AI_Presentation_Capabilities:
  Content_Generation:
    - Automatische Gliederungserstellung aus Stichworten
    - Intelligente Texterstellung basierend auf Zielgruppe
    - Datenvisualisierung mit automatischer Chart-Auswahl
    - Multi-Language Support (Deutsch, Englisch, etc.)

  Design_Automation:
    - Corporate Design Integration
    - Automatische Layout-Optimierung
    - Intelligente Farbschema-Anpassung
    - Responsive Design für verschiedene Bildschirmgrößen

  Advanced_Features:
    - Voice-to-Slides Konvertierung
    - PDF/Document Import mit AI-Analyse
    - Real-time Collaboration mit AI-Suggestions
    - Brand Consistency Enforcement

Gamma_Features:
  Input_Methods:
    - Text Prompt: 'Erstelle Präsentation über Digitalisierung im Mittelstand'
    - Document Upload: PDF, Word, Notion-Pages
    - URL Import: Website-Content automatisch strukturieren

  AI_Generation:
    - Automatische Gliederung basierend auf Content-Analyse
    - Intelligente Slide-Verteilung und Hierarchie
    - Automatic Design Selection basierend auf Inhalt
    - Real-time Content Enhancement Suggestions

  Output_Quality:
    - Web-native Präsentationen (responsive)
    - PDF/PowerPoint Export
    - Interactive Elements (Videos, Links, Buttons)
    - Mobile-optimierte Darstellung

Beautiful_AI_Enterprise:
  Smart_Templates:
    - Industry-specific Templates (Finance, Tech, Consulting)
    - Brand Kit Integration (Logos, Farben, Schriften)
    - Automatic Layout Adaptation basierend auf Content-Länge

  AI_Features:
    - Smart Slide Suggestions basierend auf Content-Typ
    - Automatic Data Visualization (Charts, Graphs, Infographics)
    - Image Intelligence (Stock Photo Selection, Sizing)
    - Text Optimization für Readability

  Collaboration:
    - Real-time Team Editing mit AI-Conflict Resolution
    - Version Control mit AI-Change Tracking
    - Comment System mit AI-Suggestion Integration

# ChatGPT PowerPoint Automation Beispiel
def create_presentation_with_chatgpt(topic, target_audience, slide_count):
    prompt = f"""
    Erstelle eine {slide_count}-seitige PowerPoint-Präsentation über {topic}
    für {target_audience}.

    Format:
    Slide 1: Titel und Übersicht
    Slide 2-{slide_count-1}: Hauptinhalt mit Bullet Points
    Slide {slide_count}: Zusammenfassung und Call-to-Action

    Für jede Slide: Titel, 3-5 Bullet Points, Notizen für Sprecher
    Stil: Professionell, deutsch, mittelstandsorientiert
    """

    # API Call zu ChatGPT
    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}],
        temperature=0.7
    )

    return response.choices[0].message.content

Tome_Storytelling:
  AI_Narrative:
    - Automatic Story Arc Generation
    - Emotional Flow Optimization
    - Audience Engagement Prediction

  Content_Integration:
    - Web Research Integration
    - Automatic Fact-Checking
    - Source Attribution
    - Multi-media Integration (Video, Audio, Interactive)

  Presentation_Modes:
    - Auto-play with AI Voiceover
    - Interactive Navigation
    - Mobile-first Design

Office_365_AI_Workflow:
  PowerPoint_Copilot:
    - Natural Language Commands: 'Erstelle Slide über Q4 Zahlen'
    - Automatic Design Suggestions
    - Content Import aus Word, Excel, Teams

  Teams_Integration:
    - Meeting Recordings → Automatic Presentation Creation
    - Collaborative AI-Editing in Teams
    - Direct Sharing mit AI-generated Summaries

  OneDrive_Sync:
    - Cloud-based AI Processing
    - Automatic Backup mit Version Control
    - Cross-device Synchronization

# AI PowerPoint Enterprise Stack
docker-compose.yml:
services:
  ai-presentation-service:
    image: custom/ai-presentations:latest
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - GAMMA_API_KEY=${GAMMA_API_KEY}
      - COMPANY_BRAND_CONFIG=/config/brand.json
    volumes:
      - ./templates:/app/templates
      - ./brand-assets:/app/assets
    ports:
      - "8080:8080"

  content-processor:
    image: custom/content-ai:latest
    environment:
      - LANGUAGE=de-DE
      - COMPLIANCE_MODE=DSGVO

# Automatisierter Monatsbericht
def generate_monthly_report(excel_data_path, template="business_report"):
    # 1. Daten aus Excel extrahieren
    data = pd.read_excel(excel_data_path)

