Your aircraft-readiness AI doesn't need your SIEM.
Every mission-fit tool we've ever seen has the same failure mode: it flatters the input. Ours started doing it too. This note is about the fix, and about what "credible AI" actually means when the person reading the output owns the mission you're describing.
The tool said yes to everything.
Our public Mission Lab takes a description of a recurring decision, say, "which aircraft is most likely to miss tomorrow's flying schedule", plus the systems the visitor says they have, and drafts a candidate architecture. Early versions did what most AI does: whatever systems you checked, they appeared in the proposed scope. Check "SIEM" next to an aircraft-availability mission and the brief cheerfully proposed streaming security events into your readiness picture.
Anyone who has actually owned a flying schedule reads one line of that and stops trusting the rest. A SIEM watches security events. Aircraft availability lives in maintenance records, the flying schedule, and supply, different systems, different owners, different refresh rhythms. An architecture that can't tell those apart isn't wrong in a small way; it's wrong in the way that reveals nobody in the room has sat with the mission.
Teach the tool to say "that doesn't belong."
We rebuilt the engine around a small idea: for each mission domain, every system a visitor selects is classified as core (the decision cannot be answered without it), supporting (adds context), or peripheral (belongs to a different mission). Peripheral systems don't get quietly woven into the architecture, they get named, out loud, in the brief: this system is for security operations, not aircraft availability, and including it would add integration cost without adding a governing fact.
Then we made it cost something. Peripheral systems in scope now lower the mission-fit score, and the priority label drops accordingly. The tool will tell a visitor their scope is weaker because of something they added. That moment, software disagreeing with you, with a reason, is the only demo moment anyone remembers.
Pushback is the product.
The Cleared FDE Standard makes this a competency, not a feature: §2.3 requires an engineer to "tell the mission owner which of their systems does not belong in scope, out loud, early." We think the same bar applies to the software. An AI that agrees with every input is a proposal generator; an AI that can decline an input, name the reason, and show the cost is the beginning of something a review board can work with.
Try it yourself: run the Mission Lab with a readiness mission and deliberately check the wrong system. The brief you get back, and the argument it makes, is the point. All of it runs on synthetic data; the pushback is real.
Have a workflow where the scope feels wrong?
Thirty minutes with a technical lead who will tell you what doesn't belong, before proposing what does.