How I work
No decision starts unattended.
Every decision I automate begins fully manual and climbs one rung at a time, earning the next level of autonomy only by proving it deserves the last. And any rung it climbs, it can fall back down the moment it stops earning its place.
What I actually do
I run the decisions, then I build the system that runs them.
Most people do one or the other. Operators buy tools they cannot build. Engineers build tools nobody with a P&L asked for. I sit in the seat, feel the friction, and ship the fix, with a record of how every number was checked.
The seat, not the sidelines
I lead the decision, not a slide about it.
Demand, inventory, and cross-site standardization are calls I have had to make and answer for. When the number is wrong, I am the one who says so. That is what tells me which decisions are worth automating and which never should be.
Production, not prototypes
Systems people log into on a Monday.
What I build replaces instinct with a number at the moment the decision gets made. Not a proof of concept that died in a demo. Real systems, integrated from the start, with the joins designed in rather than bolted on afterward.
Trust is a build requirement
Not a review step at the end.
The grading, the sign-off, and the decision log all exist in the system before anything ships. Governance added at the end is documentation. It does not control anything. Built in from the start, it is the thing that lets a decision earn its autonomy at all.
The centerpiece
How a decision earns its autonomy.
Five levels, from a person doing everything to the machine running unattended inside a policy. Nothing skips a rung. A decision only climbs by proving zero harm across a run of real cycles, and it drops back the moment it stops earning its place. Click any level.
Level 0
Manual
This is the starting line. Every decision I automate begins here, with no exceptions.
The loop this ladder governs - see the work
The rules underneath the ladder
Four rules I do not break.
The ladder is how autonomy grows. These are the rules that decide whether it is allowed to.
Harmonize before you automate.
Automating an inconsistent definition just produces wrong answers faster and at scale. Most cross-team disputes are definition disputes wearing a data costume. Lock the definition first, or the ladder is built on sand.
Grade every published number.
Verified, reported, or modeled. A model labeled as a forecast is a lie with a chart on it. A decision cannot climb the ladder if nobody can say how sure its inputs are.
A named human approves anything consequential.
Not a department. A person, recorded, with a reason and a date. If a decision cannot be reconstructed from its trail, it does not ship, and it certainly does not climb.
Promotion is earned, demotion is automatic.
A level is earned by proving zero harm across real cycles. It is lost the instant a service or policy breach shows up. The system falls back a rung on its own, without waiting for anyone to notice.
The tools this method builds, the exception gate, the audit trail, and the rest, are live on the Governed AI page. See the tools
Where this shows up
This is not a slide. It is how the systems actually run.
The ladder above is the governance model inside every system on the work page. The planning demo runs decisions in shadow. The operating system stops at L2 for anything that costs money. The specification exists so a seat cannot climb without passing its audition first. See the loop it runs on one live decision.