    # 2. KPI Analyse mit AI
    insights = analyze_kpis_with_ai(data)

    # 3. Gamma API für Präsentation
    presentation = gamma_api.create_presentation(
        title="Monatsbericht " + datetime.now().strftime("%B %Y"),
        data_insights=insights,
        template=template,
        language="de"
    )

    return presentation

Proposal_Automation:
  Input_Sources:
    - CRM Data (Kunde, Industrie, Bedürfnisse)
    - Product Database
    - Previous Successful Proposals

  AI_Processing:
    - Automatic Customer Analysis
    - Product-Market Fit Calculation
    - Competitive Positioning
    - ROI Projections

  Output:
    - 15-20 Slide Proposal
    - Executive Summary
    - Technical Appendix
    - Interactive Demo Links

def update_training_materials(topic, last_update_date):
    # 1. Aktuelle Entwicklungen recherchieren
    recent_changes = research_recent_developments(topic, last_update_date)

    # 2. Bestehende Slides analysieren
    current_content = analyze_existing_slides(f"training_{topic}.pptx")

    # 3. AI-Update Recommendations
    updates = chatgpt_suggest_updates(current_content, recent_changes)

    # 4. Automatische Slide-Erstellung
    new_slides = create_updated_slides(updates)

    return new_slides

Week_1-2_Assessment:
  Current_State_Analysis:
    - Presentation Creation Hours/Month
    - Design Quality Baseline
    - Brand Consistency Score
    - Team Skill Assessment

  Tool_Evaluation:
    - Gamma Trial (Marketing Team)
    - Beautiful.AI Trial (Sales Team)
    - ChatGPT Integration Test (IT Team)

  Requirements_Definition:
    - Brand Guidelines Integration
    - Compliance Requirements (DSGVO)
    - Integration Needs (Office 365, CRM)

Week_3-5_Pilot:
  Team_Training:
    - AI Tools Workshop (4 Stunden)
    - Best Practices Definition
    - Template Creation Session

  Pilot_Projects:
    - Marketing: 5 Product Presentations
    - Sales: 10 Customer Proposals
    - HR: Training Material Updates

  Metrics_Tracking:
    - Time Savings per Presentation
    - Quality Score (Peer Review)
    - User Satisfaction Survey

Week_6-8_Rollout:
  Full_Deployment:
    - All Teams Access to Chosen Tools
    - Corporate Brand Template Integration
    - Workflow Documentation

  Advanced_Features:
    - API Integrations Setup
    - Automation Scripts Deployment
    - Advanced Training Sessions

  Continuous_Improvement:
    - Weekly Usage Analytics Review
    - Monthly Template Updates
    - Quarterly Tool Evaluation

Investment_Calculation:
  Tool_Costs_Annual:
    - Gamma Business: $2,400 (20 Nutzer)
    - Beautiful.AI Team: $3,600 (20 Nutzer)
    - ChatGPT Plus: $2,400 (20 Nutzer)
    - Total: $8,400/Jahr

  Implementation_Costs:
    - Training & Setup: $15,000 (einmalig)
    - Template Development: $8,000 (einmalig)
    - Integration Development: $12,000 (einmalig)
    - Total: $35,000 einmalig

  Total_Year_1: $43,400

Benefits_Annual:
  Time_Savings:
    - 20 Mitarbeiter × 4h Präsentationen/Monat × 70% Ersparnis
    - = 56h gesparte Zeit/Monat = 672h/Jahr
    - × $75 Stundensatz = $50,400/Jahr

  Quality_Improvements:
    - Reduktion Design-Nacharbeit: $15,000/Jahr
    - Schnellere Approval-Zyklen: $12,000/Jahr
    - Erhöhte Proposal Win-Rate: $25,000/Jahr

  Total_Benefits: $102,400/Jahr

DSGVO_Compliance:
  Data_Processing:
    - On-Premises AI Options prüfen
    - EU-Server für Cloud-basierte Tools
    - Data Processing Agreements (DPA)

  Content_Security:
    - Automatic Sensitive Data Detection
    - Redaction Tools für vertrauliche Inhalte
    - Access Control und Audit Trails

  Vendor_Management:
    - DSGVO-konforme Tool-Auswahl
    - Regular Compliance Audits
    - Data Retention Policies

Secure_AI_Presentation_Stack:
  Primary_Tools:
    - On-Premises ChatGPT Alternative (Ollama)
    - EU-hosted Gamma/Beautiful.AI Accounts
    - Microsoft 365 mit EU Data Residency

  Security_Measures:
    - End-to-End Encryption
    - Regular Data Purging
    - Access Logging
    - Multi-Factor Authentication

Future_Trends:
  Real_Time_AI:
    - Live Presentation Enhancement
    - Audience Reaction Analysis
    - Dynamic Content Adaptation

  Advanced_Integration:
    - Voice-to-Slides in Echtzeit
    - AR/VR Presentation Modes
    - AI Presenter Coaching

  Hyper_Personalization:
    - Individual Learning Styles
    - Cultural Adaptation
    - Industry-specific AI Models