What is an AI workflow?

An AI workflow is a trigger, a chain of steps, and a decision somewhere in the middle. Taskade builds all three from a description, and the decision step can be a named AI agent that keeps its knowledge and its memory between runs rather than a one-off model call. That is the difference between moving data between apps and putting a colleague inside the pipeline. Every workflow below is a real, buildable flow: a live trigger from one of Taskade's 100+ bidirectional integrations, then steps drawn from the triggers those integrations pull in and the actions they push back out. Nothing here is a mockup. An AI workflow is an automation where at least one step reasons instead of copying. A classic automation says "when a form is submitted, create a row". An AI workflow says "when a form is submitted, read it, decide which team owns it, write the brief, and open the project with the checklist already filled in". The trigger and the actions are the same machinery — triggers start the run, actions do the work — but the judgment in the middle is what makes it a workflow rather than a pipe.

How do you generate an AI workflow?

Describe the outcome and let Taskade wire it. Open /create, say what should happen and when, and the trigger, the steps, and the agent are assembled for you. From there you edit it like any other automation: swap a connector, add a branch, rename the agent. The faster path for anything on this page is to open the flow you want, read its steps, and click Build this flow with AI. You get a working draft in your own workspace with your own projects attached, and you tune it from there.

What makes a Taskade AI workflow different?

The middle step is a persistent agent, not a stateless prompt. A custom agent carries three things a one-off model call cannot: Knowledge — the projects, documents, and files you attach to it, so it answers from your material rather than from a generic model's guesses. Memory — what it decided on previous runs, so the tenth intake it routes is better informed than the first. Tools — including your other automations, which it can call as steps of its own. Put concretely: a stateless step scoring an inbound request re-derives your criteria from scratch every single time. An agent that has scored two hundred of them already knows what your team actually accepts. Browse /automate/agents for the agent-first flows, and /automate/processes for the end-to-end process chains built from them.

Which AI workflow should you start with?

Start from the event you already have, not from the diagram you wish you had. You collect requests — start with an intake router. A form, an inbox, or a webhook lands, the agent classifies it, and the right project opens. You review things — start with a design or draft review. The agent reads the change and posts what it thinks, where the reviewer already looks. You hand work between people — start with a handoff or approval flow. The agent writes the context the next person needs. You report on work — start with a scheduled audit or digest. The agent describes what moved, rather than dumping a task list.

How do you design and diagram a workflow?

Every flow on this page renders its own step diagram, so you can read the shape before you build it: which event starts it, what runs in order, and where the agent sits. When you want the same picture for a workflow you already run, point a mapping agent at the project and have it write the sequence back as a comment — that flow is on this page as the workflow diagram builder. Design rules that hold up in practice: One trigger per workflow. If two events should start it, build two workflows. Put the reasoning step early, so everything downstream gets the enriched version. Give the agent a name a human would recognize — "Intake Router", "Draft Reviewer" — because that name is what appears in the run log. Let an agent call another automation instead of growing one flow to thirty steps.

Who are AI workflows for?

Operations, support, sales, marketing, engineering, and finance teams who already have the events — a form, an inbox, a payment, a pull request — and want judgment applied to them without hiring for it. No code is required at any point.

Where do you go next?

Browse every flow in the vertical at /automate, or the full index at /automate/categories. Read how triggers and actions fit together. Build the agent that sits in the middle: custom agents. Describe the workflow you want at /create and start from a draft.