// ════════════════════════════════════════════════ // TAXONOMY , All content managed from this object // Export this section as taxonomy.js for Simon // ════════════════════════════════════════════════ const TAXONOMY = { roles: { "Chief Revenue Officer": { tagline: "Growth, margin, and speed. All three, all the time.", objectives: ["Grow top-line revenue", "Protect and improve margin", "Eliminate reactive decision-making", "Accelerate pipeline velocity"], see: [ "Revenue gaps and quota slips surface live, before the forecast meeting, before the miss.", "Pipeline coverage per rep, territory, and product line tracked live. No spreadsheet refresh.", "CAC spikes trigger instantly against thresholds you set once. Margin erosion by channel detected the moment it begins." ], know: [ "Revenue gap traced to one underperforming channel or rep, no two-day analyst investigation.", "CAC inflation pinpointed to two states while 18 others stay on plan. Right fix, no blanket response.", "Forecast deviation attributed to a specific product or market shift. Every answer points to an action." ], intervene: [ "Budget reallocation impact modeled before a dollar moves, upside and downside pre-calculated.", "Pricing, channel, and market entry scenarios quantified before the decision is made or the resource committed.", "Month-end playbook auto-executes: leads re-route, thresholds reset, margin protected. No reactive scramble." ], financial: [ "Organizations using real-time revenue intelligence report 15 to 20% improvement in forecast accuracy, reducing revenue surprises at close. (McKinsey Global Institute, The State of AI in 2024)", "AI-guided pipeline management reduces average sales cycle length by 10 to 15%, accelerating revenue recognition and quarterly predictability. (Gartner, Magic Quadrant for Sales Force Automation, 2024)", "Early CAC and margin anomaly detection prevents 5 to 8% margin leakage that typically goes undetected until period-end reporting. (Forrester, The Total Economic Impact of AI-Driven Revenue Operations, 2024)" ] }, "Chief Executive Officer": { tagline: "Enterprise clarity at the speed of the business, not the speed of the report.", objectives: ["Enterprise-wide performance oversight", "Strategic alignment across all business units", "Board-ready reporting without manual assembly", "Eliminate reactive crisis management"], see: [ "Live enterprise KPIs across every function, updated per second, not per month, no manual consolidation.", "Cross-functional variance alerts fire before information travels through layers of management.", "Business unit performance vs. strategic plan monitored continuously. No Monday morning briefing required." ], know: [ "AI determines whether underperformance is operational, financial, or market-driven, in minutes, not days.", "Risk concentration surfaces where strategic exposure is building before it reaches the board.", "Cross-business downstream impact calculated automatically. Supply chain disruption and revenue effect, quantified before you ask." ], intervene: [ "Strategic scenario simulation, new market, cost reduction, acquisition, impact quantified before the board sees it.", "AI-generated executive narratives convert enterprise data into boardroom-ready insights with recommended actions.", "Board reporting auto-generated. Always current, always accurate, always ready." ], financial: [ "CEOs with real-time enterprise visibility reduce strategic decision lag by 30 to 40%, enabling faster capital reallocation during market shifts. (McKinsey Global Institute, The State of AI in 2024)", "Automated board reporting eliminates 60 to 80 hours per quarter in manual preparation, freeing executive capacity for higher-value decisions. (Gartner, CFO Technology Survey, 2024)", "Proactive risk detection reduces the financial impact of operational disruptions by an estimated 20 to 35% versus reactive response. (Forrester, AI and Business Resilience, 2023)" ] }, "Treasurer": { tagline: "Liquidity confidence, covenant certainty, and zero cash surprises.", objectives: ["Liquidity management and cash forecasting accuracy", "Debt covenant compliance", "FX and interest rate risk mitigation", "Working capital optimization"], see: [ "Live cash position across every account, bank, and entity, not once a day when bank feeds arrive.", "Covenant threshold monitoring fires before a breach becomes a lender conversation.", "FX exposure and hedge positions displayed live. You know your risk every second of the trading day." ], know: [ "Cash forecast deviation traced to payment timing, receivables, or entity-level variance, no manual portal reconciliation.", "Working capital driver analysis reveals which AR bucket, AP term, or inventory build is moving the liquidity needle.", "Covenant risk concentration identified across entities before options become limited." ], intervene: [ "Optimal cash reallocation across entities with projected liquidity impact and sweep cost pre-calculated.", "Covenant compliance alerts paired with AI-suggested corrective actions and the time window available to act.", "Interest rate scenario modeling delivers cost impact and hedge recommendation before the rate decision lands." ], financial: [ "Real-time cash visibility improves