What is an AI workflow?

Most people use AI one question at a time. You open a chat, paste something in, copy the answer out. That's useful, but you're still the one doing the work of moving information around.

An AI workflow is different. It's a job that runs the same way every time, connected to your real tools, so the AI can read what it needs and put the result where it belongs.

The three parts of every workflow

Every workflow we build can be described in one sentence: what comes in, what gets done, and where it goes.

• What comes in: an email, a call recording, a form, a new row in a sheet, a time of day.
• What gets done: the AI reads it, sorts it, summarizes it, drafts a reply or makes a decision using rules you set.
• Where it goes: a draft in Gmail, a note in your CRM, a message in Slack, a row in a sheet, a text to your phone.

Examples

• After every sales call, the recording comes in, the AI writes notes and next steps, and they go into the contact's CRM record with a drafted follow-up email.
• Every morning at 7, the AI reads your calendar, inbox and open deals, and sends you a one-page brief.
• When a customer finishes a job, the AI waits a few hours, then texts them a link to leave a Google review.

What a person still does

Good workflows keep a person in the loop for anything that matters. The AI drafts the email, you send it. The AI flags the invoice, you approve it. Over time, you can let the simplest steps run on their own once you trust them.

How to pick your first one

1. List what repeats. Write down tasks you do every day or every week that follow roughly the same steps.
2. Find the one that costs money. Missed calls, slow follow-ups and unpaid invoices usually cost more than the rest combined.
3. Write the one sentence. What comes in, what gets done, where it goes. If you can't write it, it isn't ready to automate yet.
4. Start with drafts. Have the AI prepare the work and a person approve it for the first few weeks.