This case follows the same verification process Minerva Advisor applies to every existing public case study; it is not a new demonstration format and no case-specific product mode was added. It is sourced from Publicis Sapient's official public case study description. We first isolate the published outcome, then rebuild only what was knowable at the moment of decision into a training data package Minerva reasons through independently. This is an independent teaching simulation based on that public source. It is not real correspondence, and it does not imply that Publicis Sapient used, reviewed, endorsed, sponsored, certified, or commissioned Minerva Advisor.

The case opens with a top-100 global automaker whose existing white-label service reservation platform showed low market usage, even though improving it could just as easily benefit competitors sharing the same platform. Service reservations touch vehicle owners, dealers, the mobile app, the website, and on-site service advisors, all tightly wired into daily operations. The Automotive Digital Service Investment Committee had to decide whether to commit immediately to a full proprietary, differentiated platform, or first run a time-boxed pilot across representative owner and dealer journeys to test need, adoption, and integration dependencies before committing further.

Every run leaves a five-item work receipt executives can audit on demand. First, one official public source was used. Second, six confirmed facts were separated from two inferences and three open questions. Third, two competing paths were formally compared. Fourth, three alternative explanations were preserved rather than discarded. Fifth, one explicit reversal condition was defined up front, so the recommendation stays testable rather than fixed.

What was known: the white-label platform had low usage, and service reservations spanned owners, dealers, websites, apps, and on-site advisors. What remained unknown: the true root cause of low adoption, which differentiating capabilities actually mattered, whether dealers would embrace a new build, and the integration cost of either improving the shared platform or building fully in-house, alongside unresolved sunk-cost considerations in the existing system.

The strongest challenge Minerva preserved: low adoption might simply reflect a user experience or process problem, in which case improving the shared platform would suffice, and a small dealer sample could understate real integration costs. The reversal condition was explicit: if further evidence showed the shared platform's low adoption was fixable without new build investment, both the pilot and the proprietary path should be abandoned in favor of shared-platform remediation.

Held out from Minerva entirely were the case's later developments: Publicis Sapient's full service reservation overhaul, executive alignment on the proprietary platform, the formation of a clear backlog and MVP team, and early testing that showed excitement from both owners and dealer staff. None of that outcome data reached the model. Minerva had to reason from the open decision point alone, without knowing what was ultimately chosen or how it performed.

Three advisors cross-checked the same judgment from different angles. Marcus focused on what evidence the ownership assumption actually required. Sofia modeled consequences across owners, dealers, technology, and finance. Evelyn challenged the pilot's representativeness and the shrinking competitive window. All three converged on a time-boxed, two-sided journey pilot, with Evelyn specifically warning that validating only the owner interface would miss in-store advisors, scheduling, and dependencies on existing systems.

Executives were asked to define representative dealers, integration boundaries, and explicit thresholds for stopping or scaling based on service continuity, adoption, and cost. Their response: the pilot sample must cover both representative owners and dealers, with integration scope locked first, alongside firm thresholds for service, adoption, and cost. The system logged this input and maintained the time-boxed pilot direction, confirming the judgment held under executive scrutiny.

Building fully in-house immediately might establish differentiation faster, but would be far harder to reverse while the root cause of low adoption and true integration costs remain unproven. A time-boxed pilot would first validate demand, adoption, and dependencies, at the cost of a potentially narrower competitive window. This comparison is designed to show whether executive input changes the underlying judgment. Here it did not: executives chose the pilot path while explicitly preserving the reversal option.

The committed action: charter a time-boxed pilot spanning both owner and dealer journeys, with explicit stop, scale, and reverse thresholds tied to service continuity, adoption, integration cost, and dealer response. Owner experience, dealer operations, technology, and finance teams would jointly define the representative sample and integration boundaries before handoff to the committee for final approval. Minerva makes no claim that the later full redesign, MVP, or test results shown in the public case description have occurred as a result of this simulation.

This run used four model calls. The first decision-ready judgment was delivered in 18.093 seconds, and the complete result, including all cross-checks, finished in 25.722 seconds, passing the 30-second first-decision threshold and the 45-second complete-result threshold. All ten decision quality checks passed. This is product-evaluation evidence about Minerva's reasoning process on a single test case, not a claim about production-level service performance or real customer outcomes.