Most AI governance failures are not technology failures. They are accountability failures.
Eight problems. One suite. The instruments, tools, and engagement path operating executives and PE-backed companies need to answer the board, survive diligence, meet a regulatory deadline, and build a governance posture that holds.
Concrete outputs: not reading material
Eight governance problems AI-exposed companies must solve before the board, regulator, insurer, or buyer asks
“We’re spending on AI but can’t defend the returns, and the board is starting to ask.”
Seventy percent of CPG manufacturers surveyed report current AI ROI under 20%, and 28% report 5% or less. (Schneider Electric, 2026 Industrial AI in CPG Survey, 1,453 food and beverage and life sciences executives, March 2026)
“AI is already running inside our operations, and nobody knows where, or what it’s deciding.”
Gartner forecasts that 40% of enterprise applications will include task-specific AI agents by the end of 2026, up from less than 5% in 2025. (Gartner, August 2025)
“When something goes wrong with AI, nobody on our leadership team can answer: who owned that decision?”
“EU AI Act obligations started applying on August 2, 2026, and we don’t know if our manufacturing AI is compliant, or even what to classify.”
Fines under the Act reach €35 million or 7% of worldwide turnover for prohibited practices. Breaches of most other obligations, including those for high-risk systems, carry up to €15 million or 3%. (EU AI Act, Article 99)
“PE buyers are walking into diligence and finding undocumented AI, and it’s starting to affect valuations and deal close.”
See what a buyer tests in AI due diligence, with a worked pre-exit example →
“We have AI initiatives competing for budget and no objective way to choose which ones to fund.”
“We know we need an AI and data strategy, but our leadership team can’t agree on where to start, or what good looks like.”
“Our board keeps asking about AI, and we cannot give them a clear, credible answer about where we stand or what we’re doing about it.”
Seventy percent of Fortune 500 leaders surveyed say their companies have AI risk committees, and 14% say they are fully ready for AI deployment. (Sedgwick 2026 forecasting report, 300 Fortune 500 leaders, December 2025)
When the instruments surface something too large to handle internally
If the governance work reveals accountability gaps, diligence exposure, or regulatory risk that requires direct advisory support, a confidential conversation is available: one person, personally accountable, with operating experience in the environments you are navigating.