AURORADecision Lab
The framework that decides before execution.
Decision Lab is Aurora’s operating process to evaluate critical decisions with evidence. It produces a standard output: counterfactual, non-obvious insight, and a footprint (decisionId + hash).
Output: counterfactual Output: non-obvious insight Output: verifiable footprint
How it works
Step 1
Minimum context
Capture amount, committed cash, nature, category, reversibility, and industry.
Step 2
Evaluation
Aurora models scenarios, trade-offs, and irreversibility risk for that decision.
Step 3
Auditable output
Delivers risk status + counterfactual + insight + footprint (decisionId + hash).
What it prevents
| Bias | Decisions driven by urgency, authority, or sunk cost. |
|---|---|
| Hidden risk | Future costs and dependency that don’t show up “today”. |
| No learning | Without a footprint, there’s no audit trail or system improvement. |
Use it now
Run the sealed demo. The site frames the standard; the demo proves it.