01
The meeting ends with a yes.
A shift pattern, a cheaper supplier, a new check. Someone has to live with it on Monday.
For industrial SMEs
Test a decision before you bet the factory on it.
i9bar is a workbench for a shift change, a supplier switch, or a new check. You bring the proposal and the notes you have. It labels every claim, refuses to pass a guess off as truth, and rewrites the brief when a real fact shows up.
Run a decision
Mock mode. No key. No account.
The call that goes wrong
Operational decisions get made on gut feel.
02
The people who would work it were not asked.
The operator, the buyer, the night crew, maintenance. The decision is already walking out the door.
03
A chatbot will still sound sure.
One smooth paragraph. No ledger. No contradiction. Nothing that stays put when you add a fact.
How it works
Three moves. Then you decide.
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01
State the call
The decision, in plain language, plus the notes already on the table.
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02
Separate evidence from guesses
Every claim is labelled. Role reactions are marked hypothesis before anyone treats them as truth.
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03
Add a fact
The brief re-scores in front of you. If the fact is thin, the next step stays put.
Synthetic demo scenarios
Run one now
Northline Fabrication is a fictional company. Northline Packaging is a fictional company. Every prepared note in this demo is synthetic. Simulated stakeholder reactions are hypotheses, not evidence of what a real person will do.
Loading the synthetic scenarios…
The difference
Why not just ask ChatGPT
Evidence labels
Fact, reported, hypothesis, unsupported. A guess is never dressed up as a finding.
The brief changes when a new fact arrives
You get a diff: what moved, what refused to move, and which contradiction is still open.
Guesses are not passed off as truth
Personas are hypotheses. Opposing notes stay apart. The tool does not smooth them into one story.