Turn AI from buzzword to org design. In this session, you learn how to refactor your go to market organization for RevOps and AIOps so automation handles repeatable work while your team focuses on high judgment tasks. 

You see why CAC is rising, growth is harder, and why many AI companies do not have classic software margins, which changes how you should model ROI and prioritize investments. 

Get a simple blueprint for data readiness, including enrichment, clean pipelines, and a GTM engineer role that connects tools and workflows. You also learn a practical “human in the loop” approach for pilots that make it into production, where AI drafts and routes while managers and reps provide the final review. 

• How to redesign roles and rhythms so RevOps and AIOps own the automation layer, a GTM engineer connects systems, and managers direct human attention to coaching, strategy, and complex deals.
• Build AI on a strong data foundation by cleaning and enriching core records, defining defensible ICP rules, and moving pilots into production with a human in the loop so quality stays high.
• Lead with financial and organizational clarity by modeling unit economics beyond vanity benchmarks, prioritizing programs that improve payback and margin, and aligning Product, Marketing, Sales, and Success on shared metrics and handoffs.