feat(compliance-check): skip Widerruf for B2B, limit MCs, fix industry

- Skip Widerrufsbelehrung check entirely for B2B/B2G businesses
- Limit MC checks to top 20 per doc_type (by severity) to reduce noise
  (e.g. 75 impressum MCs → 20, avoiding 55 irrelevant FAILs)
- Add consulting/manufacturing industry keywords (arbeitssicherheit,
  brandschutz, werkzeugbau, etc.)
- Lower industry detection threshold from 2 to 1 keyword hit

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend-compliance/compliance/api/agent_compliance_check_routes.py

@@ -194,12 +194,22 @@ async def _run_compliance_check(check_id: str, req: ComplianceCheckRequest):
             "COMPLIANCE_USE_AGENT", "false"
         ).lower() == "true"
 
+        # Filter out doc_types that don't apply to this business profile
+        skip_types = _get_skip_types(profile)
+
         for i, entry in enumerate(doc_entries):
             text = entry["text"]
             doc_type = entry["doc_type"]
             label = _doc_type_label(doc_type)
             url = entry["url"]
 
+            if doc_type in skip_types:
+                results.append(DocCheckResult(
+                    label=label, url=url, doc_type=doc_type,
+                    error=skip_types[doc_type],
+                ))
+                continue
+
             _update(check_id, f"Pruefe {label} ({i+1}/{len(doc_entries)})...")
 
             if not text or len(text) < 50:
@@ -351,10 +361,10 @@ async def _check_single(
             completeness = f.get("completeness_pct", 0)
             correctness = f.get("correctness_pct", 0)
 
-    # Master Control checks
+    # Master Control checks (top 20 by severity to avoid noise)
     try:
         mc_results = await check_document_with_controls(
-            text, doc_type, label, max_controls=0, use_agent=use_agent,
+            text, doc_type, label, max_controls=20, use_agent=use_agent,
         )
         if mc_results:
             for mc in mc_results:
@@ -395,6 +405,19 @@ async def _check_single(
     )
 
 
+def _get_skip_types(profile) -> dict[str, str]:
+    """Return doc_types to skip entirely based on business profile.
+
+    Returns dict mapping doc_type -> skip reason.
+    """
+    skip: dict[str, str] = {}
+    if profile.business_type in ("b2b", "b2g"):
+        skip["widerruf"] = "Uebersprungen: Widerrufsbelehrung nur fuer B2C relevant"
+    if profile.business_type in ("b2b", "b2g") and not profile.has_online_shop:
+        skip["nutzungsbedingungen"] = "Uebersprungen: Nutzungsbedingungen bei B2B ohne Shop selten relevant"
+    return skip
+
+
 def _apply_profile_filter(result, profile, doc_type: str):
     """Adjust INFO-level checks based on business profile context.
 

backend-compliance/compliance/services/business_profiler.py

@@ -104,8 +104,10 @@ _INDUSTRY_KEYWORDS = {
     "public": ["kommune", "stadtverwaltung", "buergerservice", "bürgerservice", "rathaus"],
     "finance": ["bank", "versicherung", "finanz", "kredit", "anlage"],
     "education": ["schule", "bildung", "unterricht", "lehrplan", "schueler", "schüler"],
-    "consulting": ["beratung", "consulting", "schulung", "seminar", "gutachten", "audit"],
-    "manufacturing": ["fertigung", "produktion", "maschinenbau", "anlagenbau", "zulieferer"],
+    "consulting": ["beratung", "consulting", "schulung", "seminar", "gutachten", "audit",
+                    "arbeitssicherheit", "brandschutz", "sicherheitstechnik", "zertifizierung"],
+    "manufacturing": ["fertigung", "produktion", "maschinenbau", "anlagenbau", "zulieferer",
+                       "werkzeugbau", "spritzguss", "cnc", "industrietechnik"],
     "media": ["redaktion", "verlag", "medien", "journalismus", "presse"],
 }
 
@@ -224,7 +226,7 @@ async def detect_business_profile(documents: dict[str, str]) -> BusinessProfile:
     industry_scores: dict[str, int] = {}
     for industry, keywords in _INDUSTRY_KEYWORDS.items():
         hits = _count_hits(full_text, keywords)
-        if hits >= 2:
+        if hits >= 1:
             industry_scores[industry] = hits
 
     if industry_scores: