CHAPTER 9Case Studies: Failures and Fixes
Long before AI agents entered enterprise workflows, organizations were already confronting the governance challenges created by delegating authority to automated systems. The Boeing 737 MAX provides a clear example. The aircraft's Maneuvering Characteristics Augmentation System (MCAS) was given authority to adjust flight controls automatically to compensate for aerodynamic changes. The system operated within its intended design assumptions. The governance assumptions surrounding it did not hold. The consequences were catastrophic as pilots struggled to override automated corrections under deteriorating conditions.
MCAS relied on limited sensor inputs, operated with incomplete pilot visibility, and depended on intervention mechanisms that proved difficult to execute under stress. When failures occurred, the problem was not simply technical malfunction. Authority had been delegated without sufficient observability, redundancy, or practical override design to remain governable under stress. The lesson extends beyond aviation: When organizations delegate meaningful authority to automated systems, the central risk is rarely automation alone. It is whether the organization retains the ability to observe, intervene, and adapt as delegated authority is exercised.
A governance framework remains theory until it is tested against incidents like these. In the agentic era, breakdowns rarely arrive as dramatic breaches or singular catastrophic errors. ...
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