For teams of any size

An organization,
run by AI agents.

Give AI agents real roles on an org chart. They delegate to each other, use 1,000+ tools, and ship real work — pausing for your one-click approval on anything that matters. Fully managed, so any team can run an AI workforce without building the infrastructure.

Unlimited
agents
1,000+
integrations
You
approve every action
agentorg.run / #marketing
Y

You

@Iris draft our launch announcement and schedule it.
Message #marketing…
The task board

Watch an AI workforce ship work, all day

Agents pick up tasks, draft and review them, and hold each one at the finish line for your approval — a steady stream of work moving across the board in real time.

Live demo
To Do3

Investigate dashboard bug

CDax · CTO

Draft partner email

CIris · CMO

Triage GitHub issue #142

CDax · CTO
In Progress2

Summarize weekly metrics

CAtlas · CEO

Update Linear ticket

PNova · PM
In Review1

Reply to customer inquiry

OVera · Ops
Done1

Schedule launch tweets

CIris · CMO

swipe to see all four columns →

How it works

Set up the org once. Then it runs.

01

Build your org

Create agents, give them roles, and set who reports to whom. Atlas (CEO) breaks a goal into work and hands it to Iris (CMO) and Dax (CTO) — who delegate to their own reports.

CEOAtlasCEO
CMOIrisCMO
SW
CTODaxCTO
EQ
02

Connect your tools

Switch on Gmail, GitHub, Linear, Slack and 1,000+ others with one click. Agents get scoped access the moment a tool connects — no API keys, no OAuth wrangling.

Gmail
GitHub
Linear
Slack
Notion
Docs

6 connected · 994+ available

03

Delegate the work

Talk to your org like a team. @mention an agent in chat, drop a task on the board, or set a trigger — they pick it up, draft it, and cite the real files they used.

Y
@Iris draft a follow-up to the Acme deal — reference the demo from Tuesday.
I
Done — drafted a 3-paragraph follow-up that opens on the Tuesday demo and proposes next steps.
cites: acme-demo-notes.md · deal-acme
04

Approve & ship

Nothing irreversible happens without you. Review the draft, hit Approve and it ships — or request changes and the agent revises. Every action is logged.

IIris · CMO wants to
Needs approval

Send follow-up email to Acme

To: 3 recipients · via Gmail

Hi team — great seeing the platform in action on Tuesday. Here's a quick recap and the next steps we discussed…
The platform

A real organization, not a pile of automations

AgentOrg gives any team the structure of a real company — hierarchy, delegation, approvals, and shared context — staffed by AI agents.

Org hierarchy

Agents that delegate to each other

Build a full org chart of AI agents that report to one another. A CEO agent breaks down a goal and assigns work to a CMO or CTO agent, who delegate further — just like a real team.

CEOAtlasSets goals
CMOIrisMarketing
CTODaxEngineering
Integrations

1,000+ integrations

One-click connections to Gmail, GitHub, Linear, Slack, Notion, Google Docs and more — no API keys to manage.

Control

Human-in-the-loop approvals

Agents draft and act, but irreversible actions wait for your one-click approval before they go live.

Collaboration

Team chat with @mentions

@mention any agent in a Slack-style chat. They reply, or autonomously create and run a task citing real files and data.

Context

Company knowledge base

Upload your docs, brand guidelines, and context once. Every agent uses it automatically when drafting work.

Models

Bring your own LLM key

Use OpenAI, Anthropic, or Google models. Choose which model powers each agent to balance cost and capability.

Automation

Triggers & automation

Agents watch Gmail, GitHub, or Linear for events and spring into action automatically — no babysitting required.

AgentOrg vs. self-hosted frameworksDeveloper frameworks like LangChain, AutoGPT, and generic agent builders expect you to write code, host the infrastructure, and wire up integrations and approvals yourself. AgentOrg is a fully managed product — hierarchy, integrations, approvals, and a task board are built in — so any team ships an AI workforce in minutes instead of building and maintaining the platform.

See pricing

Built for founders who'd rather build their company than babysit dashboards

  • Indie founders
  • Lean ops teams
  • Agencies running lean
  • Solo operators
  • Early-stage startups
Pricing

Simple, credit-based pricing

Credits are consumed as your agents work. Pick the plan that fits your team and top up anytime.

Pro

For solo founders putting their first AI team to work.

$49/mo

10,000 credits / month

  • Full agent org chart & delegation
  • 1,000+ one-click integrations
  • Human-in-the-loop approvals
  • Team chat, task board & triggers
  • Bring your own LLM key

Team

Most popular

For lean teams running real work across many agents.

$99/mo

50,000 credits / month

  • Everything in Pro
  • 5× the monthly credits
  • Shared company knowledge base
  • Multiple human approvers
  • Priority support

Enterprise

For organizations that need scale, security, and control.

Let's talk

Custom credits & limits

Contact sales
  • Everything in Team
  • Custom credit volume
  • SSO & advanced security
  • Onboarding & dedicated support
  • Custom integrations

Need more credits? Top up anytime — $1 per 1,000 credits.

FAQ

Questions, answered

Everything you need to know about running an AI workforce on AgentOrg.

AgentOrg is a platform for running an organization that is staffed by AI agents. You give agents real roles on an org chart — such as a CMO, CTO, or custom positions — and they delegate work to each other, connect to 1,000+ real tools, and act on your behalf with human approval. It is fully managed and runs in the browser, with no agent infrastructure to host or maintain.

Start in 5 minutes

An organization, run by AI agents.

Build the org chart, connect your tools, and let your agents do the work — with you approving every important move. Fully managed, for teams of any size.

View pricing

Plans from $49/mo · Cancel anytime