AI maturity is wildly uneven - even inside the same company. This panel compares approaches from “just getting started” to “embedded in daily workflows,” highlighting patterns that travel well: secure data access, clear decision rights, in-workflow nudges, and enablement that changes behavior, not just sentiment. Key takeaways: - How to choose first use cases that compound (not one-off demos) - Designing in-workflow guidance so reps don’t have to “go to the tool” - Governance and change-management guardrails that keep adoption on track