cash forecast accuracy by 20 to 30%, reducing idle balances and excess borrowing costs. (AFP, 2024 AFP Liquidity Survey)", "Automated covenant monitoring eliminates breach risk and the renegotiation costs, legal fees, and lender relationship damage that follow. (Gartner, Treasury Technology Trends, 2023)", "Proactive working capital intelligence yields 3 to 5 days of DSO improvement on average, releasing meaningful trapped liquidity. (McKinsey Global Institute, Working Capital Report, 2024)" ] }, "Chief Financial Officer": { tagline: "Capital performance, cost discipline, and liquidity certainty. Managed live.", objectives: ["Capital allocation and ROI optimization", "Liquidity management and cash forecasting", "FP&A accuracy and planning cycle speed", "Cost structure visibility and control"], see: [ "Live P&L vs. plan across every business unit, region, and cost center. Variance is visible the moment it opens, not at month-end close.", "Real-time cash position and 30/60/90-day liquidity forecast updated continuously. No spreadsheet refresh, no treasurer phone call.", "Budget threshold alerts fire before overruns compound, across every function and every line item, before finance is the last to know." ], know: [ "P&L variance traced to the originating transaction, cost center, or business unit in seconds. No two-day analyst investigation.", "Cash flow deviation root-caused to receivables aging, payables timing, or working capital shift. The cause is named, not hypothesized.", "Cost overrun pinpointed to vendor, headcount event, or project in real time. Surgical diagnosis before the board asks the question." ], intervene: [ "Scenario-modeled capital reallocation with projected ROI and payback period pre-built. The business case exists before the conversation starts.", "Working capital optimization ranked by liquidity impact, showing which receivables to accelerate, which payables to extend, and what it recovers.", "Cost reduction playbook per overrun, materiality-ranked and audit-ready. Each team knows exactly what to address and in what order." ], financial: [ "Real-time FP&A intelligence compresses planning cycles by 30 to 50% and improves forecast accuracy, reducing capital mis-allocation. (Gartner, CFO Technology Survey, 2024)", "Continuous cost visibility and AI-guided intervention identify 4 to 8% in addressable cost reduction within the first 12 months of deployment. (McKinsey Global Institute, The CFO Agenda, 2024)", "Proactive working capital monitoring yields an average 3 to 6 days of DSO improvement and measurable reduction in borrowing costs. (Deloitte, Finance 2025: Intelligent Finance, 2024)" ] }, "Chief Marketing Officer": { tagline: "Every dollar working. Every campaign performing. Measured live.", objectives: ["Marketing ROI optimization across all channels", "Demand generation efficiency", "Channel mix optimization", "Eliminate spend waste through live intelligence"], see: [ "Campaign performance by channel, audience, and creative, CAC, CPL, and conversion updated per second.", "Spend vs. plan variance alerts fire before budget overruns compound, not at month end.", "Conversion rate by segment monitored across all active channels simultaneously. Full picture at once." ], know: [ "Campaign underperformance traced to creative fatigue, audience saturation, or channel timing, not vague market softness.", "Multi-touch attribution identifies which touchpoints drive conversion vs. consume budget for assisted credit only.", "Promotional cannibalization detected before the blended number obscures which campaign is pulling from which." ], intervene: [ "Budget reallocation with projected revenue impact and payback period modeled before any spend moves.", "Automated optimization pauses underperforming creatives and shifts spend to top performers, no weekly review.", "Predictive demand forecasting aligns media planning with revenue targets, ending post-campaign analysis that arrives too late." ], financial: [ "Real-time campaign intelligence reduces wasted media spend by 15 to 25%, redirecting budget to channels with proven return. (Forrester, The Total Economic Impact of AI Marketing Platforms, 2024)", "AI-driven audience and channel optimization improves marketing-sourced pipeline conversion rates by 10 to 20%. (Gartner, Marketing Technology Survey, 2024)", "Eliminating manual reporting cycles recovers 15 to 20 hours per week per marketer for revenue-generating activity. (McKinsey Global Institute, The State of AI in 2024)" ] }, "Chief Operating Officer": { tagline: "Operational precision. Supply chain resilience. No surprises in the numbers.", objectives: ["Operational efficiency across all functions", "Supply chain resilience and continuity", "Workforce productivity optimization", "Cost structure visibility and control"], see: [ "Live operational KPIs across every function, throughput, utilization, and cost per unit, per second.", "Supply chain disruption alerts fire the moment a vendor delivery or inventory threshold deviates, before production is affected.", "Cost per unit trending across facilities and shifts simultaneously. Cost creep visible the day it begins." ], know: [ "Operational underperformance traced to process, people, system, or