Building a Simple AI Workflow

What is an AI workflow?

An AI workflow is a repeatable sequence where AI handles one or more steps - and the handoffs between steps happen automatically. The point is not to use AI everywhere. It is to remove the boring, repeatable parts of a job you already do.

A good workflow has three properties: it is simple, it is repeatable, and each step has one clear tool. If a workflow needs five tools to finish one task, it is usually overbuilt.

Who is it useful for?

AI workflows suit anyone with a repeatable process that currently takes manual handoffs:

• Marketers moving leads from a form to a CRM to an email sequence
• Content teams turning a brief into a draft into a published post
• Support teams routing and summarising incoming tickets
• Founders automating admin so they can focus on delivery

If you do the same sequence of steps more than once a week, it is a candidate for a workflow.

Capture, draft, review

Almost every useful workflow has these three steps:

• Capture - get the input into one place (a form, an email, a note)
• Draft - let AI produce a first version (a reply, a summary, a post)
• Review - a person checks it before it ships

Assign one tool per step and resist adding a fourth until something clearly breaks. The review step is the one most people skip - and the one that prevents the most embarrassing mistakes.

Automate the handoffs

The time savings usually come from moving output between steps automatically, not from generating text faster. Zapier and Make connect your apps so that, for example, a new form entry triggers a draft reply and files it back where you can review it.

A common pattern: a form submission captures the input, an AI step drafts a response, and the draft lands in your inbox for review. You approve, and the next step sends it. The AI does the typing; the automation does the moving; you do the deciding.

How to keep it simple

A few rules that keep workflows maintainable:

• One tool per step - avoid chaining three AI tools to do one job
• Estimate operations - automation pricing is usage-based, so model your monthly volume
• Keep a human review step - especially for anything customer-facing
• Watch the logs - when a step fails, you want to know which one
• Rebuild over patch - if a workflow gets tangled, rebuild it simpler rather than adding fixes

A simple workflow that runs every day beats a clever one that breaks weekly.

AI automation tools to consider

The two main no-code automation platforms:

• Zapier - large connector library, easy to learn
• Make - cheaper for complex multi-step workflows

Browse the full AI Automation Tools category, or compare tools side by side before you commit.

Frequently Asked Questions