Despite massive investments in artificial intelligence, most pilots fail to achieve full business impact. We argue these failures stem from a critical oversight: Organizations treat employee and customer AI adoption as separate challenges rather than recognizing their interdependence. By analyzing past technology adoptions and interviewing employees and customers on current AI considerations, we identify consistent patterns where success hinges on simultaneously addressing both stakeholder groups’ needs across different implementation stages. This paper introduces an integrative framework that maps management strategies to the intersection of the Gartner Hype Cycle’s stages (Hype, Disillusionment, Enlightenment) and key stakeholders (Employees, Customers). Informed by theories of social contagion, socio-technical systems and the service-profit value chain, we distill our findings into a managerial toolkit. Our framework yields five recommendations: (1) set realistic expectations early to avoid credibility-damaging overhype; (2) invest in employee reskilling during disillusionment; (3) offer tangible customer benefits to maintain trust; (4) give employees agency in shaping AI applications; and (5) maintain competitive customer value. We demonstrate how organizations ignoring these principles experienced failures, while those applying them achieved sustainable integration. Our framework offers managers actionable guidance for navigating AI’s unique challenges. Unlike previous specialized technologies, AI broadly touches customer interactions and employee workflows simultaneously, meaning failures in one group rapidly cascade to the other. Organizations recognizing and managing these interdependencies from the outset can overcome daunting failure statistics and realize AI’s transformative potential.https://www.sciencedirect.com/science/article/pii/S00076813260010351-s2.0-S0007681326001035-main