The eight-layer reference architecture provides a structured approach to designing high-risk AI systems with compliance controls embedded at every stage of the data and inference pipeline. Each layer addresses specific EU AI Act requirements and produces specific evidence for the AISDP.

Layer 1 (Data Ingestion, ) enforces schema contracts and detects source drift. Layer 2 (Feature Engineering, ) ensures training-serving consistency and monitors feature distributions. Layer 3 (Model Inference, ) handles version pinning, confidence thresholding, and output constraints. Layer 4 (Post-Processing, ) documents business rules, monitors threshold stability, and re-evaluates fairness on production data.

Layer 5 (Explainability, ) generates and validates human-readable explanations. Layer 6 (Human Oversight Interface, ) enforces mandatory review workflows and counters automation bias. Layer 7 (Logging & Audit, ) provides immutable logging and regulatory export. Layer 8 (Monitoring, ) delivers intent alignment dashboards and multi-dimensional drift detection.

Note:

All eight layers are fully populated.