supplier, before the cross-functional blame session.", "Supply chain risk concentration surfaces single points of failure before they stop production.", "Vendor anomalies flagged at the supplier level before they cascade across the production schedule." ], intervene: [ "Process optimization recommendations with projected efficiency gain and payback period modeled, business case built before the proposal.", "Automated supplier escalation with AI-generated alternative sourcing and lead time impact for each option.", "Cost reduction opportunities ranked by materiality and implementation complexity. Highest-impact actions surface first." ], financial: [ "Real-time supply chain visibility reduces unplanned production downtime by 20 to 35%, protecting revenue and avoiding emergency sourcing premiums. (McKinsey Global Institute, Supply Chain 4.0, 2024)", "AI-guided operational intelligence identifies 5 to 10% in addressable cost reduction across labor, logistics, and procurement within 12 months. (Gartner, AI in Operations, 2024)", "Proactive vendor anomaly detection reduces supply disruption incidents by up to 30%, avoiding 2 to 4% annual revenue loss from stockouts. (Forrester, AI and Supply Chain Resilience, 2023)" ] } }, industries: { "Agriculture": { tagline: "Yield certainty, price risk managed, and input costs controlled. All live.", objectives: ["Crop yield optimization by region and input", "Commodity price risk management", "Input cost control across fertilizer, fuel, and labor", "Supply chain and logistics efficiency"], see: [ "Live crop yield vs. seasonal forecast by region, crop, and field, not at harvest when variance is already realized.", "Commodity price variance alerts fire when market movements threaten the margin thresholds you defined at setup.", "Input cost trending tracked live across fertilizer, fuel, labor, and water. Cost creep visible before the income statement." ], know: [ "Yield deviation traced to irrigation inefficiency, soil variance, or input quality, not attributed to seasonal factors without evidence.", "Price risk concentration identifies which commodities carry highest margin exposure before the hedging window closes.", "Logistics bottlenecks identified where delivery delays add cost before they affect crop timing or storage." ], intervene: [ "Harvest timing optimization with projected yield and revenue modeled by field and crop type before equipment deploys.", "Commodity hedging alerts with scenario modeling across multiple price ranges. Margin impact visible before you act.", "Input cost reduction recommendations ranked by region, crop, and procurement window. Purchasing at the optimal moment." ], financial: [ "Precision agriculture intelligence improves per-acre profitability by an estimated 8 to 15% through optimized input timing and harvest decisions. (USDA Economic Research Service and McKinsey Global Institute, Agriculture's Connected Future, 2024)", "Real-time commodity price monitoring and hedging alerts reduce margin volatility by 10 to 20% versus reactive price management. (Gartner, AI in Agriculture, 2023)", "Proactive supplier and logistics intelligence cuts emergency input procurement costs by 5 to 12% annually. (Forrester, AI and Agricultural Supply Chain, 2024)" ] }, "Consumer Goods": { tagline: "SKU-level revenue protected, channel margins defended, and promotions that actually work.", objectives: ["Revenue growth by channel and SKU", "Margin protection across the product portfolio", "Supply chain reliability and agility", "Promotional effectiveness and trade spend efficiency"], see: [ "SKU-level revenue vs. plan by channel, retailer, and region, live, not in the weekly trade report two days after selling ends.", "Promotional ROI monitored in real time against spend thresholds and margin guardrails. You know the return before the promotion ends.", "Channel margin tracked live across retail, e-commerce, and DTC simultaneously. Full margin picture at once." ], know: [ "SKU underperformance traced to distribution gaps, pricing misalignment, or competitive activity, not broad category softness.", "Promotional cannibalization detected before the blended sell-through number hides which SKU is pulling from which.", "Trade spend efficiency reveals which promotions generate true incremental volume vs. funding baseline purchases at a discount." ], intervene: [ "Promotional optimization with projected incremental revenue and margin impact modeled before the trade plan goes to retailer approval.", "Supply chain escalation with AI-generated alternative sourcing and landed cost impact for each option.", "SKU rationalization recommendations ranked by margin contribution, velocity, and strategic value. Portfolio decisions on evidence, not intuition." ], financial: [ "Real-time trade spend intelligence reduces promotional budget waste by 10 to 20%, redirecting spend to promotions with proven incremental lift. (Forrester, The Total Economic Impact of AI Trade Promotion, 2024)", "AI-driven supply chain visibility reduces out-of-stock incidents by 15 to 25%, protecting an estimated 3 to 5% of annual retail revenue at risk from shelf gaps. (McKinsey Global Institute, Consumer Goods Supply Chain, 2024)", "Continuous margin monitoring identifies 