This is not a new demonstration format. It follows our established public-case verification process. The source is Huron's official public case study. We isolate the later-stage outcome first, then reconstruct only what was knowable at the moment of decision into a training data package. Minerva Advisor completed one paid live run, and this video is a verified replay of an actual Decision Room session. It does not represent Huron endorsement, sponsorship, review, or certification, and it does not reflect real client outcomes. This is an independent teaching simulation based on an official public source, not real correspondence.

The case begins with a midstream energy and infrastructure company acquired by a private equity firm in 2019. Its accounting, finance, and operations technology were scattered across dozens of fragmented systems, forcing staff to repeatedly duplicate, search for, move, recalculate, and reconcile data. The company wanted more automation, better data visibility, and lower costs, and the major transformation project had to be completed in under 24 months. Minerva compares locking in a single enterprise platform immediately, to gain speed, against running a short-term, non-extendable evidence gate first to reduce lock-in risk.

This live run leaves a five-item work receipt. It anchors on one source, identifies four personas, separates facts from inferences and unknowns, maps the key events in sequence, and compares two competing paths, while preserving three alternative explanations and one reversal condition. Executives can verify how the system weighed timeline pressure and platform lock-in risk at the same time.

Known factors include the fragmented systems, the manual rework, the automation and visibility goals, and the twenty-four-month deadline. What remains unknown is whether the rework stems from the platform itself, from process design, from data definitions, from controls, or from organizational accountability. Candidate platform fit, migration disruption, and total cost of ownership are also unknown at this point. Minerva did not treat switching platforms as a predetermined answer.

The system preserves the strongest counterargument against its own recommendation. If the deadline is already extremely tight, investigating root causes first could compress the time left for implementation. Ongoing manual rework may also be causing real daily losses, and the risk team's caution could simply reflect general risk aversion rather than evidence. The reversal condition is explicit: if evidence shows the rework stems primarily from platform capability gaps and a candidate solution is clearly validated within the time box, the recommendation flips to immediate lock-in.

Huron's later-stage published answer was deliberately held out. The selection of the Oracle cloud platform, the 130 current-state workshops, the ten-year total cost of ownership and return-on-investment model, the multi-year roadmap, and the eventual implementation and results were all excluded from the input. Minerva did not see the official answer before forming its judgment.

Three advisors cross-check this one judgment. Marcus frames the real decision as avoiding a wrong lock-in within twenty-four months. Sofia simulates the consequences for finance, operations, architecture, and the steering committee. Evelyn challenges the opportunity cost of running an evidence gate at all. All three converge on a time-boxed, stoppable approach to validate root cause and vendor fit before committing.

Evelyn adds a caution: without a minimum comparison baseline, a fixed deadline, and a named accountable owner, the evidence gate risks recreating the original ambiguity while quietly eating into the twenty-four-month timeline. The executive responds with one condition: set a fixed deadline for the gate, first separate platform, process, data, and accountability root causes, validate candidate platform fit in parallel, and if no credible conclusion is reached by the deadline, escalate to the steering committee for a final call. The system records this as a response receipt; the original judgment stands unchanged.

Immediate platform lock-in preserves more implementation time, but it risks embedding unvalidated process and data assumptions into a multi-year commitment. The short-term evidence gate reduces the risk of getting the root cause or the vendor fit wrong, at the cost of consuming part of the available timeline. Minerva shows executives exactly how their own input changes, or fails to change, the underlying judgment.

The executive selects the evidence-gate path, but refuses to let it run indefinitely. The steering committee approves the timeline, scope, stop conditions, and accountable owners for a short-term, non-extendable evidence gate, and the architecture, finance, and operations teams take on identifying root cause and candidate platform fit. Minerva does not claim that a platform has been selected or that any transformation outcome has occurred.

This Huron case passed all ten decision-quality checks. In the actual English run, the Decision Room used four model calls, delivered its first decision in 16.592 seconds, and completed the full cross-checked result in 24.806 seconds, passing both the thirty-second first-decision threshold and the forty-five-second complete-result threshold. Decision quality, executive experience, and performance status all passed. This remains a single-case test and does not represent production-level service standards or real client outcomes.