Unlocking the Secrets to Building AI That Navigates the Twists of a Shifting IP World
Edwards distinguishes demo-quality from production-grade AI and warns against allowing experimentation to move into operations without appropriate governance gates. She advocates for review processes scaled to the level of risk — matching controls to impact and data sensitivity — along with separate test environments and clear approval timelines so governance accelerates execution instead of slowing it down.
Drawing on the combined operational insights from Levy, Tulloch, and Edwards, the following workflow controls help translate policy into consistent daily behavior without adding friction:
