The Human Interface for Enterprise AI, with Ilann Hepworth at ShopAI

Most AI adoption fails because businesses force employees into yet another system. The bigger opportunity is to bring trusted intelligence into familiar workflows, especially email, so people can access business data without learning new dashboards, navigating disconnected platforms or relying blindly on generative AI. The commercial value lies in reducing friction, widening access and turning siloed information into faster, more confident decisions. Ilann, a marketing-services executive turned AI founder, explains how ShopAI connects employees to governed business data through natural-language requests. Its approach separates data retrieval from language generation: structured queries produce validated answers, while language models translate them into usable responses. That design aims to reduce hallucinations, control costs and create an auditable trail. The broader lesson is that enterprise AI will scale when it is human-first, embedded in existing habits and trusted enough to support real operational decisions.