylon is not a Slack or Teams add-on, it is a workspace of its own. If your team lives entirely inside Teams and has no intention of moving, a product that lives there is less work for you. What we trade that for is shared company context, execution you can review, and a method that stays after the run.

Questions people ask

My team already uses ChatGPT / Claude. Why do I need a separate workspace?
ChatGPT and Claude are powerful thinking tools, but the work stays in a personal chat window. You copy context in, copy answers out, and nobody else on the team sees what happened. Kylon agents sit in the same rooms as your team. They read the thread that's already happening, remember last week's decisions, connect to your CRM and GitHub, and post the finished work where everyone can see it.
How is this different from adding an AI bot to Slack or Teams?
A Slack or Teams bot can read messages and reply. That's roughly where it ends. Kylon agents carry persistent memory across conversations. They build and query databases. They run multi-step workflows on a schedule or a trigger. They connect to 3,000+ services and take real action inside them. And every action is governed by scoped permissions and human approval gates.
Do I need technical staff to set it up and maintain it?
No. You describe what you need in plain language, and agents do the rest: build a tracker, set up a recurring report, connect your email, triage support tickets. No code, no configuration files, no IT ticket.

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One place for the work, and for the team that does it.

Bring the tools and the records into one workspace, put agents in the rooms where the work is discussed, and keep the context after the run.

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