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How Should Accountability Be Assigned When AI Agents Make Wrong Decisions?
As organizations are now moving from advisory chatbots to autonomous AI Agents in core business operations, the cost of poor execution is becoming harder to ignore. A report highlights that only 30% o
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Evelyn Wyatt
Building AI Systems That Actually Work in Production
The point about “permission creep” is especially important. An agent may be properly scoped when it is first deployed, but once new tools, data sources, and workflows are added, the original accountability model can become outdated. I think periodic permission reviews should be treated almost like security reviews, especially for agents that can take irreversible actions.