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/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: