diff --git a/admin-compliance/lib/sdk/__tests__/compliance-scope-engine.test.ts b/admin-compliance/lib/sdk/__tests__/compliance-scope-engine.test.ts
new file mode 100644
index 0000000..50e4970
--- /dev/null
+++ b/admin-compliance/lib/sdk/__tests__/compliance-scope-engine.test.ts
@@ -0,0 +1,372 @@
+import { describe, it, expect } from 'vitest'
+import { complianceScopeEngine } from '../compliance-scope-engine'
+
+// Helper: create an answer object (engine reads answerValue + questionId)
+function ans(questionId: string, answerValue: unknown) {
+  return { questionId, answerValue } as any
+}
+
+// Helper: create a minimal triggered-trigger (engine shape, not types shape)
+function trigger(ruleId: string, minimumLevel: string, opts: Record<string, unknown> = {}) {
+  return { ruleId, minimumLevel, mandatoryDocuments: [], requiresDSFA: false, category: 'test', ...opts } as any
+}
+
+// ============================================================================
+// calculateScores
+// ============================================================================
+
+describe('calculateScores', () => {
+  it('returns zero composite for empty answers', () => {
+    const scores = complianceScopeEngine.calculateScores([])
+    expect(scores.composite).toBe(0)
+    expect(scores.risk).toBe(0)
+    expect(scores.complexity).toBe(0)
+    expect(scores.assurance).toBe(0)
+  })
+
+  it('all-false boolean answers → zero composite', () => {
+    const scores = complianceScopeEngine.calculateScores([
+      ans('data_art9', false),
+      ans('data_minors', false),
+      ans('proc_ai_usage', false),
+    ])
+    expect(scores.composite).toBe(0)
+  })
+
+  it('boolean true answer increases risk score', () => {
+    const scoresFalse = complianceScopeEngine.calculateScores([ans('data_art9', false)])
+    const scoresTrue = complianceScopeEngine.calculateScores([ans('data_art9', true)])
+    expect(scoresTrue.risk).toBeGreaterThan(scoresFalse.risk)
+  })
+
+  it('composite is weighted sum: risk×0.4 + complexity×0.3 + assurance×0.3', () => {
+    const scores = complianceScopeEngine.calculateScores([ans('data_art9', true)])
+    const expected = Math.round((scores.risk * 0.4 + scores.complexity * 0.3 + scores.assurance * 0.3) * 10) / 10
+    expect(scores.composite).toBe(expected)
+  })
+
+  it('numeric answer uses logarithmic normalization — higher value → higher score', () => {
+    const scoresLow = complianceScopeEngine.calculateScores([ans('data_volume', 10)])
+    const scoresHigh = complianceScopeEngine.calculateScores([ans('data_volume', 999)])
+    expect(scoresHigh.composite).toBeGreaterThan(scoresLow.composite)
+  })
+
+  it('array answer score proportional to count (max 1.0 at 5+)', () => {
+    const scores1 = complianceScopeEngine.calculateScores([ans('data_art9', ['gesundheit'])])
+    const scores5 = complianceScopeEngine.calculateScores([
+      ans('data_art9', ['gesundheit', 'biometrie', 'genetik', 'politisch', 'religion']),
+    ])
+    expect(scores5.composite).toBeGreaterThan(scores1.composite)
+  })
+
+  it('empty array answer → zero contribution', () => {
+    const scoresEmpty = complianceScopeEngine.calculateScores([ans('data_art9', [])])
+    const scoresNone = complianceScopeEngine.calculateScores([])
+    expect(scoresEmpty.composite).toBe(scoresNone.composite)
+  })
+})
+
+// ============================================================================
+// determineLevel
+// ============================================================================
+
+describe('determineLevel', () => {
+  it('composite ≤25 → L1', () => {
+    const level = complianceScopeEngine.determineLevel({ composite: 20 } as any, [])
+    expect(level).toBe('L1')
+  })
+
+  it('composite exactly 25 → L1', () => {
+    const level = complianceScopeEngine.determineLevel({ composite: 25 } as any, [])
+    expect(level).toBe('L1')
+  })
+
+  it('composite 26–50 → L2', () => {
+    const level = complianceScopeEngine.determineLevel({ composite: 40 } as any, [])
+    expect(level).toBe('L2')
+  })
+
+  it('composite exactly 50 → L2', () => {
+    const level = complianceScopeEngine.determineLevel({ composite: 50 } as any, [])
+    expect(level).toBe('L2')
+  })
+
+  it('composite 51–75 → L3', () => {
+    const level = complianceScopeEngine.determineLevel({ composite: 60 } as any, [])
+    expect(level).toBe('L3')
+  })
+
+  it('composite >75 → L4', () => {
+    const level = complianceScopeEngine.determineLevel({ composite: 80 } as any, [])
+    expect(level).toBe('L4')
+  })
+
+  it('hard trigger with minimumLevel L3 overrides score-based L1', () => {
+    const t = trigger('HT-A01', 'L3')
+    const level = complianceScopeEngine.determineLevel({ composite: 10 } as any, [t])
+    expect(level).toBe('L3')
+  })
+
+  it('hard trigger with minimumLevel L4 overrides score-based L2', () => {
+    const t = trigger('HT-F01', 'L4')
+    const level = complianceScopeEngine.determineLevel({ composite: 40 } as any, [t])
+    expect(level).toBe('L4')
+  })
+
+  it('level = max(score-level, trigger-level) — score wins when higher', () => {
+    const t = trigger('HT-B01', 'L2')
+    // score gives L3, trigger gives L2 → max = L3
+    const level = complianceScopeEngine.determineLevel({ composite: 60 } as any, [t])
+    expect(level).toBe('L3')
+  })
+
+  it('no triggers with zero composite → L1', () => {
+    const level = complianceScopeEngine.determineLevel({ composite: 0 } as any, [])
+    expect(level).toBe('L1')
+  })
+})
+
+// ============================================================================
+// evaluateHardTriggers
+// ============================================================================
+
+describe('evaluateHardTriggers', () => {
+  it('empty answers → no triggers', () => {
+    const triggers = complianceScopeEngine.evaluateHardTriggers([])
+    expect(triggers).toHaveLength(0)
+  })
+
+  it('art9 health data answer triggers category art9 with minimumLevel L3', () => {
+    const triggers = complianceScopeEngine.evaluateHardTriggers([
+      ans('data_art9', ['gesundheit']),
+    ])
+    const art9 = triggers.find((t: any) => t.category === 'art9')
+    expect(art9).toBeDefined()
+    expect((art9 as any).minimumLevel).toBe('L3')
+  })
+
+  it('minors answer sets requiresDSFA = true', () => {
+    const triggers = complianceScopeEngine.evaluateHardTriggers([
+      ans('data_minors', true),
+    ])
+    const minorsTrigger = triggers.find((t: any) => t.category === 'vulnerable')
+    expect(minorsTrigger).toBeDefined()
+    expect((minorsTrigger as any).requiresDSFA).toBe(true)
+  })
+
+  it('AI scoring usage answer triggers minimumLevel L2 (adm category)', () => {
+    const triggers = complianceScopeEngine.evaluateHardTriggers([
+      ans('proc_ai_usage', ['scoring']),
+    ])
+    const aiTrigger = triggers.find((t: any) => t.category === 'adm')
+    expect(aiTrigger).toBeDefined()
+    expect(['L2', 'L3', 'L4']).toContain((aiTrigger as any).minimumLevel)
+  })
+
+  it('multiple triggers all returned when multiple questions answered', () => {
+    const triggers = complianceScopeEngine.evaluateHardTriggers([
+      ans('data_art9', ['gesundheit']),
+      ans('data_minors', true),
+    ])
+    expect(triggers.length).toBeGreaterThanOrEqual(2)
+  })
+
+  it('false answer for boolean trigger does not fire it', () => {
+    const triggersBefore = complianceScopeEngine.evaluateHardTriggers([])
+    const triggersWithFalse = complianceScopeEngine.evaluateHardTriggers([
+      ans('data_minors', false),
+    ])
+    expect(triggersWithFalse.length).toBe(triggersBefore.length)
+  })
+})
+
+// ============================================================================
+// evaluate — integration
+// ============================================================================
+
+describe('evaluate — integration', () => {
+  it('empty answers → L1 ScopeDecision with all required fields', () => {
+    const decision = complianceScopeEngine.evaluate([])
+    expect(decision.scores).toBeDefined()
+    expect(decision.triggeredHardTriggers).toBeDefined()
+    expect(decision.requiredDocuments).toBeDefined()
+    expect(decision.riskFlags).toBeDefined()
+    expect(decision.gaps).toBeDefined()
+    expect(decision.nextActions).toBeDefined()
+    expect(decision.reasoning).toBeDefined()
+    expect(decision.determinedLevel).toBe('L1')
+    expect(decision.evaluatedAt).toBeDefined()
+  })
+
+  it('art9 + minors answers → determinedLevel L3 or L4', () => {
+    const decision = complianceScopeEngine.evaluate([
+      ans('data_art9', ['gesundheit', 'biometrie']),
+      ans('data_minors', true),
+    ])
+    expect(['L3', 'L4']).toContain(decision.determinedLevel)
+  })
+
+  it('triggeredHardTriggers populated on evaluate with art9 answer', () => {
+    const decision = complianceScopeEngine.evaluate([
+      ans('data_art9', ['gesundheit']),
+    ])
+    expect(decision.triggeredHardTriggers.length).toBeGreaterThan(0)
+  })
+
+  it('composite score non-negative', () => {
+    const decision = complianceScopeEngine.evaluate([ans('org_employee_count', '50-249')])
+    expect((decision.scores as any).composite).toBeGreaterThanOrEqual(0)
+  })
+
+  it('evaluate returns array types for collections', () => {
+    const decision = complianceScopeEngine.evaluate([])
+    expect(Array.isArray(decision.triggeredHardTriggers)).toBe(true)
+    expect(Array.isArray(decision.requiredDocuments)).toBe(true)
+    expect(Array.isArray(decision.riskFlags)).toBe(true)
+    expect(Array.isArray(decision.gaps)).toBe(true)
+    expect(Array.isArray(decision.nextActions)).toBe(true)
+  })
+})
+
+// ============================================================================
+// buildDocumentScope
+// ============================================================================
+
+describe('buildDocumentScope', () => {
+  it('returns an array', () => {
+    const docs = complianceScopeEngine.buildDocumentScope('L1', [], [])
+    expect(Array.isArray(docs)).toBe(true)
+  })
+
+  it('each returned document has documentType, label, estimatedEffort', () => {
+    // Use a trigger with uppercase docType to test engine behaviour
+    const t = trigger('HT-A01', 'L3', {
+      category: 'art9',
+      mandatoryDocuments: ['VVT'],
+    })
+    const docs = complianceScopeEngine.buildDocumentScope('L3', [t], [])
+    docs.forEach((doc: any) => {
+      expect(doc.documentType).toBeDefined()
+      expect(doc.label).toBeDefined()
+      expect(typeof doc.estimatedEffort).toBe('number')
+      expect(doc.estimatedEffort).toBeGreaterThan(0)
+    })
+  })
+
+  it('mandatory documents have high priority', () => {
+    const t = trigger('HT-A01', 'L3', {
+      category: 'art9',
+      mandatoryDocuments: ['VVT'],
+    })
+    const docs = complianceScopeEngine.buildDocumentScope('L3', [t], [])
+    const mandatoryDocs = docs.filter((d: any) => d.requirement === 'mandatory')
+    mandatoryDocs.forEach((doc: any) => {
+      expect(doc.priority).toBe('high')
+    })
+  })
+
+  it('documents sorted: mandatory first', () => {
+    const decision = complianceScopeEngine.evaluate([
+      ans('data_art9', ['gesundheit']),
+    ])
+    const docs = decision.requiredDocuments
+    if (docs.length > 1) {
+      // mandatory docs should appear before recommended ones
+      let seenNonMandatory = false
+      for (const doc of docs) {
+        if ((doc as any).requirement !== 'mandatory') seenNonMandatory = true
+        if (seenNonMandatory) {
+          expect((doc as any).requirement).not.toBe('mandatory')
+        }
+      }
+    }
+  })
+
+  it('sdkStepUrl present for known document types when available', () => {
+    const decision = complianceScopeEngine.evaluate([
+      ans('data_art9', ['gesundheit']),
+    ])
