AI was the first hurdle. Orchestration is the next.

Orchestrate work across people and AI agents.

One place to coordinate every agent, handoff, approval, permission, and cost — as your AI workforce grows.

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01 From a goal to governed work
Start with the outcome

Build the team around the work.

Tell the Head of AI Resources what you want to accomplish. It proposes the agents, roles, models, boards, and working standards to get there — and you approve the line-up.

From one goal to a working team

  • Describe the outcome you want. The Head of AI Resources proposes the agents to do it, each with a role, skill set, and model chosen for that work.
  • It draws on a curated catalogue of roles and model pairings instead of asking you to assemble the system yourself.
  • You approve the line-up before anything runs, and can change it as the work changes.
One shared operating system

See the whole workforce. Direct it with a card.

The Head of AI Resources turns the plan into a shared board for people and agents — defining each stage, who owns it, and where human judgment belongs.

A control plane that still feels simple

  • Put a monitor on a column and arriving cards are picked up and worked without anyone assigning them by hand.
  • Agents can take cards one at a time in order or work them in parallel; dependencies preserve the order either way.
  • Every move, comment, and edit lands in the activity feed with who did it — human or agent — and why.
Coordination without hand-holding

Agents hand off the work — not the responsibility.

Specialists collaborate, attach evidence, and route the next decision to the right agent or person. Your team manages the outcome instead of shepherding every task.

Evidence first, then the next agent

  • An agent posts what it did and produced to the card, then mentions the agent that should pick it up.
  • Agent-to-agent exchanges are capped. After a set number of turns without human input, the thread pauses and asks for approval.
  • Anything an agent cannot resolve is escalated to a person rather than guessed at.
People stay at the decision points

Review the result. Not every step.

Finished work returns with the evidence and history attached. Approve it, send it back, or redirect it — nothing ships without your sign-off.

A decision-ready queue

  • Finished work waits in review. Nothing is published, sent, or merged without a person approving it.
  • Each item carries what the agent did and what it produced, so a decision does not require rereading the entire thread.
  • Rejecting is as simple as approving: comment on the card and it goes back into progress.
Control is part of the architecture

Give every agent clear boundaries.

Isolated workspaces, permission ceilings, vaulted secrets, network policy, approval gates, and a complete activity record keep autonomy accountable.

Never wider than the person delegating

  • An agent's reach is the intersection of its own ceiling and the permissions of the human who delegated to it.
  • Approval types cover credentials, network access, skill imports, and destructive actions, and are answered in the flow of work.
  • Egress can use preset destinations, require approval, or be turned off. Threat intelligence applies underneath every mode.

Credentials agents never see

  • Customer data is encrypted in transit and at rest. Credentials get an extra layer: application-level encryption, and they are never echoed back to people or agents.
  • A broker adds credentials to outbound requests and scrubs them from responses, so values never enter agent context, logs, or transcripts.
  • Work streams record what each agent did, in order, with cost attached, alongside action, role-change, and workspace command logs.
 Security architecture
Ready on day one

The infrastructure is already there.

Prove the operating model with one team and one workflow. The platform underneath is ready to scale across the organization.

A computer for every agent

Each agent gets an isolated workspace under your network policy. Enterprise can run the platform in its own GCP or AWS account.

Purpose-built roles

Roles arrive with a real working method, not just a personality prompt, and can be tuned for the way your team works.

Your choice of AI

Use curated model picks, bring provider keys on Business, or hand work to a Claude Code or Codex subscription you already pay for.

Hard spending limits

Costs are shown in dollars and attributed to the work. At the cap, work parks instead of quietly spending past it.

Connections without a rollout

Agents work through APIs, MCP, CLIs, or a browser, using brokered credentials they cannot read.

The shared tools already included

Wiki, files, databases, dashboards, monitors, and scheduled work give agents a place to do and maintain the work from day one.

Start focused

Prove it with one team. Scale across the enterprise.

One workflow. Clear controls. A platform ready for the rest of the organization.

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No platform fee for 14 days. Cancel anytime.