This case follows Minerva Advisor's existing verification process, not a new demonstration format. The evidence comes from an official Tredence public case. We first isolate the later-stage answers, then reconstruct only what was knowable at decision time into a teaching data package. This is an independent teaching simulation based on a public source, not real correspondence and not real client results, and it does not imply that Tredence used, reviewed, endorsed, sponsored, certified, or commissioned Minerva Advisor. The case opens with a European consumer goods company that owns more than two thousand food and beverage brands, all requiring round-the-clock availability. Raw material sourcing is volatile, and the existing procurement and risk process already causes shortages through delays, manual errors, and a lack of dynamic data. The Chair of the Global Procurement and Supply Risk Committee must decide whether to immediately build a global procurement risk command center, or first run a bounded, stoppable pilot on a small number of high-risk materials and plants to validate data, alerts, accountability, and response thresholds. This live run drew on one official source, identified four roles, separated five confirmed facts, two inferences, and three open items, compared both paths side by side, and preserved three alternative explanations along with one reversal condition. That five-item receipt gives executives a clear, auditable record of exactly what the system checked before recommending a path forward. What is confirmed: material volatility, process delays, and manual errors have already caused shortages. What remains unconfirmed at decision time: which materials, plants, and supply paths carry the highest risk; the quality of inventory, order, transportation, and external data; and whether any alert can actually trigger alternative sourcing, inventory, or scheduling action. Those unknowns anchor the entire recommendation. The strongest challenge, raised by advisor Evelyn, is that a bounded pilot may underestimate how fast shortages spread once several high-risk materials move at once. The system holds a matching reversal condition: if quantified ongoing shortage losses under current processes exceed the cost of pilot delay, and the company's scale genuinely demands immediate unified visibility, then the global build-out should proceed ahead of pilot validation. To keep the test honest, Tredence's later-stage global command center design, its integration of more than two hundred internal and external data points, the six-month raw material risk outlook, the lead-time and shortage-likelihood forecasting methods, and the resulting ninety-million-dollar risk exposure figure with its accuracy rates were all held out. The published answer was excluded from the inputs, so Minerva had no prior knowledge of the official design, methodology, or quantified outcomes. Three advisors cross-check one judgment from different angles. Marcus frames the real decision as first validating which materials and plants matter most. Sofia models the operational consequences for procurement, plants, data operations, and the committee itself. Evelyn presses on whether the pilot underestimates simultaneous shortage spread. All three independently converge on the same recommendation: a time-boxed pilot focused on the highest-risk materials and plants. The executive adds a firm condition to the Decision Room: select materials and plants first by shortage losses and cascading production risk; tie every alert to procurement accountability, a response deadline, and a defined false-positive handling process; and expand immediately if multiple materials show simultaneous shortage spread. The system logs this as a response receipt, and the Decision Room shows whether that executive input changes the underlying judgment. Comparing the two paths: immediate global build-out delivers faster visibility, but with data quality and accountability still undefined, false positives get amplified and the resulting costs become difficult to reverse. The bounded pilot instead validates data, alerts, and response first, at the near-term cost of not covering every brand immediately. The executive selects the pilot path while preserving a clear expansion trigger. The committed action: procurement risk, plant, and data operations teams jointly define the highest-risk materials and plants, and establish data quality standards, alerting rules, accountability owners, and stop-or-expand conditions before any build begins. Minerva does not claim that a global command center has been built, that a forecasting algorithm has been selected, or that any shortage-risk outcome has occurred. This case passed all ten decision quality checks. The actual run used 4 model calls, delivered the first decision in 21.219 seconds, and completed the full result in 29.409 seconds, passing the 30-second first-decision threshold and the 45-second complete-result threshold. This remains a single-case live test, not a substitute for production-environment service levels or real customer outcomes.