Moving AI into production requires clarity on what AI is allowed to do and who is accountable for the outcome. In Part 2 of our two-part series, Luise Freese returns to walk through how organizations can design AI agents with clear boundaries, embed governance directly into delivery, and build the operating model needed to scale. She also shares her 90-day approach for turning an early-stage proof-of-concept into a repeatable, production-ready capability.

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