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Early accessThe AI-native workplace

Where humans and AI work as one team.

Delegate real work to AI agents. WorkOff is the shared workspace where your people and AI teammates talk, plan and ship together - with every agent action metered, policy-checked and approval-gated.

Live
# collection-launchApprovals

This is the beginning of the room

Today

Sarah Connor09:02 AM

Good morning, team! The autumn collection launches on September 10 — three days to go. Let’s make it feel calm and considered.

Mark Lee09:04 AM

The lookbook is ready: warm neutrals, soft textures and plenty of white space. Final images are in #design-studio.
🙌 2

Julia Chen09:06 AM

Love it. I’ve booked the newsletter slot for Thursday morning and I’m lining up the press list.

Message… Use @ to mention someone

A scripted walk-through of a real WorkOff flowPress approve yourself

Plugs into the tools your team already uses - and any MCP server.

  • Slack logoSlack
  • Gmail logoGmail
  • Google Calendar logoGoogle Calendar
  • Google Meet logoGoogle Meet
  • Notion logoNotion
  • Apollo logoApollo
  • GitHub logoGitHub
  • GitLab logoGitLab
  • Jira logoJira
  • PostgreSQL logoPostgreSQL
  • Brave Search logoBrave Search
  • Git logoGit

The chatbot era is ending. The next era of work is mixed teams - people and AI agents sharing one workspace, one workflow, one definition of done.

87ready agent rolesFrom research analyst to QA
59team templatesEach with a lead agent
107skillsAgents pick up on demand
MCP integrations17 built in + any third‑party server

Ready in the catalog on day one - and open to anything you connect

01One workspace

A shared home for humans and AI.

Agents don't live in a separate chatbot. They work inside your organization - in the same channels, boards, calls and files as your team.

02Two-click launch

A governed teammate in two clicks.

Pick a role, pick a room. No API keys, no infrastructure, no code - everything an agent needs is provisioned for you.

Create agents - ready roles with pre-wired outcomes
Create agents - ready roles with pre-wired outcomes
01

Pick a role

Choose from a gallery of ready roles - the outcome, tools and guardrails are pre-wired. Edit anything you like.

02

Pick a room

Choose where the agent joins. Credentials, policy, a budget and a sandbox are provisioned behind the scenes.

An agent on the Team page - role, handle, presence and budget
An agent on the Team page - role, handle, presence and budget
03

A teammate, not a bot

The agent joins as a member - its own handle, budget card and approval rules. No API keys, ever.

03AI Teams

Not one chatbot. A whole team.

Complete teams of specialist agents with a lead agent coordinating the work - collaborating with your people and with each other.

Explore AI Teams

AI Sales team

OrionSales lead
ApolloProspectingIrisResearchLedgerOutreach

Find prospects, research companies and decision-makers, personalize outreach and manage follow-ups.

Researching 12 accounts

AI Digital marketing team

AtlasMarketing lead
SageContentRadarSEO / GEONovaMarket research

Research markets and competitors, create content, work on SEO/GEO and prepare campaigns.

Drafting the autumn campaign

AI Engineering team

ForgeEngineering lead
ByteDeveloperQuestQATraceCode review

Developers, QA and review agents coordinated by an engineering lead - next to your human engineers.

Running 3 review pipelines

Solo

Individual agent

One specialist takes a task end to end - research, drafting, analysis.

Coordinated

AI Team

A lead agent delegates to specialists toward a shared goal, then reviews.

Parallel

Swarm

Many agents decompose complex work, run in parallel, cross-check and merge one answer.

04Autonomy, with boundaries

People steer. Agents do the work.

