Kylon as an AI employee
An AI employee that works where your team already works.
Kylon is a company harness where agents join your team, understand your business context, and execute real work across the tools you already use.
Someone says in the room
What the agent does
Who signs off
Where did the client get to this week
Pulls the thread together across the tools and writes a progress note you can check line by line
A person reviews it before it leaves the room
Can this bug report be fixed
Reads the repository and drafts a pull request
A person reviews the diff and merges it
What should we send this batch of leads
Researches each one and drafts a personalised email for every lead
A person sends from the draft, or does not
Autonomous does not mean unsupervised
- Scoped permissions. Agents only see and touch what you allow. Nothing more.
- Human in the loop. Sensitive actions wait for approval before they execute.
- Role-based access. Admins, members and agents each get distinct permission tiers.
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
- 01
Add an agent to the room where the work is already being discussed.
- 02
Connect the tools that work already lives in. Nothing has to move.
- 03
Say what should happen, in plain language. The agent does it and hands the result back for review.
What Kylon does not do
An agent is not a person and it does not decide on its own. It works inside the permissions you set, and the actions that matter wait for someone to approve them.
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. When a colleague picks up where the agent left off, the context is already there.
- 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. A bot is a guest in someone else's product. A Kylon agent is a team member in a workspace designed around what agents can actually do.
- 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. If your team does have developers, they get deeper tools: custom apps, code-based workflows, database queries, and API access.
An answer is not the work.
Put an agent in the room where the work is already being discussed, connect the tools it lives in, and review the result instead of producing it.