Canonical flow
Document routing
Non-generative classification pipeline for routing documents.
Abstract pattern
Non-generative classification pipeline
The substrate-agnostic proof that PAA can govern a small classifier and still rely on live gating, monitoring, and promotion evidence.
- Assisted Human-led with automation support.
- HITL Human approves each action.
- HOTL Human samples or monitors.
- Autonomous Automation acts within guardrails.
Task contract
Document routing
The substrate-agnostic proof that PAA can govern a small classifier and still rely on live gating, monitoring, and promotion evidence.
- Boundary
- Input is the document plus metadata. Output is a label and a routing destination.
- Evidence log
- Document features, predicted label, evaluator verdict, downstream correction when a human reroutes the item, and the handling outcome.
- Evaluator
-
- Target
- Input and output
- Technique
- Schema validation, out-of-distribution detection, and low-confidence escalation in flight, with downstream reroute monitoring behind the scenes.
- Oracle
- Invariants for the inline checks and human reroutes as the live signal.
- Position policy
-
- autonomous
- monitoring — in-distribution high-confidence decisions route directly; live reroute rate and drift monitors run continuously
- hitl
- blocking — out-of-distribution and low-confidence documents are held for human triage
- Promotion rule
- Held-out precision and recall meet the bar and live reroute rate stays low, so the pipeline can route directly.
- Demotion
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- Rule
- Reroute rate climbs above threshold or a drift monitor fires, expanding the escalation scope and returning uncertain documents to human handling.
- Fallback
- Out-of-distribution and low-confidence documents route to human handling as a permanent design constraint.
Teaching point
What this flow proves
The live evaluator and the promotion evidence are different things, and both are required if the automation is going to stay safe.
Teaching context
Why this flow is governed this way
- Worker context
- A routing classifier with no generative model in the loop.
- Without PAA
- Routing errors surface only as downstream complaints; there is no live signal for drift or confidence degradation; a bad batch ships in full before anyone knows.
- Never full-auto
- Out-of-distribution documents — the classifier declares uncertainty on these and routes them to human handling as a permanent design constraint, not a temporary state.
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