Research, frameworks, and field notes from the forefront of enterprise AI adoption. Written by practitioners, for practitioners.
AI readiness evolves from fragmented tests to adaptive systems. Teams must balance six capability dimensions. True readiness builds reliable processes.
AI agent governance must control end-to-end actions and enforce least-privilege tool execution rather than evaluating final outputs alone.
This policy sets the minimum controls for any AI agent used to forecast, recommend, or execute supply chain decisions. Transparency and accountability matter, but supply chain-specific governance is still underdeveloped, and AI can drift into noncompliance without company-level data governance.
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