2 Commits

Author	SHA1	Message	Date
Benjamin Admin	38684dd903	feat(control-pipeline): add Assessment Layer to Applicability Engine ... Adds confidence scoring, escalation detection, and reasoning to the deterministic filter. All assessment is deterministic (no LLM). Confidence scoring (0.0-1.0): - +0.25 industry specified - +0.15 company size specified - +0.20-0.30 scope signals provided - +0.15 controls found - +0.15 no contradictions - Capped at 0.75 for escalation cases Escalation triggers: - Contradictory signals (holds_client_funds without operates_payment_service) - Ambiguous signals (provides_embedded_connectivity) - Financial signals without explicit payment service declaration - Incomplete profile (no industry, size, or signals) Reasoning: template-based, includes active signals, control count, scope-condition descriptions, and warnings. Response now includes "assessment" field with confidence, escalation_flag, escalation_reason, inferred_signals, reasoning, and warnings. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-23 20:36:11 +02:00
Benjamin Admin	441d5740bd	feat: Applicability Engine + API-Filter + DB-Sync + Cleanup ... - Applicability Engine (deterministisch, kein LLM): filtert Controls nach Branche, Unternehmensgroesse, Scope-Signalen - API-Filter auf GET /controls, /controls-count, /controls-meta - POST /controls/applicable Endpoint fuer Company-Profile-Matching - 35 Unit-Tests fuer Engine - Port-8098-Konflikt mit Nginx gefixt (nur expose, kein Host-Port) - CLAUDE.md: control-pipeline Dokumentation ergaenzt - 6 internationale Gesetze geloescht (ES/FR/HU/NL/SE/CZ — nur DACH) - DB-Backup-Import-Script (import_backup.py) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-09 21:58:17 +02:00