HumanRail: Escalations Driven by AI Confidence, Not Just Risk
A low-risk action can still be genuinely ambiguous. Confidence and risk are not the same axis.
NAPT's Pipeline Studio approval gates ask whether an action is risky enough to need a human. HumanRail asks a different question entirely: is the AI not confident enough to proceed? These are distinct because a low-risk action can still be genuinely ambiguous, and a high-risk action can be completely clear-cut.
Two axes, not one
Treating confidence and risk as the same thing leads to either over-escalation (every risky change pauses, even obvious ones) or silent mistakes (the AI proceeds confidently on something it misread). HumanRail separates the confidence axis so ambiguity gets a human even when risk is low.
What lands in the queue
- Reconciliation findings the engine cannot confidently classify.
- RCA conclusions with competing hypotheses.
- Intent Engine translations where the desired state is ambiguous.
From queue to action
The /escalations page lists your workspace escalations with filters for status and module. From a selected escalation you can trigger Reconciliation, RCA, or the Intent Engine — each behind a confirmation step that sets the escalation to in_progress and navigates only after the update succeeds.
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