It’s official. AI is here, it’s loud, and it’s already rewriting the rules of go-to-market strategy with AI-sourced tools and platforms. But here’s the kicker: most companies still struggle to know how to operationalize them.
- How is AI changing enablement?
- What AI enablement use cases are delivering quantifiable benefits? (AI Role Play – efficiency, effectiveness)
- What are some suggestions for companies that haven’t yet started applying AI to their enablement?
- How can people see AI role-play in action?
- How do we bridge AI with Sales Enablement and Revenue Ops?
At the recent RevOps Co-op San Francisco event, piled high with delicious Mexican fare and hosted by founder Matthew Volm, GTM and RevOps thought leaders Pete Shelton, Chief Revenue Officer at Fullcast, Dylan Ferguson, Senior Director of Sales at Fullcast, and Elay Cohen, CEO at Saleshood, addressed some of these questions surrounding AI implementation for go to market.
These RevOps leaders aren’t just talking about AI—they’re living it by testing the limits of innovative AI-supported GTM strategies, and continuously experimenting with tech stack optimization to create a powerful AI-sourced revenue-driving machine.
The overall message for all the operators in attendance was to think about AI as a means to “do more with less” but “don’t burn out your team in the process.” In the end, guests walked away knowing how to spot the difference between enterprise-grade AI and glorified automation fluff, leverage the do’s, don’ts, and downright WTFs of adoption, and walk away with strategies to keep the human element alive while scaling like never before.
Do you have questions about the most effective ways you are seeing AI impact sales and sales performance? We have the answers.
