660295e218
The admin-v2 application was incomplete in the repository. This commit restores all missing components: - Admin pages (76 pages): dashboard, ai, compliance, dsgvo, education, infrastructure, communication, development, onboarding, rbac - SDK pages (45 pages): tom, dsfa, vvt, loeschfristen, einwilligungen, vendor-compliance, tom-generator, dsr, and more - Developer portal (25 pages): API docs, SDK guides, frameworks - All components, lib files, hooks, and types - Updated package.json with all dependencies The issue was caused by incomplete initial repository state - the full admin-v2 codebase existed in backend/admin-v2 and docs-src/admin-v2 but was never fully synced to the main admin-v2 directory. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
86 lines
4.2 KiB
TypeScript
86 lines
4.2 KiB
TypeScript
/**
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* Demo Use Cases for AI Compliance SDK
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*/
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import { UseCaseAssessment, AssessmentResult } from '../types'
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export const DEMO_USE_CASES: UseCaseAssessment[] = [
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{
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id: 'demo-uc-1',
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name: 'KI-gestützte Kundenanalyse',
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description: 'Analyse von Kundenverhalten und Präferenzen mittels Machine Learning zur Personalisierung von Angeboten und Verbesserung des Customer Lifetime Value. Das System verarbeitet Transaktionsdaten, Clickstreams und demographische Informationen.',
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category: 'Marketing',
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stepsCompleted: 5,
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steps: [
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{ id: 'uc1-step-1', name: 'Grunddaten', completed: true, data: { type: 'customer-analytics', department: 'Marketing' } },
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{ id: 'uc1-step-2', name: 'Datenquellen', completed: true, data: { sources: ['CRM', 'Webshop', 'Newsletter'] } },
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{ id: 'uc1-step-3', name: 'KI-Komponenten', completed: true, data: { algorithms: ['Clustering', 'Recommender', 'Churn-Prediction'] } },
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{ id: 'uc1-step-4', name: 'Betroffene', completed: true, data: { subjects: ['Kunden', 'Interessenten'] } },
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{ id: 'uc1-step-5', name: 'Risikobewertung', completed: true, data: { riskLevel: 'HIGH' } },
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],
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assessmentResult: {
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riskLevel: 'HIGH',
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applicableRegulations: ['DSGVO', 'AI Act', 'TTDSG'],
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recommendedControls: ['Einwilligungsmanagement', 'Profilbildungstransparenz', 'Opt-out-Mechanismus'],
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dsfaRequired: true,
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aiActClassification: 'LIMITED',
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},
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createdAt: new Date('2026-01-15'),
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updatedAt: new Date('2026-02-01'),
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},
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{
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id: 'demo-uc-2',
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name: 'Automatisierte Bewerbungsvorauswahl',
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description: 'KI-System zur Vorauswahl von Bewerbungen basierend auf Lebenslauf-Analyse, Qualifikationsabgleich und Erfahrungsbewertung. Ziel ist die Effizienzsteigerung im Recruiting-Prozess bei gleichzeitiger Gewährleistung von Fairness.',
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category: 'HR',
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stepsCompleted: 5,
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steps: [
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{ id: 'uc2-step-1', name: 'Grunddaten', completed: true, data: { type: 'hr-screening', department: 'Personal' } },
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{ id: 'uc2-step-2', name: 'Datenquellen', completed: true, data: { sources: ['Bewerbungsportal', 'LinkedIn', 'XING'] } },
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{ id: 'uc2-step-3', name: 'KI-Komponenten', completed: true, data: { algorithms: ['NLP', 'Matching', 'Scoring'] } },
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{ id: 'uc2-step-4', name: 'Betroffene', completed: true, data: { subjects: ['Bewerber'] } },
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{ id: 'uc2-step-5', name: 'Risikobewertung', completed: true, data: { riskLevel: 'HIGH' } },
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],
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assessmentResult: {
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riskLevel: 'HIGH',
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applicableRegulations: ['DSGVO', 'AI Act', 'AGG'],
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recommendedControls: ['Bias-Monitoring', 'Human-in-the-Loop', 'Transparenzpflichten'],
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dsfaRequired: true,
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aiActClassification: 'HIGH',
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},
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createdAt: new Date('2026-01-20'),
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updatedAt: new Date('2026-02-02'),
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},
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{
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id: 'demo-uc-3',
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name: 'Chatbot für Kundenservice',
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description: 'Konversationeller KI-Assistent für die automatisierte Beantwortung von Kundenanfragen im First-Level-Support. Basiert auf Large Language Models mit firmeneigenem Wissen.',
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category: 'Kundenservice',
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stepsCompleted: 5,
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steps: [
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{ id: 'uc3-step-1', name: 'Grunddaten', completed: true, data: { type: 'chatbot', department: 'Support' } },
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{ id: 'uc3-step-2', name: 'Datenquellen', completed: true, data: { sources: ['FAQ', 'Wissensdatenbank', 'Ticketsystem'] } },
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{ id: 'uc3-step-3', name: 'KI-Komponenten', completed: true, data: { algorithms: ['LLM', 'RAG', 'Intent-Classification'] } },
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{ id: 'uc3-step-4', name: 'Betroffene', completed: true, data: { subjects: ['Kunden', 'Interessenten'] } },
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{ id: 'uc3-step-5', name: 'Risikobewertung', completed: true, data: { riskLevel: 'MEDIUM' } },
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],
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assessmentResult: {
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riskLevel: 'MEDIUM',
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applicableRegulations: ['DSGVO', 'AI Act'],
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recommendedControls: ['KI-Kennzeichnung', 'Übergabe an Menschen', 'Datensparsamkeit'],
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dsfaRequired: false,
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aiActClassification: 'LIMITED',
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},
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createdAt: new Date('2026-01-25'),
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updatedAt: new Date('2026-02-03'),
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},
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]
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export function getDemoUseCases(): UseCaseAssessment[] {
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return DEMO_USE_CASES.map(uc => ({
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...uc,
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createdAt: new Date(uc.createdAt),
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updatedAt: new Date(uc.updatedAt),
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}))
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}
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