/* AIVC Spectrum — real data extracted from cowork freezes (Mai 2026) Sources: 2026-05-05-aivch / aivco / aivcir / aivchw / 2026-05-11-aivcio. Likert 1–5 converted to 0–100 (× 20). Each Facette carries its own D1–D6. */ const Period = "Mai 2026"; const PrevPeriod = "Apr 2026"; const FacetteColors = { aivch: { fg: "#1D4477", bg: "#EEF2F8" }, aivco: { fg: "#00A19F", bg: "#E1F4F3" }, aivcir: { fg: "#005E65", bg: "#E6F2F2" }, aivchw: { fg: "#52555C", bg: "#EFEFEC" }, aivcio: { fg: "#00B1EB", bg: "#E0F2FA" }, }; const L = v => Math.round(v * 20); // Likert → 0–100 const Facetten = [ { id: "aivch", code: "AIVCH", title: "Health Check", purpose: "Organisations-Readiness", description: "Wie reif ist die Organisation für AI Value Capture? 6 Dimensionen, 18 Sub-Dim, 60 Items.", owner: "Jay Manuzon", lastUpdate: "5. Mai 2026 · n = 10", score: L((3.35+2.60+2.67+3.57+2.44+3.18)/6), delta: +4, band: "Moderate", color: FacetteColors.aivch, sparkline: [48, 52, 54, 56, 57, 58, 59], dimensions: [ { id: "D1", label: "AI Strategy & Vision", score: L(3.35), cat: "Foundation" }, { id: "D2", label: "AI Literacy & Skills", score: L(2.60), cat: "Foundation" }, { id: "D3", label: "Process & Workflow Readiness",score: L(2.67), cat: "Foundation" }, { id: "D4", label: "Leadership & Culture", score: L(3.57), cat: "Enabler" }, { id: "D5", label: "Organizational Support", score: L(2.44), cat: "Enabler" }, { id: "D6", label: "Human-Centric Integration", score: L(3.18), cat: "Enabler" }, ], cross: { Strategie: 60, Daten: 50, Technologie: 49, Menschen: 67, Governance: 49 }, }, { id: "aivco", code: "AIVCO", title: "Operations Potential", purpose: "Abteilungs-Automatisierungs-Potenzial", description: "Pro Abteilung: Automatisierung vs. Augmentation. 6 Dim · 18 Sub · 54 Items.", owner: "Jay Manuzon", lastUpdate: "5. Mai 2026 · n = 18 · 6 Depts", score: L((3.42+3.13+3.33+3.18+3.38+3.10)/6), delta: +5, band: "Significant", color: FacetteColors.aivco, sparkline: [58, 60, 61, 62, 63, 64, 65], dimensions: [ { id: "D1", label: "Task Profile & Repetitiveness", score: L(3.42), cat: "Potential" }, { id: "D2", label: "Data & Information Quality", score: L(3.13), cat: "Potential" }, { id: "D3", label: "Process Standardization", score: L(3.33), cat: "Potential" }, { id: "D4", label: "Decision Complexity", score: L(3.18), cat: "Potential" }, { id: "D5", label: "Digital Maturity & Tools", score: L(3.38), cat: "Readiness" }, { id: "D6", label: "Human Interaction Intensity", score: L(3.10), cat: "Augmentation" }, ], cross: { Strategie: 67, Daten: 63, Technologie: 68, Menschen: 62, Governance: 64 }, }, { id: "aivcir", code: "AIVCIR", title: "Infrastructure ROI", purpose: "IT-Infrastruktur-Reife", description: "Cloud, Daten, API, Security, ML-Platform, IT-Organisation. 6 Dim · 42 Items · Hybrid ROI.", owner: "Jay Manuzon", lastUpdate: "5. Mai 2026 · n = 8", score: L((2.8+2.3+2.5+3.1+1.9+2.6)/6), delta: +2, band: "Foundational gaps", color: FacetteColors.aivcir, sparkline: [43, 45, 47, 48, 49, 50, 51], dimensions: [ { id: "D1", label: "Cloud & Compute Infrastructure", score: L(2.8), target: L(4.0) }, { id: "D2", label: "Data Infrastructure & Arch.", score: L(2.3), target: L(4.0) }, { id: "D3", label: "Integration & API Landscape", score: L(2.5), target: L(3.5) }, { id: "D4", label: "Security, Compliance & Gov.", score: L(3.1), target: L(4.0) }, { id: "D5", label: "AI/ML Platform & Tooling", score: L(1.9), target: L(3.5) }, { id: "D6", label: "IT Organization & Competence", score: L(2.6), target: L(3.5) }, ], cross: { Strategie: 50, Daten: 46, Technologie: 48, Menschen: 52, Governance: 62 }, }, { id: "aivchw", code: "AIVCHW", title: "Hardware ROI", purpose: "Endgeräte & Compute-Hardware", description: "Workstations, Server, Mobile/Edge, Netzwerk, Specialized HW, Procurement. 