Monitoring systemic drift may guide the next phase of organizational resilience
Artificial intelligence seems to be creating increasingly interconnected enterprise ecosystems, expanding the complexity of how organizations govern technology across their operations. As AI becomes more deeply embedded in critical workflows, maintaining visibility into system dependencies appears to emerge as a significant leadership consideration. According to an AI sovereignty study, 91% of surveyed executives said they do not fully understand their organizations’ AI dependencies. Meanwhile, respondents also reported an average of six AI-related disruptions over the previous two years. Together, these findings suggest that governance practices may need to evolve alongside AI itself.
Jeffrey Rachlin and his partner Andy Hyman have observed a similar pattern across complex environments. In their experience, many organizations continue to investigate failures after visible disruption has already occurred. As AI systems assume greater autonomyacross business processes, retrospective analysis may offer only part of the picture, creating an opportunity to consider governance methods that...
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