by ged4332 | Apr 17, 2026
Your organization has deployed AI. The pilot reports are positive. The productivity metrics are improving. And the income statement shows nothing. This is not an isolated experience. According to the MIT GenAI Divide Report, 95% of enterprise GenAI pilots deliver zero...
by ged4332 | Apr 16, 2026
By Glenn E. Daniels II | Touch Stone Publishers | April 6, 2026 The enterprise AI governance conversation has a structural flaw at its center. Boards commission governance frameworks. Legal teams produce AI use policies. Risk committees conduct annual AI audits....
by ged4332 | Apr 16, 2026
By Glenn E. Daniels II | Touch Stone Publishers | April 6, 2026 The enterprise AI governance conversation has a structural flaw at its center. Boards commission governance frameworks. Legal teams produce AI use policies. Risk committees conduct annual AI audits....
by ged4332 | Apr 16, 2026
The Policy Illusion: Why Behavioral AI Governance Fails at the Architecture Level: What Boards Must Demand Instead By Glenn E. Daniels II | Touch Stone Publishers | April 6, 2026 The enterprise AI governance conversation has a structural flaw at its center. Boards...
by ged4332 | Apr 14, 2026
Agentic AI systems — those that do not merely recommend but act — are now in production at Fortune 500 companies. They are negotiating vendor terms, executing trades, adjusting pricing, and making hiring decisions. The legal and governance community has been slow to...
by ged4332 | Apr 12, 2026
95% of enterprise AI pilots fail to deliver P&L impact. The cause is not technical. Boards are manufacturing the failure by design. By Glenn E. Daniels II | Touch Stone Publishers Here is the defining paradox of the enterprise AI era: 88% of large organizations...
