Governing the bowtie with AI: How CROs can drive precision and efficiency

AI is running plays across every stage of the Bowtie, from pipeline creation to expansion. But most revenue teams haven't answered the harder question: who's accountable when the AI gets it wrong?

This session covers what governance looks like across the full customer lifecycle. Who owns the data model, how to set the rules AI operates within, and how to stay in control of decisions when the machine is moving faster than the forecast call.

You'll leave with a framework for governing AI across acquisition, retention, and expansion so your GTM runs on facts, not gut feel.

What you'll take away:

• A clear ownership model for AI decisions across every Bowtie stage
• The stage where governance breaks down first, and what to do about it
• A GTM data model AI can actually trust