Council Post: Five Steps Leaders Can Take To Integrate AI Into Complex Workflows

A Council Post outlines how leaders can integrate AI into complex workflows without stalling at pilot scale. It argues that proofs of concept can become dead ends when data centers and tech stacks cannot support models reliably at scale, while prior approaches based on monolithic migration and transformation are too slow. The article recommends starting with the most complex problems first, warning that narrow use cases can create isolated AI point solutions rather than embedding AI into broader workflows. It also calls for bottom-up design by understanding sub-functions, using the example of healthcare payers where coding guidelines, regulatory requirements, and data privacy must be addressed before model deployment. Leaders should incentivize end users with clear, visible benefits, and treat AI integration as iterative—failing fast to refine processes rather than abandoning efforts after setbacks. The piece emphasizes governance, integration across systems, and ongoing refinement.