What is an AI workflow? Build reliable agent processes
A workflow turns a business process into an explicit graph. The model can reason inside an agent step, while the surrounding sequence keeps triggers, tools, branches, approvals, and outputs predictable.
The concept
A plain-language definition before the product implementation.
A workflow defines the path and what done means
Agents are useful when the path is open-ended. Workflows are useful when the process itself matters. A workflow defines the steps, their order, the data passed between them, and the points where work can branch, pause, or wait for a person.
How AI Agent uses it
Combine deterministic control with agent judgment
AI Agent's workflow canvas uses real start, agent, tool, approval, condition, loop, wait, and end blocks. Runs are dispatched durably, and each step has its own status and output so a long process can be inspected instead of becoming one opaque model call.
Visual graph
See the sequence, branches, loops, and approvals as connected blocks.
Durable steps
Long-running work keeps step-level state instead of depending on one browser session.
Typed handoffs
Map inputs and outputs between steps so later work receives the expected data.
From idea to a working system.
- 01
Trigger
Start manually, on a schedule, or from a supported event.
- 02
Orchestrate
Run agents and tools in a controlled sequence with branches and approvals.
- 03
Inspect
Review each step's status, output, errors, and resulting work.
Make the process explicit when the path matters
Best for
Repeatable processes with a defined order, typed handoffs, branches, waits, approvals, or a clear definition of done.
Choose another pattern when
A one-off request whose path should remain open. Start in agent chat, then promote a proven process into a workflow.
Included in AI Agent
The product capabilities behind the idea.
- Agent, tool, approval, branch, loop, wait, and end steps
- Manual and scheduled runs
- Suspend and resume for human input
- Step-level execution history
Frequently asked questions
Keep exploring
Related product guides
Agents
An agent is the reasoning layer: it understands a goal, decides which approved tools to use, and works toward an outcome. AI Agent gives that reasoning a clear operating contract instead of relying on one giant prompt.
Autopilots
An autopilot is a workflow promoted into recurring operations. It runs a defined agent and runbook on a schedule while keeping customer-facing or destructive actions behind approval.
Human approval
Human approval puts a deliberate checkpoint between agent reasoning and a consequential action. The agent can prepare the work, while a person decides whether it should be applied.
Build the smallest useful version first.
Start with the agent and one real task. Add workflow control, context, and approvals when the work shows you where they matter.