Governed AI Workflow: AI Automation With Human Approval
Hand the big, repeated job to AI, with a source next to every value and a person approving anything customers see.
You'd hand this job to AI tomorrow… if you could trust it. Clear the backlog your team never catches up on.
30 minutes · Google Meet
Your Game Plan Starts With 30 Minutes
- Talk it through with the person who'd lead the work
- Nothing to prepare. No pitch, no slides.
- A written game plan follows, yours to keep
Pick a weekday time that works on the next page. The invite lands in your inbox right away.
Stuck Between "Let's Use AI" and "Never Again"?
The big, repeated job where one wrong answer hurts: product data, client files, orders. Here's how it usually goes wrong, and what changes.
400 Descriptions in an Afternoon. One Was Wrong.
The team was thrilled. Then a pump the page called stainless came back. It's cast iron. Nobody knew which others were wrong, so all 400 came down.
Let AI Write Without Ever Guessing a Spec
Sure, it writes. Somewhat sure, it flags a person. Not sure, it leaves a blank. And every value shows exactly where it came from.
Your Backlog Grows Faster Than Anyone Can Type
It's 4:45 on a Thursday. Your best merchandiser has a supplier PDF on one screen and the store on the other, copying one spec at a time. 3,000 to go.
Watch the Backlog Shrink, Week After Week
AI drafts every item. Your people approve, fix or fill in from one queue, shakiest values first, so a bad one gets caught in seconds.
The Last Automation Wiped Out Your Best Work
It was meant to save time. A flow overwrote descriptions your best person spent years polishing. She heard from a customer. Nobody knew what changed.
Keep Approved Work Exactly as Your People Left It
Once something is approved, the AI can't quietly rewrite it. Every change is logged: what, when, and who said yes.
Everyone Wants AI. You'll Answer for It.
The LinkedIn post got forwarded to you again: "Why aren't you doing this?" But if a wrong pressure rating goes out, the AI won't be in the hot seat.
Say Yes to AI Without Putting Your Name on a Guess
Nothing your customers see goes out unapproved. And the job is timed before and after, so you have a real number to show.
Nothing Your Customers See Is Ever Guessed
Every value the AI writes goes through the same three rules, inside your workflow, where nobody can skip them.
The AI reads the source
It Writes It
When the answer is in the source, the AI fills it in and shows where it came from, so checking takes seconds.
It Asks a Person
Anything uncertain lands in the review queue. One of your people says yes, fixes it or sends it back.
It Leaves It Blank
An empty field takes a minute to fill. A wrong spec can bring 400 pages down. When in doubt, it stays blank.
Approved work is locked, and every change is logged: what, when, and who said yes.
What's Running When the Six Weeks Are Up
It's 8:30 tomorrow morning. Two hundred new items wait in the queue, each with its source. Most are cleared before the second coffee.
Rules Inside Your Workflow
What counts as "sure" for your job, where a person signs off, and what never goes near AI. Built into the workflow, where nobody can skip it.
Your Review Queue
Every value with its source, shakiest first, so whoever checks spots a bad one in seconds.
A Log and a Number to Show
What changed, when, and who approved it, plus the job timed before and after. Your proof it's working.
Your Team, Running It
Your people trained on real work, the rules on one page, a recorded walkthrough and a named owner. All in your accounts.
Review Queue: Product Data
Shakiest First| Value | Source | Status |
|---|---|---|
| Material: cast iron | Supplier sheet, p. 4 | Check |
| Warranty | Not in the source | Blank |
| Max pressure: 150 psi | Spec PDF, table 2 | Sure |
| Inlet size: 2 in | Supplier sheet, p. 2 | Sure |
| Weight: 38 lb | Spec PDF, table 1 | Sure |
The Evil Plan to Get Your Backlog Moving Again
Measure twice, cut once. Six weeks, four steps, and you see each one working before the next begins.
Get Your Game PlanPick: Watch the Job Before Touching It
Your best person is recorded and timed doing the job by hand. Then a straight recommendation: go, narrow the job, or stop. You decide.
Build: Inside Your Own Accounts
First rule: be sure which product or file it's on before writing a word. Minor issues get caught before they grow into massive headaches.
Pilot: Your People Poke Holes in It
A first batch from the lowest-risk corner. Every miss your people catch becomes a rule. Then the job is timed again.
Roll Out: Your Team Takes the Wheel
Your team runs it on real work, watched closely at first. Done means it runs without outside help, with the before and after in front of you.
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guessed values, with three human checkpoints
It Starts With the Person Doing the Job Today
A distributor's 22,000-product catalog runs this way today. Yours might be client files, or orders stuck in an inbox. The first step is the same: the person who does the job now, recorded doing it by hand, so the AI copies a process that already works.
The best part was that our brand was always respected and our customers were never inconvenienced.
Why Now
You're Never Going to Get a Quiet Month
You know how this goes. Every week a supplier adds a line, the backlog gets heavier, and somebody quietly pastes product data into a free chatbot to keep up. No rules. Nobody checking.
You don't have to bet six weeks at once. By the end of week one, you'll know your job, your number, and whether AI belongs in it. Only a small handful of projects run at once, so dates fill up.
The Details
What You Get, and When
The exact scope comes out of the 30-minute call, built around your tools and your team.
Delivery About 6 weeks
Get Your Game PlanWhat's Included
- Rules, checkpoints and a review queue in your accounts
- A log of every change, and the job timed before and after
- Team training, a rules page and a recorded walkthrough
Where It Leads
Next: Operating System for One Program
When a whole stream, like client onboarding, should run without you, with the KPIs written right in.
Explore This OutcomeQuestions, Answered
Anything else? Bring it to the 30 minutes.
What if the AI still gets something wrong, now or six months from now?
Sometimes it will. So it flags a person or leaves a blank when unsure, your people approve what matters, and the log turns every miss into a rule.
What happens when the AI model gets updated?
If something built doesn't work the way it was promised, it gets fixed.
The review queue is where you'd notice first: values start landing in amber instead of green, long before a customer sees anything.
The data is a mess. Can AI still help?
Often the mess is the job itself: matching records, filling gaps from real sources, flagging what doesn't agree. If it needs fixing first, you'll hear it in week one.
Does this job even need AI?
Maybe not! If a good prompt or a plain automation would do it, you'll hear that on the first call, along with the smaller fit: an AI Team Workshop or a Workflow Automation Sprint.
What Would Your Team Stop Typing First?
30 minutes about the job, NDA first if you want one. You'll hear if AI belongs in it.
Everything stays yours. Only a small handful of clients at a time.