The governance team looked great on paper. A representative from IT. One from Legal. One from Finance. Data Science. Operations. HR. A six-person cross-functional team chartered to oversee AI governance. After three months, the CEO asked for a progress update. The team had met eight times. They’d produced a stakeholder map, a responsibility matrix, and…
A $400M logistics company asked me to review their AI governance. They had a 47-page governance policy. Board-approved AI principles. A risk classification matrix. Ethics guidelines. Compliance mapping. Beautiful documents. Sitting in SharePoint. Untouched since approval. When I asked how an AI initiative actually moves from pilot to production, the answer was: “It depends on…
The AI model was brilliant. A retail company built a demand forecasting system that predicted inventory needs with 91% accuracy in testing. The business case showed $2.3M in annual savings from reduced overstock and stockouts. Six weeks into production, the model started recommending bizarre reorders. Winter coats in July. Seasonal items months early. Safety stock…
Eight executives. One AI governance proposal. Three hours of debate. The CTO wanted security-first. The CDO wanted data quality foundations. The CMO wanted customer-facing AI immediately. The CISO flagged compliance gaps. The COO wanted operational AI. The CFO questioned the entire budget. Legal wanted to pause until regulations clarified. HR raised workforce readiness concerns. Every…
The CFO looked at the proposal and asked one question. “You want $235,000 for AI governance. What’s the return?” The AI team paused. They had slides on framework design, maturity models, and compliance alignment. They had a 30-page implementation plan. They had benchmarks from industry research. What they didn’t have: a number. The CFO’s response:…
The email landed on a Tuesday morning. Legal had reviewed the AI deployment proposal for the customer service chatbot. Their response: a 14-page risk assessment identifying 23 potential compliance issues, 8 regulatory gaps, and a recommendation to “pause deployment until all identified risks are mitigated.” The AI team’s reaction: “Legal just killed our project.” Legal’s…
The board meeting was tense. The CEO had just returned from a conference where every keynote featured AI transformation stories. Competitors were announcing AI-driven products. Investors were asking about AI strategy in every earnings call. The board’s directive was clear: “We need AI results. This quarter.” The CTO’s response was equally clear: “We’re not ready….
A $300M manufacturing company needed AI governance. Their first call was to a Big 4 firm. The proposal came back: $1.4M over 18 months. A team of 12 consultants. A 200-page governance framework. Quarterly steering committee reviews. A dependency model that would require ongoing advisory at $400K annually. The CEO’s reaction: “We need governance, not…
The CTO owns the technology roadmap. The CDO owns data strategy. The CIO owns infrastructure. The CISO owns security. Legal owns compliance. The COO owns operations. The CFO controls the budget. Ask any of them: “Who owns getting AI into production?” They’ll all say: “We do.” That’s the problem. A healthcare company had an AI…