+    // sdkStepUrl is optional — just verify it's a string when present
+    decision.requiredDocuments.forEach((doc: any) => {
+      if (doc.sdkStepUrl !== undefined) {
+        expect(typeof doc.sdkStepUrl).toBe('string')
+      }
+    })
+  })
+})
+
+// ============================================================================
+// evaluateRiskFlags
+// ============================================================================
+
+describe('evaluateRiskFlags', () => {
+  it('no answers → empty flags array', () => {
+    const flags = complianceScopeEngine.evaluateRiskFlags([], 'L1')
+    expect(Array.isArray(flags)).toBe(true)
+  })
+
+  it('no encryption transit at L2+ → high risk flag (technical)', () => {
+    const flags = complianceScopeEngine.evaluateRiskFlags(
+      [ans('tech_encryption_transit', false)],
+      'L2',
+    )
+    const encFlag = flags.find((f: any) => f.category === 'technical')
+    expect(encFlag).toBeDefined()
+    expect((encFlag as any).severity).toBe('high')
+  })
+
+  it('no encryption rest at L2+ → high risk flag (technical)', () => {
+    const flags = complianceScopeEngine.evaluateRiskFlags(
+      [ans('tech_encryption_rest', false)],
+      'L2',
+    )
+    const encFlag = flags.find((f: any) => f.category === 'technical')
+    expect(encFlag).toBeDefined()
+    expect((encFlag as any).severity).toBe('high')
+  })
+
+  it('encryption flags not raised at L1', () => {
+    const flags = complianceScopeEngine.evaluateRiskFlags(
+      [ans('tech_encryption_transit', false)],
+      'L1',
+    )
+    const encFlag = flags.find((f: any) => f.message?.includes('Verschlüsselung'))
+    expect(encFlag).toBeUndefined()
+  })
+
+  it('third country transfer without guarantees → legal flag', () => {
+    const flags = complianceScopeEngine.evaluateRiskFlags(
+      [
+        ans('tech_third_country', true),
+        ans('tech_hosting_location', 'drittland'),
+      ],
+      'L1',
+    )
+    const legalFlag = flags.find((f: any) => f.category === 'legal')
+    expect(legalFlag).toBeDefined()
+  })
+
+  it('≥250 employees without DPO → organizational flag', () => {
+    const flags = complianceScopeEngine.evaluateRiskFlags(
+      [
+        ans('org_has_dpo', false),
+        ans('org_employee_count', '250-999'),
+      ],
+      'L2',
+    )
+    const orgFlag = flags.find((f: any) => f.category === 'organizational')
+    expect(orgFlag).toBeDefined()
+  })
+
+  it('DPO present with 250+ employees → no DPO flag', () => {
+    const flags = complianceScopeEngine.evaluateRiskFlags(
+      [
+        ans('org_has_dpo', true),
+        ans('org_employee_count', '250-999'),
+      ],
+      'L2',
+    )
+    const orgFlag = flags.find((f: any) => f.category === 'organizational')
+    expect(orgFlag).toBeUndefined()
+  })
+})
diff --git a/backend-compliance/compliance/api/company_profile_routes.py b/backend-compliance/compliance/api/company_profile_routes.py
index 060e4ba..620a1f5 100644
--- a/backend-compliance/compliance/api/company_profile_routes.py
+++ b/backend-compliance/compliance/api/company_profile_routes.py
@@ -139,7 +139,7 @@ def row_to_response(row) -> CompanyProfileResponse:
     )
 
 
-def log_audit(db, tenant_id: str, action: str, changed_fields: dict | None, changed_by: str | None):
+def log_audit(db, tenant_id: str, action: str, changed_fields: Optional[dict], changed_by: Optional[str]):
     """Write an audit log entry."""
     try:
         db.execute(
diff --git a/docs-src/services/sdk-modules/vorbereitung-module.md b/docs-src/services/sdk-modules/vorbereitung-module.md
new file mode 100644
index 0000000..3f4dd1d
--- /dev/null
+++ b/docs-src/services/sdk-modules/vorbereitung-module.md
@@ -0,0 +1,268 @@
+# Vorbereitung-Module (Paket 1)
+
+Die drei Vorbereitung-Module bilden die Grundlage des SDK-Workflows. Sie erfassen das Unternehmensprofil, bestimmen den passenden Compliance-Umfang und bewerten konkrete KI/Daten-Anwendungsfälle.
