§ 06 — Insights · Tag
Governance & Provenance
5 articles filed under Governance & Provenance.
- § 01When the Vendor Disappears: Model Continuity After an AI Provider FailsEnterprises believe they purchased AI products. Many purchased temporary access to undocumented vendor behavior. When the vendor shuts down, they discover they do not possess the system they thought they owned.August 4, 2026 · 8 min
- § 02The Slopification Crash: How Rushed Deployment and Usage-Based Pricing Broke the Numerator and the DenominatorMIT says 95 percent of generative AI initiatives returned nothing. Deloitte says only 10 percent of organizations saw significant returns on agentic AI. The crash was not a model failure. It was a governance failure, compounded by consumption pricing, over a portfolio no one kept records on.July 28, 2026 · 9 min
- § 03Impair, Terminate, or Restructure? A Framework for Distressed AI InvestmentsOnce the AI record has been reconstructed, six workout dispositions are available. The choice is dictated by what the evidence can actually support — not by the sponsor's preferred outcome.July 21, 2026 · 6 min
- § 04When the Model Changes and No One Documents It: The Provenance ProblemAI systems in production are not the systems that were approved. Vendors deprecate models, swap defaults, and revise prompts on their own schedule. Without a provenance record, the asset cannot be valued or unwound.July 17, 2026 · 7 min
- § 05Shadow AI Spend: The Cloud, License, and Labor Costs No One ReconciledApproved AI initiatives are only the visible fraction of enterprise AI expenditure. The unallocated portion — cloud, seat licenses, embedded features, and human rework — often exceeds it.July 14, 2026 · 6 min
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