feat(pitch-deck): insurance optimization, new positions, funding, slide reorder
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- Insurance: combined E&O+Produkt, realistic costs (~800 vs 1708 EUR/Mon)
- New: Betriebshaftpflicht, Dienstreise-KV, Gruppenunfall, Key Man
- New: Recruiting, ext. DSB, Zertifizierung (ISO 27001)
- BG: 0.5% instead of 2.77% (VBG IT/Büro)
- Marketing: 8% (2026-28), 10% (2029+)
- Bewirtungskosten: all customers x 50 EUR (not just Enterprise)
- Messen: 2x in 2029, 3x in 2030
- Liquidität: Fördergelder/Grants + Forschungszulage (§27a EStG)
- Serverkosten tooltip updated
- Slide reorder: Strategy+Finanzplan after 18, Risks before Glossary
- 110→380+ everywhere, Compliance Optimizer on exec summary

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-04-21 23:07:30 +02:00
parent 798c2c4373
commit 2dfc47d67e
9 changed files with 111 additions and 45 deletions

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@@ -78,8 +78,8 @@ export const PRESENTER_FAQ: FAQEntry[] = [
keywords: ['rag', 'rechtstexte', 'legal texts', 'wissensbasis', 'knowledge base', 'vektordatenbank', 'vector', 'gesetze', 'laws'],
question_de: 'Wie funktioniert die Wissensbasis?',
question_en: 'How does the knowledge base work?',
answer_de: 'Unsere RAG-Engine (Retrieval Augmented Generation) umfasst über 25 Tausend indexierte Originaldokumente und über 25.000 extrahierte Controls — DSGVO, AI Act, CRA, NIS2, Maschinenverordnung und 110 Gesetze und Regularien für 10 Branchen. Bei jeder Compliance-Analyse werden die relevanten Paragraphen und Controls automatisch herangezogen. KI-Agenten arbeiten als spezialisierte Services und liefern rechtlich fundierte Antworten mit Quellennachweis.',
answer_en: 'Our RAG engine (Retrieval Augmented Generation) includes over 25,000 indexed original documents and over 25,000 extracted controls — GDPR, AI Act, CRA, NIS2, Machinery Regulation and 110 laws and regulations across 10 industries. For every compliance analysis, the relevant paragraphs and controls are automatically retrieved. AI agents operate as specialized services and deliver legally grounded answers with source references.',
answer_de: 'Unsere RAG-Engine (Retrieval Augmented Generation) umfasst über 25 Tausend indexierte Originaldokumente und über 25.000 extrahierte Controls — DSGVO, AI Act, CRA, NIS2, Maschinenverordnung und 380+ Gesetze und Regularien für 10 Branchen. Bei jeder Compliance-Analyse werden die relevanten Paragraphen und Controls automatisch herangezogen. KI-Agenten arbeiten als spezialisierte Services und liefern rechtlich fundierte Antworten mit Quellennachweis.',
answer_en: 'Our RAG engine (Retrieval Augmented Generation) includes over 25,000 indexed original documents and over 25,000 extracted controls — GDPR, AI Act, CRA, NIS2, Machinery Regulation and 380+ laws and regulations across 10 industries. For every compliance analysis, the relevant paragraphs and controls are automatically retrieved. AI agents operate as specialized services and deliver legally grounded answers with source references.',
goto_slide: 'product',
priority: 7,
},