+
+| Modul | Code | Route | Backend |
+|-------|------|-------|---------|
+| **Company Profile** | CP-PROF | `/sdk/company-profile` | FastAPI `backend-compliance` |
+| **Compliance Scope** | CP-SCOPE | `/sdk/compliance-scope` | FastAPI `backend-compliance` |
+| **Use-Case Assessment** | CP-UC | `/sdk/use-cases` | Go `ai-compliance-sdk` |
+
+---
+
+## Profil — company-profile (CP-PROF)
+
+### Übersicht
+
+6-Schritt-Wizard zur Erfassung des vollständigen Unternehmensprofils. Speichert hybrid in `localStorage` (Draft) und der DB (Endstand).
+
+### API-Endpunkte
+
+| Methode | Pfad | Beschreibung |
+|---------|------|--------------|
+| `GET` | `/v1/company-profile` | Profil für Tenant laden |
+| `POST` | `/v1/company-profile` | Profil erstellen oder aktualisieren (Upsert) |
+| `PATCH` | `/v1/company-profile` | Einzelne Felder aktualisieren |
+| `DELETE` | `/v1/company-profile` | Profil löschen (Art. 17 DSGVO) |
+| `GET` | `/v1/company-profile/audit` | Audit-Log der Profiländerungen |
+
+### Datenbankstruktur
+
+**Tabelle:** `compliance_company_profiles` (Migration 005)
+
+28 Felder, u.a.:
+
+```sql
+id              UUID PRIMARY KEY
+tenant_id       TEXT UNIQUE NOT NULL
+company_name    TEXT
+legal_form      TEXT  -- GmbH, AG, GbR, ...
+industry        TEXT  -- tech, finance, healthcare, public, retail, education
+company_size    TEXT  -- micro, small, medium, large
+employee_count  TEXT  -- 1-9, 10-49, 50-249, 250-999, 1000+
+uses_ai         BOOLEAN
+ai_use_cases    JSONB
+dpo_name        TEXT
+machine_builder JSONB  -- IACE-Profil für Maschinenbauer
+is_complete     BOOLEAN
+completed_at    TIMESTAMPTZ
+```
+
+**Audit-Tabelle:** `compliance_company_profile_audit`
+
+```sql
+id              UUID PRIMARY KEY
+tenant_id       TEXT
+action          TEXT  -- create | update | delete
+changed_fields  JSONB
+changed_by      TEXT
+created_at      TIMESTAMPTZ
+```
+
+### Request-Modell (CompanyProfileRequest)
+
+```json
+{
+  "company_name": "Beispiel GmbH",
+  "legal_form": "GmbH",
+  "industry": "tech",
+  "founded_year": 2018,
+  "business_model": "B2B",
+  "company_size": "small",
+  "employee_count": "10-49",
+  "annual_revenue": "2-10 Mio",
+  "headquarters_country": "DE",
+  "uses_ai": true,
+  "ai_use_cases": ["Chatbot", "Dokumentenklassifikation"],
+  "is_complete": true
+}
+```
+
+### Tests
+
+**Datei:** `backend-compliance/tests/test_company_profile_routes.py`
+
+9 Tests — alle grün:
+
+- `test_get_profile_not_found` — 404 wenn kein Profil
+- `test_create_profile` — POST legt Profil an
+- `test_upsert_profile_update` — POST auf bestehendem Profil → UPDATE
+- `test_delete_profile` — DELETE entfernt Profil
+- `test_delete_profile_not_found` — 404 bei fehlendem Profil
+- `test_get_audit_log_empty` — leeres Audit-Log
+- `test_audit_log_after_create` — Audit-Eintrag nach CREATE
