Learn How AI Actually Works for Revenue Teams

What you'll learn:

• Why most AI tools fail - and the one thing that actually determines whether they work
• How Red Hat's team went from fragmented, manual forecasting to a single view across 2,000 sellers
• What "complete data" actually means and how to know if you have it
• How to coach your team using real deal activity - not rep self-reporting
• What to bring back to your leadership team on Monday morning

The problem we're talking about:

Most AI tools are working with incomplete data. They fill in the gaps with guesswork - which means your commit calls are still a coin flip and your "champions" haven't moved a deal in months.

This session is about why that happens and what it actually takes to fix it.

No spin. No demo. No vendor talking points. Sales leader Richard Harris sits down with Jamie Craig Gainey from Red Hat - a team that went from scattered CRM data and manual forecasting to a 50%+ increase in win rates - for an honest conversation about what's working and what's not.

Who should attend:

• CROs and VP Sales - Understand why your AI investment isn't moving the needle yet, and what your data foundation needs to look like before it will.
• RevOps and Sales Ops Directors - Learn how teams like Red Hat's automated activity capture across 2,000 sellers, and what that made possible downstream in forecasting and coaching.
• Sales Managers - Because your next performance review will include a question about AI. You need to know what actually drives results so you can lead your team through it.

Register now. One hour. Real answers. Possibly the most useful thing on your calendar this month.