How to Build a Vision AI Center of Excellence
Blog post from Roboflow
Building a Vision AI Center of Excellence involves a structured approach outlined in three steps: Define, Pilot, and Codify. The process begins with defining a North Star metric, identifying three use cases of varying difficulty, and establishing a committed working group, which includes a vendor counterpart, an internal engineering lead, and a crucial operations leader. The pilot phase tests the operating model using the easiest use case to ensure any failures are process-related rather than technical, setting up the catalog-entry shape and establishing baseline measurements. Codification involves promoting the first successful solution into a version 0 catalog, setting role assignments, and planning a quarterly portfolio review to transition towards plant-led deployments. This structured sequence ensures the creation of a reusable, scalable system that enhances future AI deployments, as opposed to merely achieving a singular impressive pilot, thereby forming the foundation of a Vision AI Center of Excellence.
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