+- `test_audit_log_after_delete` — Audit-Eintrag nach DELETE
+- `test_complete_profile_workflow` — End-to-End Workflow
+
+---
+
+## Scope — compliance-scope (CP-SCOPE)
+
+### Übersicht
+
+4-Tab-Oberfläche zur Bestimmung des optimalen Compliance-Levels (L1–L4):
+
+| Tab | Inhalt |
+|-----|--------|
+| **Overview** | Aktueller Level, Score-Visualisierung, Dokumenten-Anforderungen |
+| **Wizard** | 35 Fragen in 6 Blöcken (ca. 10–15 min) |
+| **Entscheidung** | Begründung, Hard Triggers, Gap-Analyse |
+| **Export** | JSON/PDF-Export der Scope-Entscheidung |
+
+### ComplianceScopeEngine
+
+Die Engine (`lib/sdk/compliance-scope-engine.ts`) implementiert eine 8-Schritt-Pipeline:
+
+```
+1. calculateScores(answers)        → ComplianceScores
+2. evaluateHardTriggers(answers)   → TriggeredHardTrigger[]
+3. determineLevel(scores, triggers) → ComplianceDepthLevel
+4. buildDocumentScope(level, ...)  → RequiredDocument[]
+5. evaluateRiskFlags(answers, level) → RiskFlag[]
+6. calculateGaps(answers, level)   → ScopeGap[]
+7. buildNextActions(docs, gaps)    → NextAction[]
+8. buildReasoning(...)             → ScopeReasoning[]
+```
+
+### Level-Modell
+
+| Level | Composite-Score | Bezeichnung |
+|-------|----------------|-------------|
+| **L1** | ≤ 25 | Lean Startup — Minimalansatz |
+| **L2** | 26–50 | KMU Standard |
+| **L3** | 51–75 | Erweitert |
+| **L4** | > 75 | Zertifizierungsbereit |
+
+Finale Stufe = `max(score-basiertes Level, höchstes Hard-Trigger-Level)`
+
+### Score-Gewichte
+
+```
+Composite = Risk × 0.4 + Complexity × 0.3 + Assurance × 0.3
+```
+
+Scores werden aus 35 gewichteten Fragen berechnet. Jede Frage hat individuelle Gewichte für `risk`, `complexity`, `assurance` (definiert in `QUESTION_SCORE_WEIGHTS`).
+
+### Hard Trigger Kategorien (50 Regeln)
+
+| Kategorie | Regeln | Beispiel-Trigger |
+|-----------|--------|-----------------|
+| `art9` | 9 | Gesundheits-, Biometrie-, Genetikdaten → mind. L3 |
+| `vulnerable` | 3 | Minderjährige → L3/L4 + DSFA |
+| `adm` | 6 | Autonome KI, Profiling, Scoring → L2/L3 |
+| `surveillance` | 5 | Videoüberwachung, Mitarbeitermonitoring → L2/L3 |
+| `third_country` | 5 | Drittland-Transfer → L2/L3 |
+| `certification` | 5 | ISO 27001, SOC2, TISAX → L4 |
+| `scale` | 5 | >1Mio Datensätze, >250 Mitarbeiter → L3 |
+| `product` | 7 | Webshop, Datenmakler, B2C → L2/L3 |
+| `process_maturity` | 5 | Fehlende Prozesse (DSAR, Löschung, Incident) |
+| `iace_*` | 5+ | Maschinenbauer: AI Act, CRA, NIS2 |
+
+### API-Endpunkte
+
+| Methode | Pfad | Beschreibung |
+|---------|------|--------------|
+| `GET` | `/v1/compliance-scope` | Scope-Zustand laden (`sdk_states` JSONB) |
+| `POST` | `/v1/compliance-scope` | Scope-Zustand speichern (JSONB UPSERT) |
+
+Scope-Daten werden in `sdk_states.state->'compliance_scope'` als JSONB gespeichert.
