Most organizations invest heavily in sales training, but practice is spread across disconnected tools, guided by inconsistent coaching and with limited visibility into rep readiness. Structured practice is hard to run, hard to repeat and hard to assess. The result is uneven execution in discovery, messaging and objections across the team.

This gap creates uneven messaging, slower ramp and lost revenue.

Trainers can replace one-off role-plays with a practice environment where reps can rehearse high-stakes conversations safely and frequently, while getting a clear view into where coaching is needed most.

In this session, attendees will learn:

• How to add continuous, on-demand practice that reps want to use
• How artificial intelligence (AI) simulations provide immediate, more objective feedback to support consistent coaching across large sales teams
• A practical roadmap to unify practice, feedback and data on sales readiness

View full agenda.

Speaker

William Rintz, Global Program Director, AI Solutions, UMU William brings deep expertise in AI-driven learning and talent development. He is also an experienced public speaker who has presented at international conferences and executive forums. William Rintz is a specialist in AI-driven talent strategy, with a focus on bridging the gap between enterprise AI adoption and workforce development. Holding a master’s degree in educational studies, he leads global initiatives at UMU, where he helps organizations unlock the full potential of their people through AI-powered learning. As a lecturer for UMU’s AI Talent courses, William combines practical frameworks with the latest research to equip leaders with the tools needed to build AI-ready workforces. His work sits at the intersection of learning science, digital transformation, and performance enablement.