This is not a new demonstration format. It is the existing public-case verification process that Minerva Advisor applies to every case study. The material comes from an official, publicly available PA Consulting case description. We first isolate the later-stage answers that PA Consulting eventually published, then reconstruct only what was knowable at the actual moment of decision into an educational data package. This is an independent teaching simulation based on that public source. It is not real correspondence, it does not represent real client results, and PA Consulting has not used, reviewed, endorsed, sponsored, certified, or commissioned Minerva Advisor in any way.

The case opens with a North American utility serving millions of customers across a vast, environmentally challenging service area. Customers expect reliable service, and increasingly expect renewable energy options and digital tools that give them insight into and control over their own energy use. Previous strategic planning efforts at this utility had already failed to deliver the expected change. The decision question is straightforward but consequential: should the utility immediately launch a full, comprehensive customer experience roadmap, or should it first sequence an initial set of time-bound, stoppable initiatives, tested against customer outcomes, capability gaps, and cross-functional delivery risk?

This run leaves a five-item work receipt that a decision owner can audit line by line. First, it drew on one public source. Second, it identified four distinct decision-making roles. Third, it separated six confirmed facts from two inferences and three open questions. Fourth, it compared exactly two candidate paths forward. Fifth, it retained three alternative explanations and one explicit reversal condition, so nothing is quietly discarded.

What is actually known: several past strategic plans failed to deliver the change the utility expected, and the service area itself faces serious environmental challenges. What remains unknown: the root causes behind that prior failure, how customer segment needs actually differ, where the real capability gaps sit, how functional units depend on one another, and how any candidate initiative would affect outage response, disaster resilience, regulatory standing, cost, and equity.

The strongest challenge to sequencing evidence first is direct: perhaps the prior failures were caused by weak execution accountability, not a lack of analysis, in which case another evidence phase simply recreates the same stalling pattern. It's also possible that segment and resilience unknowns could be resolved quickly using existing operational data, and that visible inaction itself creates regulatory or reputational risk. The reversal condition is explicit: if root-cause analysis shows the prior failure was driven by accountability or prioritization gaps rather than unresolved capability or resilience unknowns, the recommendation reverses, and the utility should proceed with a phased full rollout instead of an extended evidence phase.

Later in the public case, PA Consulting disclosed its own methodology: a customer experience maturity model built around seven experience dimensions, a Customer 4.0 approach, engagement with five thousand customers, a workshop with one hundred stakeholders, seventy-five generated ideas, design thinking to build the vision and business case, and a prioritization engine that ranked initiatives into a final roadmap. None of that later-stage content was given to Minerva. The published answer was fully held out, so the judgment you're about to see was formed without any knowledge of the official methodology.

Three advisors then cross-check the same judgment from different angles. Marcus converges on the real decision at stake: how to sequence the first batch of initiatives, not whether to act at all. Sofia simulates the downstream consequences for customer strategy, operational resilience, the transformation office, and the steering committee. Evelyn challenges the group directly, asking whether building evidence first simply becomes another round of planning without action, given that multiple past plans have already failed. All three converge on the same answer: a time-boxed, stoppable, cross-functional pilot, with Evelyn insisting that resilience stress testing must be tied directly to execution accountability, not treated as a separate exercise.

The executive response adds one binding condition to the Decision Room: the first batch of initiatives must simultaneously flag customer outcomes, reliability and resilience risks, capability dependencies, named owners, and explicit stop conditions. The system logs that response as a formal receipt. Importantly, adding this condition does not change the underlying path. Minerva shows that the executive's input reinforces the evidence-based prioritization direction and tightens its execution thresholds, rather than shifting the recommendation itself.

Comparing the two options directly: launching a full roadmap immediately would demonstrate resolve quickly, but with root causes, capability gaps, and cross-functional dependencies still unconfirmed, it risks spreading resources thin again and overlooking core service and resilience risks, repeating the utility's prior failure pattern. Time-boxed, evidence-based prioritization instead selects a smaller, executable first batch of initiatives, at the acknowledged cost of slower customer-visible change. Given the unresolved unknowns, the decision owner chooses the second path.

The committed action is concrete: the Transformation Office and the Operational Resilience team jointly submit customer outcomes, capability gaps, named owners, cross-functional dependencies, and explicit stop-or-scale conditions for the first batch of candidate initiatives, within a bounded evaluation window. Minerva does not claim to replicate or complete PA Consulting's official research, prioritization engine, or published roadmap; it only recommends how to sequence the first defensible step.

This case passed ten out of ten decision-quality checks. The actual run used four model calls, delivered its first decision-ready judgment in 17.386 seconds, and completed all cross-checks in 24.858 seconds, comfortably passing both the 30-second first-decision threshold and the 45-second complete-result threshold. Decision quality and speed both passed. This remains a single-case test run performed as an independent teaching simulation; it does not represent production-level service, real customer outcomes, or any PA Consulting endorsement of Minerva Advisor.