Computing programs increasingly need to prepare graduates who can apply AI in context, not just write software. We present a transferable model for an undergraduate B.S. in Applied AI that treats application domains (e.g., Business, Life Sciences) as co-equal with a rigorous AI technical core. To widen participation while maintaining depth, we replace the traditional calculus sequence with a tailored ``Mathematics for AI'' track. The 120-credit curriculum is anchored by a technical AI core, required co-operative education, and a culminating one-semester senior design project, with ethics explicitly threaded throughout. For the SIGCSE community, our contribution is a pragmatic blueprint for institutions that aim to broaden participation and produce integrated AI practitioners. We share our domain-based curriculum, course maps, learning outcomes, and launch domains co-developed with partner schools, with institutional adoption planned for Fall 2026.