AI Employee OS Guide

Understand the platform, its concepts and deployment options.

Welcome

I can explain AI Employees, Agents, Knowledge, Collections, Workspaces, Workflows, permissions and flexible deployment—from Managed Cloud to On-Premises and customer-provided infrastructure.

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AIOSAI Employee OS

Build governed AI Employees on approved company knowledge, modular capabilities and deployment models that fit your organization.

Build an AI Employee

Platform

  • Platform overview
  • Platform Atlas
  • Knowledge
  • AI Employees
  • Agents
  • Connectors

Build & operate

  • AI Employee Builder
  • Workflow Builder
  • Permissions
  • Analytics
  • Administration
  • Enterprise

Explore

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  • Healthcare
  • Construction
  • Manufacturing
  • Demo
  • Pricing

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AI Employee OS
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Agent use cases

See how AI Employees, Agents and Workflows fit together.

An AI Employee is the digital coworker people interact with. Agents provide focused capabilities. Knowledge and permissions define what the AI Employee may use.

Browse Agent Store AI Employees vs Agents
01

HR Employee

Employee onboarding

Help new employees understand policies, responsibilities, contacts and their first meetings without replacing human support.

Installed Agents

Knowledge Search AgentDocuments AgentCalendar Agent

Approved Knowledge

Employee Handbook

Department policies

Onboarding checklist

Example workflow

1

New employee asks a question

2

HR Employee checks approved Knowledge

3

Relevant Agent supports the task

4

Human owner remains available for decisions

02

Engineering Employee

Engineering project support

Give technical teams one place to understand specifications, repository context, issues and previous decisions.

Installed Agents

GitHub AgentDocuments AgentTeam Communication Agent

Approved Knowledge

Technical documentation

Architecture decisions

Project standards

Example workflow

1

Engineer asks about a component

2

AI Employee searches approved sources

3

Repository and document context are combined

4

Answer links back to the relevant source

03

Operations Employee

Meeting preparation and follow-up

Coordinate meetings, prepare context and turn agreed next steps into a governed follow-up process.

Installed Agents

Calendar AgentEmail AgentWorkflow Agent

Approved Knowledge

Meeting templates

Project status

Decision records

Example workflow

1

User requests a meeting

2

Availability and approved context are collected

3

Invitation or draft is prepared

4

Follow-up actions wait for the required approval

04

Knowledge Employee

Company knowledge support

Help people locate trusted information across Collections while respecting Workspace and permission boundaries.

Installed Agents

Knowledge Search AgentDocuments AgentMicrosoft 365 Agent

Approved Knowledge

Policies

Product manuals

Project documentation

Example workflow

1

Employee asks a company question

2

Permissions define the accessible sources

3

Agents retrieve and compare approved context

4

AI Employee returns a source-grounded answer

One AI Employee

People communicate with one clear digital coworker for a defined role.

Only needed Agents

Install focused capabilities instead of giving every AI Employee unrestricted access.

Governed by permissions

Workspace, Collection and connector permissions remain in control.

Start with one role and one clear use case.

Choose the AI Employee, connect approved Knowledge and add only the Agents required for the work.

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