+
+### Tests
+
+**Datei:** `backend-compliance/tests/test_compliance_scope_routes.py` — 27 Tests
+
+**Datei:** `admin-compliance/lib/sdk/__tests__/compliance-scope-engine.test.ts` — 40 Vitest-Tests
+
+Engine-Tests decken ab:
+
+- `calculateScores`: Leer-Array, boolean/numeric/array Antworten, Composite-Gewichtung
+- `determineLevel`: L1–L4 Schwellenwerte, Hard-Trigger-Override, Level-Maximum
+- `evaluateHardTriggers`: Art. 9, Minderjährige, KI-Scoring, mehrere Trigger
+- `evaluate` (Integration): Vollständige ScopeDecision, Felder vorhanden, Level-Bestimmung
+- `buildDocumentScope`: Array-Rückgabe, Dokumentstruktur, Sortierung
+- `evaluateRiskFlags`: Verschlüsselung, Drittland, DPO-Pflicht
+
+---
+
+## Anwendung — use-case-assessment / UCCA (CP-UC)
+
+### Übersicht
+
+Bewertet konkrete Datenanwendungen hinsichtlich DSGVO- und AI-Act-Konformität. Gibt eine **Machbarkeitsentscheidung** (Feasibility) und detaillierte Befunde zurück.
+
+| Ansicht | Inhalt |
+|---------|--------|
+| **Liste** | Alle Assessments mit Filter, Pagination, RiskScoreGauge |
+| **Detail** | Vollständiger Befund-Report mit Kategorien, Controls |
+| **Neu** | Wizard-Formular zur Assessment-Erstellung |
+
+### Feasibility-Werte
+
+| Wert | Bedeutung |
+|------|-----------|
+| `YES` | Umsetzung ohne Einschränkungen empfohlen |
+| `CONDITIONAL` | Umsetzung nur mit spezifischen Maßnahmen |
+| `NO` | Umsetzung nicht empfohlen (unakzeptables Risiko) |
+
+### Risiko-Level
+
+| Level | Score-Bereich |
+|-------|--------------|
+| `MINIMAL` | 0–20 |
+| `LOW` | 21–40 |
+| `MEDIUM` | 41–60 |
+| `HIGH` | 61–80 |
+| `UNACCEPTABLE` | 81–100 |
+
+### Backend: ai-compliance-sdk (Go)
+
+**Service:** `bp-compliance-ai-sdk` (Port 8090 intern, 8093 extern)
+
+Relevante Module in `internal/ucca/`:
+
+| Datei | Funktion |
+|-------|---------|
+| `policy_engine.go` | Zentrale Regelauswertung |
+| `dsgvo_module.go` | DSGVO-spezifische Prüfungen (Art. 5–9, 22, 35) |
+| `ai_act_module.go` | AI-Act Risikokategorisierung |
+| `nis2_module.go` | NIS2-Anforderungen |
+| `escalation.go` | Eskalationslogik bei Hochrisiko |
+| `handlers.go` | HTTP Handler (Gin) |
+
+**Datenbanktabellen:**
+
+```sql
+ucca_assessments  -- Assessments (tenant_id, title, description, status, feasibility, risk_level)
+ucca_findings     -- Einzelbefunde pro Assessment
+ucca_controls     -- Empfohlene Maßnahmen
+```
+
+### Proxy
+
+```
+Frontend  /api/sdk/v1/ucca/**
+    → ai-compliance-sdk:8090/ucca/**
+```
+
+Proxy-Datei: `admin-compliance/app/api/sdk/v1/ucca/[[...path]]/route.ts`
+
+### Tests
+
+8 Go-Test-Dateien in `ai-compliance-sdk/internal/ucca/`:
+
+```
+handlers_test.go
+policy_engine_test.go
+dsgvo_module_test.go
+ai_act_module_test.go
+nis2_module_test.go
+escalation_test.go
+assessment_test.go
+feasibility_test.go
+```
+
+Ausführen auf Mac Mini:
+
+```bash
+ssh macmini "/usr/local/bin/docker exec bp-compliance-ai-sdk go test ./internal/ucca/... -v"
+```
diff --git a/mkdocs.yml b/mkdocs.yml
index b2eae9d..f4d3653 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -65,6 +65,7 @@ nav:
     - Document Crawler:
       - Uebersicht: services/document-crawler/index.md
     - SDK Module:
+      - Vorbereitung-Module (Paket 1): services/sdk-modules/vorbereitung-module.md
       - Analyse-Module (Paket 2): services/sdk-modules/analyse-module.md
       - Dokumentations-Module (Paket 3+): services/sdk-modules/dokumentations-module.md
       - DSFA (Art. 35 DSGVO): services/sdk-modules/dsfa.md