What Separates Scalable AI-Driven Innovation From Promising Experiments

Forrester’s recent discussions with leaders from Google Cloud, APPLY, and Aptar highlight that scaling AI depends less on model capability alone and more on usability, co-created 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 organisations simplify interactions through structured workflows, redesign processes with end users, and prioritise high-impact data