Enterprise AI governance ties controls to workflow design
A report or analysis from SiliconANGLE examines how enterprise AI governance is moving toward embedding controls directly into workflow design, rather than treating oversight as a separate layer added after systems are built.
Why this matters: This matters because bolted-on rules tend to fail. If AI controls live outside the actual workflow, they are easy to skip, easy to miss, and hard to enforce when something goes wrong. Building governance into the workflow itself means the boundaries travel with the tool. It also means the people designing workflows carry real responsibility for outcomes, not just the compliance team writing policies nobody reads.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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