Organisations that have successfully deployed AI still struggle to demonstrate enterprise impact. The reason is that AI value is constrained not by the workflow itself. It is constrained by the operating decisions surrounding it. Questions of ownership, quality management, performance measurement, accountability and workforce design ultimately determine whether AI-generated outputs translate into measurable enterprise outcomes. Take any AI-enabled workflow and ask whether the
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