This is not a new demonstration format. It is the existing public-case validation process Minerva Advisor uses to test executive judgment. The material comes from an official public Altman Solon case study. We isolate the later-stage published answers, then reconstruct only what was knowable at the moment of decision into an educational data package. This video is an independent teaching simulation built on that public source. Altman Solon did not use, review, endorse, sponsor, certify, or commission this simulation, and it does not represent real correspondence or real client results.

A telecom provider wants to transform its digital customer experience to improve awareness, consideration, and digital sales all at once. The committee faces a choice: lock in a full three-year transformation budget right now, or first run a time-boxed, stoppable evidence gate on journey friction, performance baselines, and value causation, then decide how to sequence investment.

Every run leaves an auditable receipt. This one drew on one public source, identified four decision roles, separated six confirmed facts from two inferences and three open questions, compared two investment paths, and retained three alternative explanations plus one reversal condition. Each judgment traces back to a specific evidence identifier, so nothing in the recommendation floats free of its source.

What is known: the provider wants a vision, a three-year strategy, and a business case. What is unknown: baseline performance across the three journey stages, where drop-off actually occurs, how segments differ, and how product, price, brand, process, technology, and data quality each contribute. Minerva treats this gap as a warning against mistaking correlation for causation.

The strongest challenge: friction may come mainly from product or price rather than the digital journey itself, a narrow pilot could miss cross-journey dependencies, and cautious phasing can quietly become indefinite delay. The reversal condition is explicit: if no named owner, no minimum evidence bar, and no stop-or-scale conditions are set before the gate starts, the gate itself becomes the risk, and the recommendation flips toward a smaller, time-capped pilot commitment instead.

The official case later disclosed the segment and value-driver analysis, the credit-check friction diagnosis, the quantified three-year business case, funding targets, and first-wave results. All of that was deliberately withheld from this run. Minerva had no access to Altman Solon's actual diagnosis or solution, so its recommendation stands on pre-decision evidence alone, isolated from the published answer.

Three advisors cross-check the same judgment from different seats. Marcus frames the real question as when there is enough evidence to justify three-year funding. Sofia traces the consequences across digital experience, growth analytics, finance, and the investment committee. Evelyn presses on whether a pilot would miss the integration window. All three converge on the same answer: build the time-boxed evidence gate first.

The decision owner directs that the first wave must establish shared baselines across awareness, consideration, and sales, and that the competitive window itself should count as a reversal signal. Minerva logs this instruction as a response receipt and holds its direction: build the evidence gate first, with the owner's condition now attached to the record.

Locking in three-year funding immediately signals resolve, but it risks freezing flawed baselines, unproven root causes, and untested targets into a multi-year plan. The evidence gate surfaces friction and cross-journey dependencies first, at the cost of possibly missing the competitive window. After the executive's added condition, the underlying judgment does not change: the gate still comes first, now with an acceleration exit built in.

The committed action: charter a time-boxed evidence gate before any funding commitment. It must define journey scope, name an owner, set a minimum evidence bar, and specify stop-or-scale conditions. The growth analytics team establishes baselines across all three journeys and an initial drop-off diagnosis before the committee revisits the three-year commitment.

This run used four model calls. It delivered the first decision-ready judgment in 18.626 seconds and completed the full result, including all three advisor cross-checks, in 26.323 seconds, passing both the thirty-second first-decision threshold and the forty-five-second complete-result threshold. The case passed all ten out of ten decision-quality checks. This remains a single-case test run and does not represent production-environment service levels or real customer outcomes.