2 to 4 margin points of recoverable leakage per year from pricing, trade, and distribution inefficiencies. (Gartner, AI in Consumer Goods, 2024)" ] }, "Oil & Gas": { tagline: "Production optimized, assets protected, and capital projects under control.", objectives: ["Production output optimization across assets", "Regulatory compliance and operational safety", "Capital project cost and schedule management", "Commodity price risk mitigation"], see: [ "23 production and financial KPIs live, from BOPD and LOE per barrel to EBITDAX and realized price, against thresholds calibrated once.", "Wells Down and Lost Production alerts fire per well, per field, every morning, the moment data flows from integrated source systems.", "CAPEX vs. budget and cash flow vs. forecast visible across all entities simultaneously. Budget drift visible the day it starts." ], know: [ "Well anomaly detection clusters production patterns, output degradation and erratic flow flagged before they become reportable shortfalls.", "Predictive maintenance scoring (0 to 100 per well) combines downtime history, maintenance sequences, and stress indicators. Know which well will fail before it does.", "18 automated exception monitors, zero-production wells, conflicting downtime, AP past due, revenue anomalies, no analyst required." ], intervene: [ "AI-ranked workover candidates with cost-to-fix and total barrel potential per well. Intervention decisions backed by well economics, not field intuition.", "Predictive scores drive proactive maintenance scheduling, downtime avoidance quantified before the maintenance window is opened.", "Commodity scenario modeling delivers production curtailment and hedge recommendations before price volatility forces a reactive response." ], financial: [ "Predictive maintenance intelligence reduces unplanned well downtime by 20 to 30%, protecting an estimated 5 to 10% of annual production value per asset. (McKinsey Global Institute, Oil and Gas 4.0, 2024)", "AI-guided workover prioritization improves capital allocation efficiency, with operators reporting 15 to 25% higher return on workover investment. (Gartner, AI in Energy Operations, 2023)", "Automated exception monitoring and accrual intelligence reduce period-close time by 25 to 40%, lowering finance labor costs and audit exposure. (Deloitte, Digital Finance in Oil and Gas, 2024)" ] }, "Public Sector": { tagline: "Policy visibility, budget accountability, and constituent confidence. All measurable.", objectives: ["Policy adherence and compliance monitoring", "Budget accountability across programs and funding sources", "Audit readiness at all times", "Program delivery on time and within scope"], see: [ "Policy adherence and budget utilization visible live across every program, department, and funding source, not in a quarterly review.", "Compliance threshold breaches surface the moment they occur. Time to act before a policy gap becomes an audit finding.", "Service delivery KPIs, response times, resolution rates, and case volumes, monitored continuously, not in the annual report." ], know: [ "Budget variance traced to a specific spending category or procurement decision, not attributed to broad economic factors.", "Audit risk patterns flagged before the external auditor runs the same query. Prior-period policy exceptions do not repeat.", "Program bottleneck analysis identifies which process, vendor, or resource constraint is causing delay, with lead time to fix it." ], intervene: [ "Budget reallocation recommendations with policy impact and compliance risk assessed for each option, before submission for approval.", "Automated compliance reporting with full audit trail. Eliminates manual compilation before every audit cycle.", "Funding change scenarios deliver program prioritization and policy impact before the budget amendment reaches appropriations." ], financial: [ "Continuous compliance monitoring reduces audit findings and remediation costs by an estimated 25 to 40%, avoiding penalties and rework. (Gartner, AI in Government Operations, 2024)", "Real-time budget visibility reduces unplanned year-end spending variances by 15 to 30%, improving funding utilization and reducing waste. (McKinsey Global Institute, Government Productivity, 2023)", "Automated program monitoring and reporting reduces administrative overhead by 20 to 35 hours per reporting cycle, reallocating staff to constituent-facing services. (Deloitte, AI in Public Sector, 2024)" ] } } }; // ════════════════ // STATE // ════════════════ let currentMode = 'role'; let currentSelection = 'Chief Revenue Officer'; function switchMainTab(tab) { document.querySelectorAll('.main-tab').forEach(btn => btn.classList.remove('active')); event.currentTarget.classList.add('active'); document.querySelectorAll('.panel').forEach(p => p.classList.remove('active')); document.getElementById('panel-' + tab).classList.add('active'); } function switchMode(mode) { currentMode = mode; document.getElementById('mode-role').classList.toggle('active', mode === 'role'); document.getElementById('mode-industry').classList.toggle('active', mode === 'industry'); document.getElementById('filter-role').style.display = mode === 'role' ? 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