B2B digital commerce leaders are moving from AI experimentation to execution, but many lack a disciplined method for determining which AI use cases deserve sustained investment and how to scale them. This report introduces a best‑practice decision framework to help leaders compare, prioritize, and sequence AI initiatives using consistent criteria for value, readiness, scalability, risk, and ownership. This framework is designed to remain relevant as AI capabilities evolve and can apply to established and emerging use cases in digital commerce. The guidance shows how to move from pilots to production through explicit trade‑offs, stage‑gated decisions, and governance.