Enterprises struggle with generative AI adoption because developers face setup issues and return to their regular tasks, preventing successful implementation. Traditional enablement methods like week-long bootcamps are ineffective given developers' limited learning time. Google Cloud Consulting advocates for a four-pillar approach to AI enablement, focusing on quick, daily practice. This involves breaking down learning into short, single-skill objectives instead of lengthy training sessions. Pre-configured browser-based sandboxes eliminate setup hurdles, allowing immediate coding. Incorporating daily streaks and team challenges transforms practice into a routine workday activity. Each exercise should result in a functional component, cumulatively building a shared code library. The Advent of Agents program demonstrated this by offering daily, five-minute, browser-based exercises without setup, leading to significant developer participation and successful agent component creation. This data suggests developers will engage with learning when it fits their existing schedules, provided setup and scheduling barriers are removed. Effective AI enablement requires consistent practice and tools that integrate with regular work, not disrupt it. Google Cloud offers "Build with Gemini" workshops and the "Gemini Enterprise Agent Ready" (GEAR) program to facilitate this micro-enablement. By starting small with daily habits and ready-to-use tools, organizations can effectively build AI capabilities.