Why Agentic AI Dies in Pilot: A GTM Leader's Framework for Real ROI

About this session

Most go-to-market teams buy agentic AI before they have defined what it is supposed to fix. Industry research puts the failure rate of AI initiatives as high as 70 to 85 percent, and the reasons are almost never technical. This session hands revenue and marketing leaders the foundation that separates the projects that pay off from the ones that quietly die in pilot: a business target your board will fund, an honest map of where the buyer journey leaks revenue today, and a method for matching agentic capability to the moments that actually move the number. You will leave with the OAR framework used to take a GTM org from "we bought some tools" to measurable return, drawn from the same playbook behind 100 Superhumans running live across 70+ brands.What you will leave with:1) A way to set an agentic AI target your board will actually fund, tied to revenue, cost, or risk, with a deadline attached.2) The OAR model for sorting use cases into Optimize, Amplify, and Reinvent, so you start where the payoff comes fastest.3) A pilot-to-scale sequence that dodges the three reasons initiatives fail: tech-first thinking, messy data, and no change management.4) A candid read on the metrics that shift once agentic AI works, including why fewer meetings can mean more pipeline.