Workflow 016: The BOSAI Method

This is the shortest thing you'll ever need to read about building AI automations.

There are five steps. That's the whole method.

BOSAI is Blueprint, Organize, Systematize, Assign, Integrate. It's the process behind every workflow in this series, and it's what I run with every client. The order matters more than the tools, because four of the five steps happen before AI is involved at all.

What this replaces

Buying tools and hoping.

The mistake I see most is people starting at the automation platform. They open n8n or Make, stare at a blank canvas, and try to build something for a process they've never written down.

Then it half works, and they can't tell whether the tool is bad or the process was.

Blueprint

Write down or record how the work currently gets done.

Not how it should be done. How it actually happens right now. A brain dump, a screen recording, you talking through it out loud. Whatever gets it out of your head.

If you can't describe the process, you cannot automate it. Everything after this step depends on this one being honest.

Organize

List what the work touches.

Which tools. Which resources. What access is needed. What documentation exists and what doesn't. Where the information lives that this process depends on.

Most automations break here, not at the AI step. The agent needs to reach the data, and if the data lives in three people's heads and one spreadsheet nobody can find, there's work to do before any of this is possible.

Systematize

Turn the blueprint into a recipe.

Why this process exists. Who it's for. The steps in order. What the finished output looks like.

This is the step people skip, and it's the one that makes everything else work. You're writing the recipe book for how this gets done, before anything gets automated.

The system is also how you supervise later. If you never defined the output, you can't tell whether the thing running unattended is doing its job or drifting.

Assign

Now, and only now, decide who runs it.

Goes to AI when the work repeats and produces an output that helps a human do something.

Stays human when it needs context, oversight, or a decision where being wrong is costly.

Most processes split. Part goes to the agent, part stays with a person, and knowing the line before you build is what stops you from automating something into weirdness.

Once you've assigned it, the build is genuinely easy. Take the system you wrote and hand it over:

Here is a process I want to automate.

[PASTE YOUR SYSTEMATIZE DOCUMENT: purpose, who it's for, the steps in
order, the tools involved, and what the finished output looks like]

Which parts of this should run automatically and which should stay with
a person? Then walk me through building the automated parts in
[n8n / Make / your platform].

Tell me which tools I'll need, what each will cost, and where a human
needs to review before anything goes out.

Ask me for anything you need rather than assuming.

That's it. The AI builds the automation. You did the thinking.

Integrate

Put it into the actual day and see whether it works.

Then iterate, which mostly means being willing to admit when it didn't. If the automation is worse than the manual version, go back to the manual version. That's not failure, that's the loop working.

You can only do that because you documented the old process in step one. There's always somewhere to return to.

Why the order matters

Four of the five steps happen before AI is involved.

That's the whole argument. People overcomplicate automation because they start at the tool. The tool is the last thing.

Systems before AI. Every time.

Halfway through. Tomorrow: another one from the stack.