AI governance processes are typically designed to approve a defined use case. An agent is proposed for a particular purpose. Its access is reviewed, its risks are assessed, and the business agrees the conditions under which it can be used. The difficulty is that this will rarely be the agent that exists six or twelve months from now. Once an agent is in the operation, people improve it. They add skills, connect new systems, widen its access to business data, refine its instru
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