A practical guide to shadow AI covering what it is, how to discover it, the real risks it creates, and how to govern it without driving use underground.
A practical executive guide to measuring AI ROI using adoption, output quality, time saved, cost efficiency, and return on compute or workflow redesign.
A practical framework for building an AI governance policy: data classification instead of tool lists, review requirements, governance roles, and how to roll it out without it becoming shelfware.
