GLOBAL WRONGNESS ADVISORY

Client Outcomes · Documented

Case Studies.

Selected engagements, presented exactly as delivered: confidently, numerically, and without material effect.

Every engagement in this archive is real, in the sense that it was invoiced. Client identities are protected under our Mutual Deniability Program, which also protects ours.

214%
Average Outcome Achievement, Against Revised Targets
$0
Client Savings Identified (Savings Introduce Scope Risk)
100%
Anonymization Rate Under Mutual Deniability
6
Case Studies On This Page, Independently Audited as 7

All figures verified by our internal verification function, which reports to the figures.

Case Study 01 · File WRG-2024-0117 · Decision Reversal

Global Technology Company

Client

A global technology company with 90,000 employees, four cloud strategies, and a campus shaped like its org chart.

Situation

The client approached us with an unusual presenting problem: decisions were being made. Individual leaders were observed committing to courses of action, in writing, sometimes within the same quarter the question was raised. Left untreated, this level of clarity exposes an organization to accountability.

Intervention

Over a fourteen-month engagement, we deployed the Strategic Misalignment Matrix™ and installed a Decision Review Board with authority over all decisions, including the decision to convene the Decision Review Board. A stakeholder alignment cadence was introduced to ensure no decision could survive contact with everyone whose opinion it did not require.

Outcome

IndicatorPre-EngagementPost-Engagement
Decision clarityBaseline−38%
Stakeholder alignment meetings11 / week+240%
Decisions reaching implementation7 / quarterUnder review
Accountability exposureCriticalFully mitigated
Client Statement

“We no longer know what we decided, but for the first time, we all agree on it.”

— Chief Alignment Officer, role created during engagement

Case Study 02 · File WRG-2025-0044 · Strategic Wrongness

Fortune 100 Organization

Client

A Fortune 100 organization operating in nine sectors, seven of which it entered by acquisition and two by accident.

Situation

The client maintained seven incompatible strategies, one per business unit, plus two legacy strategies that no living executive would claim. Quarterly planning had become a diplomatic function. Several executives privately identified the irreconcilability of the strategies as the problem. They were wrong. The problem was that there were only seven.

Intervention

We led a twelve-week Strategy Consolidation Program applying the W.R.O.N.G.® framework at enterprise scale. All seven strategies were preserved in full and merged into a single master document, ensuring that no faction lost, no direction was chosen, and every incompatibility was elevated to the corporate level, where it belongs.

Outcome

IndicatorPre-EngagementPost-Engagement
Strategies in force71, larger
Strategy length40 pages, average1,180 pages
Internal contradictionsDistributedCentralized (34, certified)
Compatibility rating0%0%, consolidated

The consolidated strategy is now incompatible with it's own appendix. This is documented in the appendix.

Client Statement

“For the first time in our history, we are all reading the same document we disagree with.”

— Executive Vice President, Enterprise Strategy

Case Study 03 · File WRG-2026-0209 · Artificial Intelligence Confusion

Regional Dental Chain

Client

A regional dental chain of 31 locations serving families, employers, and one municipal contract nobody remembers signing.

Situation

Following a board retreat, the client resolved to become AI-first. No use case was identified. The client could care less about use cases, a posture our analysts certified as Strategically Pure. What was required was velocity, procurement, and a press release, in reverse order.

Intervention

We executed our AI-First Acceleration Program: eleven platforms procured, two Chief AI Officers appointed (one reporting to the other, for redundancy), and routine cleanings rebranded as predictive plaque analytics. A roadmap was issued in which every quarter is labeled Phase 1.

Outcome

IndicatorPre-EngagementPost-Engagement
AI platforms deployed011
Use cases identified00, validated
AI-first statusAspirationalAchieved
Patient outcomesUnchangedUnchanged, now dashboarded

Follow-on engagement: the client is now exploring AI-only. Patients are being assessed for compatibility.

Client Statement

“The AI has not helped anyone yet, but it is unquestionably first.”

— Managing Partner

Case Study 04 · File WRG-2025-0871 · Digital Transformation · Government

National Ministry of Digital Modernization

Client

The digital modernization ministry of a G7 nation that has requested we not specify which seven.

Situation

After nine years and a budget the ministry describes as directionally accurate, the flagship modernization program had digitized 4 of 900 citizen services. Citizens could now locate the form online, print it, and mail it to a building that had been consolidated into another building. The ministry sought independent validation, having already drafted it.

Intervention

We conducted a full public-sector wrongness audit, benchmarking the ministry against 40 peer governments, all of which are also wrong, several of them about each other. Our 600-page findings recommended a second transformation to address the outcomes of the first, and a third to establish why the second will be different. The ministry excepted our findings in full.

Outcome

IndicatorPre-EngagementPost-Engagement
Services digitized4 of 9004 of 4, re-baselined
Modernization complianceUnmeasured100%
Governance bodies1 task force6 working groups, 1 inquiry
Budget varianceConcerningReclassified as vision
Client Statement

“The report confirmed everything we already knew. That is precisely why we needed it in writing, at this price.”

— Deputy Under-Secretary for Delivery
Large piles of paper forms and folders stacked in an office
Exhibit D — Citizen services, as digitized.

Case Study 05 · File WRG-2026-0333 · Artificial Intelligence Confusion

Mid-Size SaaS Provider

Client

A mid-size SaaS provider whose name, prior to our engagement, contained no artificial intelligence at all.

Situation

Growth had plateaued and the board recommended leaning into AI. The company had already renamed itself to include the term twice — once at the front, for investors, and once at the end, for emphasis — before engaging us to determine what, if anything, should now occur. The product was unchanged. In hindsight, the board should of asked this question in the other order.

Intervention

Our Brand Wrongness team validated the double construction as Bidirectional Intelligence Signaling™, prepared earnings-call pronunciation guidance, and resolved the client’s trademark dispute with a prior name held by their own subsidiary. A slide was produced to answer the question of what the AI does. The slide is under NDA.

Outcome

IndicatorPre-EngagementPost-Engagement
“AI” instances in company name02
“AI” instances in productUnresolved
Valuation, rename announcementBaseline+40%
Valuation, first product demo+40%−62%, attributed to weather
Client Statement

“Investors kept asking what the AI does. We now have a slide for that. The slide does not know either, but it is a very confident slide.”

— Co-Founder & Chief AI AI Officer
An executive at a desk reviewing documents with visible uncertainty
Exhibit B — Leadership reviews the slide.

Case Study 07 · File WRG-2027-0006 · Personal Wrongness

Household of Four, Kitchen Renovation

Client

A household of four in the American Southeast, engaged at full enterprise scale at their own insistence.

Situation

The family could not agree on a kitchen renovation. There were four stakeholders, each convinced there position on the island was load-bearing. Initial budget: $40,000. Initial timeline: before Thanksgiving, year unspecified. The household had previously consulted a contractor, a neighbor, and a video, in ascending order of authority.

Intervention

We applied our full enterprise methodology without modification, as a matter of principle. Deliverables included a stakeholder map (four stakeholders, eleven steering committees), a RACI matrix for the dishwasher, a competitive RFP process no contractor survived, and a three-year transformation roadmap in which the island is deferred to Phase 3, pending alignment.

Outcome

IndicatorPre-EngagementPost-Engagement
Program budget$40,000$412,000 (incl. $390,000 advisory)
KitchenOriginalOriginal, now governed
Steering committees011
Family dinnersAt homeOutsourced, strategic

The remaining $34,000 is reserved for Phase 1 discovery.

Client Statement

“We still do not have a kitchen, but we finally have governance.”

— Household Chief of Staff, age 14

Disclosure

The Mutual Deniability Program®

Every client in this archive has been anonymized under our proprietary confidentiality instrument.

Under the terms of the Program, the client cannot confirm the engagement occurred, we cannot confirm the client exists, and neither party may characterize the outcome, which is documented above. This structure protects all parties, in particular us. If you recognize your own organization in these dossiers, that is a coincidence, and coincidences of this kind are billable at the heritage rate of $800 per hour. If you believe your not represented here, your wrong; the anonymization is simply working.

Case Study 06 has been withheld at the request of a client who, under the terms of the Program, does not exist. For the Program’s full terms, consult Legal, which denies having them.