Where should we start with AI in operations?

To start implementing AI in operations, begin by identifying narrow, well-defined workflows that leverage existing data and deliver measurable results, such as in manufacturing, supply chain, or repetitive tasks like machine operation [2][3][5][8]. Prioritize small-scale pilots with defined user groups to test feasibility, focusing on areas with clear training paths and high potential for efficiency gains, like automation and predictive analytics, while ensuring organizational readiness in data, infrastructure, and culture [2][5][10]. This approach helps transition from pilots to production, avoiding common pitfalls of failed projects and building executive support through quick wins [1][10].