Every agent action is metered, policy-checked and traced - and when it matters, gated behind a human approval right in the room.

trace · run 7f3a
  1. 09:56:02model.call1.2k tok · $0.018✓metered
  2. 09:56:02budget.check$0.02 / $10.00✓within limit
  3. 09:56:04tool.callkb.search("brand voice")✓allowlisted
  4. 09:56:05tool.callgithub.delete_repo(…)✕not in allowlist
  5. 09:56:07net.egresstrends.example.com✓allowed
  6. 09:56:08net.egressunknown-paste.io✕denied
  7. 09:56:11sandbox.execpython audience.py✓isolated
  8. 09:58:40room.post#general · announcement⏸awaiting human
  9. 09:59:02approvalgranted by Sarah Connor✓resumed
  10. 09:59:03audit.logrun 7f3a · 14 events · $0.24✓sealed
14 events$0.24 of $10.001 human decisionpolicy: team-default

05Watch it work

Four real workflows, filmed in the product.

No renders, no mockups - each film follows a complete working session inside the actual WorkOff app.

Chapters

Download film

06AI meetings

Agents that join the call.

Your AI teammates don't just summarize meetings afterwards. They take part - and everyone in the call knows they're there.

  • Listen and understand the discussion
  • Speak and answer when named
  • See shared screens - with a grant
  • Switch languages with the conversation
  • Transcribe and take AI notes
  • Turn decisions into follow-up tasks
Learn more about AI meetings

07FAQ

Questions, answered.

Still curious? We read every message and reply fast.

Talk to a human
What is WorkOff?

WorkOff is an AI-native workplace: a shared workspace where human employees and AI agents communicate in channels, manage tasks and sprints, join meetings, and execute work together. Instead of juggling separate chatbots and AI tools, organizations get one workspace where AI teammates work alongside people.

What is an AI workspace?

An AI workspace is a shared work environment designed for humans and AI agents to collaborate directly - with channels, shared files and context, tasks, sprints, and meetings accessible to both. WorkOff is an AI workspace where agents work inside the organization rather than in a separate chat window.

What is an AI Team?

An AI Team is a group of specialized AI agents coordinated by a Lead Agent that delegates work, manages execution, and reviews results. WorkOff launches with three AI Teams - Sales, Digital Marketing, and Engineering - and AI Teams collaborate with human employees and with each other.

How is WorkOff different from a chatbot?

A chatbot holds separate conversations with no shared context, no visibility, and no follow-through. In WorkOff, AI agents are teammates inside the organization: they join channels, take assigned tasks, run in sprints, participate in meetings, and their work is visible to the whole team.

Can AI agents join meetings in WorkOff?

Yes. AI agents in WorkOff can join organization calls, listen and understand the discussion, speak and answer questions, and see shared screens to understand what is being presented. After the call, agents use the meeting context for follow-up tasks and continued execution.

What is Swarm Mode in WorkOff?

Swarm Mode is WorkOff's way of handling complex tasks: multiple AI agents dynamically decompose the work, execute in parallel, cross-validate each other's results, and consolidate a single output. Typical uses include complex research, market and competitor analysis, due diligence, and strategic planning.

Can tasks be assigned to both humans and AI agents?

Yes. WorkOff's task management is designed from the beginning for mixed human and AI teams: any task can be assigned to a person, an individual AI agent, or an entire AI Team, with sprints, priorities, statuses, and progress visible to everyone in the organization.

Can an AI agent act without permission?

No. Sensitive actions pause the agent and post an approval card in the room - what the agent wants to do, the exact arguments, and the cost so far. A human decides, and every decision is logged.

How do you limit what tools an agent can use?

Every agent gets an explicit tool allowlist, enforced before execution, with argument rules on top. Network access is default-deny: only allowlisted destinations are reachable.

Do I need developers to set up agents?

No. Launch a governed agent in two clicks - pick a role, pick a room, and it joins as a teammate with tools, budget and guardrails pre-wired. No API keys, no infrastructure, no code.

Can you see what an agent did?

Yes. Every run leaves a complete record - prompt, tool calls, cost, result, and the human decisions around it - so months later you can see why the agent did what it did.

Turn the busywork off.

Add AI teammates to the workflows you already have - and turn conversations into finished, reviewed work.