Monthly Archives: April 2026

In Practice: AI in the Enterprise | Day 16: Governance by Committee vs. Governance by Design: Why Your AIOC Might Be Theater April 16, 2026

In Practice: AI in the Enterprise | Day 15: Strategic Independence in Your AI Stack: What It Actually Requires April 15, 2026

In Practice: AI in the Enterprise | Day 14: The AI Adoption Curve Nobody Talks About: Why Your Best Tools Get Abandoned April 14, 2026

In Practice: AI in the Enterprise | Day 13: Why Your AI Project Budget Blew Up (And How to Prevent It in the Next One) April 13, 2026

In Practice: AI in the Enterprise | Day 12: The Hiring Mistake That Sinks AI Programs: You’re Looking for Unicorns April 10, 2026

In Practice: AI in the Enterprise | Day 11: The Foundation Model Dependency Trap (And Why It Matters More Than You Think) April 9, 2026

In Practice: AI in the Enterprise | Day 10: Why “Monitoring” Your AI Means Something Different Than Monitoring Your Databases April 8, 2026

In Practice: AI in the Enterprise | Day 9: The One Document Your Legal Team Should Demand Before Any AI Goes Live April 7, 2026

In Practice: AI in the Enterprise | Day 8: The Bank That Realized (Too Late) Their AI System Was Making $2M Mistakes in Production April 6, 2026

In Practice: AI in the Enterprise | Day 7: You’re Measuring AI Success Wrong, and Here’s the Cost April 3, 2026