Google Cloud Consulting assists companies in integrating AI into daily operations, observing a shift from generative AI to agentic systems that autonomously complete tasks. While technical resources are important, successful enterprise adoption of AI agents requires intentional cultural change. Employees must feel empowered to experiment, and leaders should clarify AI's impact on roles. The team offers five practical lessons for guiding this agentic shift. First, redesign workflows to be agent-executed and human-directed, moving from human-in-the-loop validation to a human-in-the-lead model. This involves agents handling parallel dependencies and routing only ambiguous scenarios to humans. Second, address employee hesitation by fostering ownership, treating agents like junior team members requiring active delegation and clear responsibilities. Third, effectively manage hybrid teams of people and agents by focusing on results, reinforcing desired behaviors, and coaching teams to leverage agents for creative work. Fourth, build agentic literacy through experimentation, providing safe learning zones and celebrating "intelligent failures" to deepen understanding. Finally, govern agents with a hub-and-spoke model, establishing central guidelines while allowing individual teams to adapt tools and experiment. This people-first approach aims to create an organization where human ingenuity and agents mutually amplify each other.