Beyond the Chatbot: A Framework for Finding Where AI Pays Off

Ask most business leaders where AI is working inside their organization and they'll point to a chatbot. Walmart, Amazon, and Albertsons have proven that model works — but customer-facing chat has also become the most crowded, commoditized category in AI, and most companies default to it not because it's the highest-return option, but because it's the most obvious one. This session argues the opposite of what gets funded first: the AI use cases with the biggest financial and operational return are usually the ones that you need to dig a layer deeper to find. Using Elastic Path’s own AI-based software implementation as a working example, the company's CEO Bryan House walks through how to choose the highest impact AI application for your business — and introduces a framework attendees can use immediately to score their own use cases and build a prioritized list of where to invest next. This session is built for the people making AI investment decisions — digital strategy leads, product owners, and operators — who want a repeatable method for separating flashy from valuable. Come with two or three AI use cases you're weighing; you'll leave having scored them and knowing which one to build first.