Why most people use AI wrong

Most businesses that "adopt AI" buy a tool, bolt it onto a process built for humans, and wonder why nothing changed.

They're asking the wrong question. They ask "can AI do this job?" when the real question is "which steps of this job can AI own?"

There's one framework behind every workflow I redesign. Fighter pilots use it, robots use it, and every major AI lab has independently landed on it. Once you see it, you can point it at any task in your business and know exactly where AI fits.

Every workflow is secretly a loop

Six steps:

Sense → Interpret → Propose → Decide → Act → Iterate → (back to Sense)

• Sense — gather the inputs. An email arrives, a lead fills a form, an invoice lands.
• Interpret — classify it. Urgent, routine, junk?
• Propose — draft the candidate action. A reply, a recommendation, a route.
• Decide — approve, edit, or reject. The judgment step.
• Act — execute. Send, file, book, pay.
• Iterate — learn from the corrections so next time is sharper.

In the pre-AI world you optimized whole tasks — train a person, buy software, all or nothing. Now the unit of design has shrunk. You can drop a machine onto any one of these steps, independently. Work stops being a job description and becomes a loop where humans and AI each own the parts they're best at.

That's the shift from the pre-AI world to the post-AI one: we move from "all or nothing" — whole job descriptions handed to a person or a tool — to breaking work into steps and sub-steps, each a place where you and AI work side by side. (It's also a stepping stone: as trust builds, more of those steps hand off to AI entirely — but that's for another day.)

The second axis: who runs each step

The loop tells you what the steps are. The other half is who runs each one — and that changes over time. Three modes, like self-driving car levels:

• Human-in-the-loop — AI proposes, you approve every time. Where new, high-stakes steps start.
• Human-on-the-loop — AI acts, you monitor and can intervene. For proven steps where speed matters.
• Human-out-of-the-loop — AI runs solo, you review in aggregate. Low-stakes, high-volume.

The rule that matters: autonomy is earned per-step, not switched on globally. Start everything human-in-the-loop. Watch one number — your edit rate. When how often you change the AI's output falls toward zero, that step has earned its autonomy. That's data, not a feeling. And you always keep a kill switch.

For example: the first step you hand over might just be "open my inbox each morning and summarize the newsletters sitting in it." Read-only, low-stakes — if it gets one wrong, nothing breaks. Watch it for a couple of weeks. Once the summaries are accurate and you trust them, hand it the next step: archive those newsletters automatically. Now it's taking an action, not just reading — but only because the read step earned it.

Run it on your own business

Pick one workflow that eats your week:

1. Name it and its trigger.
2. Walk the six stages — what happens at each, and who does it.
3. Find the insertion points — Sense and Interpret are usually the first wins; high-judgment Decide steps stay human longest.
4. Set the autonomy mode per step — default to human-in-the-loop.
5. Define the feedback mechanism — skip this and you've bought automation, not intelligence.
6. Phase it — ship the lowest-risk, highest-savings step first. Prove it. Then expand.

The deliverable is one page: six stages, current owner, target owner, autonomy mode, feedback loop. That map is the redesign.

The question stops being "will AI take this job?" and becomes "which steps can AI own — and how do I move up to supervising the loop instead of grinding through every step?" Because of that Iterate step, the loop compounds. The businesses that win the next decade aren't the ones with the most AI tools. They're the ones whose loops get better every week.

Pick one workflow. Map the loop. Move the line.

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