Automations and AI teammates that work together
Build visual workflows, or let a team of AI employees split a project into tasks, hand work to each other and report back — with a human approval wherever you want control.
The problems it solves
If any of these sound familiar, this is for you.
Work stalls between people and tools.
One AI can't do research, writing and follow-up well all at once.
You want automation, but not without oversight.
How it works
- TriggerNew order arrives
- DecisionOrder over 500 MAD?Yes → approvalNo → automatic
- AIAI confirms with the customer
- ApprovalManager approves
- ActionInvoice and label created
- 1Pick a trigger — a new order, a message or a schedule.
- 2Add steps: AI actions, conditions, waits and approvals.
- 3Watch every run and step in a live history.
Use cases at a glance
Illustrative examples — the figures are made up to show what the outcome looks like, not real customer data.
What you get
- Visual workflow builder with triggers and conditions
- AI teams with roles, task boards and hand-offs
- Approval steps where you want a person to decide
When you need it
You're ready for this when…
- The same multi-step process happens every day.
- Tasks need different skills in sequence.
- You need an audit trail of what automation did.
If two or more of these sound like your week, you'll see results in the first days.
Use cases
How businesses like yours put it to work.
- E-commerce
a new order triggers confirmation, a stock check and an invoice, with a manager approving refunds.
- Agency
an AI team researches a brief, drafts content and hands it to a reviewer.
- Property manager
a maintenance request is triaged, assigned and followed up automatically.
Works well with
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