The rapid evolution of artificial intelligence in education has created opportunities and challenges for higher education institutions. This paper chronicles developing and implementing a faculty center for AI in education, offering insights for institutions considering similar initiatives. We explore essential components of building an effective AI support center, examining critical strategic decisions in establishing governance structures, faculty engagement approaches, and professional development frameworks. The paper addresses implementation challenges, including managing faculty concerns, establishing AI use guidelines, and creating sustainable support systems. We discuss successful strategies for building faculty confidence in AI tools and fostering communities of practice around AI innovation. Focus areas include creating effective governance structures, developing targeted professional development, establishing discipline-specific best practices, building collaborative networks, and measuring impact. These insights provide actionable strategies for institutions at various stages of AI adoption, from those beginning to explore AI integration to those enhancing existing programs.