What Separates Scalable AI-Driven Innovation From Promising Experiments

Forrester’s recent discussions with leaders from Google Cloud, Apply Digital, and Aptar highlight that scaling AI depends less on model capability alone and more on usability, cocreated workflow redesign, and focusing on minimum viable data rather than waiting for full data readiness. Even the most advanced AI solutions fail to scale if they are complex to use, so leading organizations simplify interactions through structured workflows, redesign processes with end users, and prioritize high-impact data to prove value quickly and sustain momentum.