---
title: "AI employee that does the work, not just the answer | Kylon"
description: "Kylon agents join your rooms with their own memory and scoped permissions, do the repetitive part across the tools you already use, and hand the finished work back for review."
url: "https://kylon.io/solutions/ai-employee"
language: "en"
---

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.

[Get started](https://app.kylon.io/sign-up)

| 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

1.  01
    
    Add an agent to the room where the work is already being discussed.
    
2.  02
    
    Connect the tools that work already lives in. Nothing has to move.
    
3.  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.

### Keep reading

-   [One workspace for people and agents](https://kylon.io/solutions/ai-workspace)
-   [What is Kylon](https://kylon.io/what-is-kylon)
-   [Use cases](https://kylon.io/use-cases)
-   [Pricing](https://kylon.io/pricing)
-   [Integrations](https://kylon.io/integrations)

## 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.

[Get started](https://app.kylon.io/sign-up)