6 Dim · 42 Items.", owner: "Jay Manuzon", lastUpdate: "5. Mai 2026 · n = 8", score: L((2.4+2.1+1.8+2.9+1.6+2.3)/6), delta: +1, band: "Critical gaps", color: FacetteColors.aivchw, sparkline: [38, 39, 41, 42, 43, 43, 44], dimensions: [ { id: "D1", label: "Workstation & End Devices", score: L(2.4), target: L(4.0) }, { id: "D2", label: "Server & Compute Infrastructure", score: L(2.1), target: L(3.5) }, { id: "D3", label: "Mobile Devices & Edge Computing", score: L(1.8), target: L(3.0) }, { id: "D4", label: "Network & Connectivity", score: L(2.9), target: L(4.0) }, { id: "D5", label: "Peripherals & Specialized HW", score: L(1.6), target: L(3.0) }, { id: "D6", label: "Procurement, Lifecycle & TCO", score: L(2.3), target: L(3.5) }, ], cross: { Strategie: 40, Daten: 42, Technologie: 44, Menschen: 35, Governance: 46 }, }, { id: "aivcio", code: "AIVCIO", title: "Individual Operations", purpose: "Task-Readiness pro Person (Self-Pilot)", description: "8 Tasks · Hot / Worth / Not Yet · 13,5 Hot-Stunden/Woche Potenzial. N = 1, provisional.", owner: "Jay Manuzon (Self-Pilot)", lastUpdate: "11. Mai 2026 · N = 1 · 8 Tasks", score: L((3.7+3.6+4.0+3.8+3.8+3.2)/6), delta: 0, band: "2 Hot · 3 Worth · 3 Not Yet", color: FacetteColors.aivcio, sparkline: [72, 72, 73, 73, 73, 73, 74], dimensions: [ { id: "D1", label: "Format & Quelle", score: L(3.7), cat: "Input-Klarheit" }, { id: "D2", label: "Regeln & Ausnahmen", score: L(3.6), cat: "Input-Klarheit" }, { id: "D3", label: "Format & Ergebnis", score: L(4.0), cat: "Output-Klarheit" }, { id: "D4", label: "Qualität & Akzeptanz", score: L(3.8), cat: "Output-Klarheit" }, { id: "D5", label: "Frequenz", score: L(3.8), cat: "Zeitlast" }, { id: "D6", label: "Dauer pro Instanz", score: L(3.2), cat: "Zeitlast" }, ], cross: { Strategie: 70, Daten: 75, Technologie: 65, Menschen: 78, Governance: 72 }, }, ]; const CrossAxes = ["Strategie", "Daten", "Technologie", "Menschen", "Governance"]; const FamilyScore = Math.round( Facetten.reduce((s, g) => s + g.score, 0) / Facetten.length ); const FamilyDelta = +3; const FamilyTrend = [ { period: "Nov '25", score: 44, forecast: false }, { period: "Dez '25", score: 47, forecast: false }, { period: "Jan '26", score: 50, forecast: false }, { period: "Feb '26", score: 53, forecast: false }, { period: "Mär '26", score: 55, forecast: false }, { period: "Apr '26", score: 56, forecast: false }, { period: "Mai '26", score: FamilyScore, forecast: false }, { period: "Jun '26", score: FamilyScore + 3, forecast: true }, { period: "Jul '26", score: FamilyScore + 5, forecast: true }, { period: "Aug '26", score: FamilyScore + 7, forecast: true }, ]; const TopHebel = [ { id: "aivchw", facette: "AIVCHW", title: "Peripherals & Specialized HW", detail: "D5 = 32/100 — niedrigster Score im Spectrum. GPU-Workstations + Cooling priorisieren.", impact: "Hoch", potential: "+8 bis +12", color: FacetteColors.aivchw }, { id: "aivcir", facette: "AIVCIR", title: "AI/ML Platform & Tooling", detail: "D5 = 38/100 — keine zentrale ML-Ops-Pipeline. Plattform + Model-Registry aufbauen.", impact: "Hoch", potential: "+6 bis +10", color: FacetteColors.aivcir }, { id: "aivch", facette: "AIVCH", title: "Organizational Support", detail: "D5 = 49/100 — kein ring-fenced AI-Budget, EU AI Act Lücken.", impact: "Mittel", potential: "+4 bis +7", color: FacetteColors.aivch }, ]; const Signals = [ { label: "Hot-Stunden / Woche (AIVCIO)", value: "13.5", direction: "up", note: "potenzielle Wochenersparnis" }, { label: "Investment Gap (AIVCIR)", value: "1.4", direction: "down", note: "Punkte zu Target" }, { label: "High-Pri Dim. (AIVCHW)", value: "5/6", direction: "up", note: "Gap ≥ 1.0", alert: true }, { label: "Spectrum Avg (Likert)", value: "2.8", direction: "up", note: "+0.1 vs. Apr" }, ]; const NextReview = { title: "AIVC Spectrum Strategy Sync", date: "21. Mai 2026", time: "09:00 – 11:00 CET", participants: 7, }; Object.assign(window, { AIVC_DATA: { Period, PrevPeriod, Facetten, Glieder: Facetten, CrossAxes, FamilyScore, FamilyDelta, FamilyTrend, TopHebel, Signals, NextReview }, });