Appeal Architect uses deterministic classification logic to map suspension messages to known failure types, confidence bands, risk levels, and recommended action paths.
Diagnosis, evidence requirements, drafting, and safety controls are separated so that each stage has one clear responsibility.
When a suspension notification is entered into the scanner, the system first identifies the source platform using message structure, language patterns, formatting, and sender indicators. The message is then evaluated against the platform's known failure taxonomy. The output includes a structured classification, confidence level, risk band, and recommended next step.
The classification process is designed to return consistent results for the same input. The system does not rely on open-ended AI opinion to determine the suspension type.
Confidence bands communicate how strongly the message matches a known case type. Risk scoring helps determine whether the case should proceed, pause, or require more information.
Paste your suspension notification into the scanner to understand the likely issue type, confidence level, and recommended next step.
Diagnose Suspension