Create AI teams for your business workflows.
An AI workflow is a multi-step business process — like researching a topic, synthesizing findings, and preparing a report — where AI workers handle individual tasks and pass context to each other automatically, instead of one tool trying to do everything at once.
- ✓Research workerGathered 14 sources on Q3 market trends.
- ✓Synthesis workerDrafted a structured summary from the research.
- 3Waiting for reviewRouted to Jordan for approval before it ships.
Multi-step work, coordinated.
Instead of a single AI call producing one output, a workflow breaks a goal into stages, with each AI worker picking up where the last one left off.
- 1Research worker gathers sources relevant to the goal.
- 2Synthesis worker organizes findings into a structured draft.
- 3Draft is routed for human review before it's finalized.
- 4Approved report is delivered or published.
Every workflow starts from four decisions.
An AI workflow isn't a black box — it's built from a small set of choices you make up front, the same ones you'd see in Agent Studio on the Platform page.
The goal
Describe the outcome in plain language — what you want at the end of the workflow.
The workers
Assign specific tasks within that goal to individual AI workers, each with its own instructions.
Approval stages
Choose which steps need a person to sign off before the workflow continues.
Where it lands
Decide where finished output goes — shared back to you, or delivered to a destination you configure.
What an AI workflow can help with.
These are examples of the kind of multi-step work AI Workflows is designed to support — not every example is a fully supported capability today.
Research and reporting
Research a topic, synthesize findings, and prepare a report for review.
Content production
Generate content, route it for review, and prepare it for approval.
Data summaries
Analyze data and create a business summary for your team.
Operational tasks
Automate repetitive operational tasks that follow a consistent pattern.
Competitive research
Pull together what's publicly known about a competitor into a short briefing.
Meeting follow-ups
Turn meeting notes into a structured list of action items and owners.
Document drafting
Prepare a first draft of a recurring document for someone on your team to finish.
Customer insight digests
Pull together recurring themes from customer feedback into a short digest.
Built for teams buried in repeatable work.
Operations teams
Coordinating multi-step processes that follow the same pattern every time.
Research & analysis
Gathering sources and turning them into something your team can act on.
Content & marketing
Producing first drafts that are ready for a human editor, not a blank page.
Finance & reporting
Turning raw data into a summary someone can actually read.
Review built into the workflow.
Workflow stages can be configured to require human approval before work continues — so AI workers move things forward, but your team stays in control of what ships.
Pick the checkpoints
You decide which stages need sign-off and which can run straight through.
Nothing ships silently
Work waiting on approval sits visibly in the workflow until someone reviews it.
Full context at review
Whoever reviews a stage sees what the AI workers did to get there, not just the final output.
AI Workflows questions.
What is an AI workflow?
An AI workflow is a multi-step business process where AI workers handle individual tasks and hand off context to each other automatically, rather than one AI tool trying to do everything in a single step.
What kinds of workflows can AI workers help with?
Examples include researching a topic and preparing a report, generating content and routing it for review, analyzing data and producing a summary, and other repetitive multi-step operational tasks. Not every workflow is supported today — new capabilities are rolling out over time.
Where does a person fit into an AI workflow?
A workflow can be configured so specific stages require human review before moving on, such as approving a draft before it's sent, or confirming a summary before it's shared.
Can I organize multiple AI workers around one goal?
Yes. You can define a business goal and assign different tasks within it to different AI workers, who hand off context to each other as the workflow progresses.
How is this different from using a single AI assistant?
A single AI assistant typically handles one prompt at a time, with a person doing the work of connecting each step. An AI workflow is designed to coordinate multiple AI workers across those steps automatically, carrying context from one to the next.
Do I need technical skills to set up a workflow?
AI Workflows is designed to be configured through Agent Studio — defining a goal, assigning tasks, and choosing approval stages — rather than requiring custom code for every workflow.
Build your first AI workflow.
Book a demo to see how AI Workflows could fit your business.