The article presents a cross-industry 90-day operating model designed to deliver fast, measurable outcomes from generative AI initiatives. It begins with identifying three to five AI use cases that address existing operational pain points, utilizing hosted or out-of-the-box tools to quickly test solutions. The process involves a listening tour, data classification, and regular progress tracking through weekly standups and user feedback sessions.
Risk management is integrated through data classification, human-in-the-loop oversight for critical tasks, transparent security policies, and a red button system to pause tools if problems arise. Funding is managed in stages: foundation, trial, and scale-up phases, ensuring financial discipline and accountability to business owners. By day 90, departments have refined AI deployments leading to time savings and quality improvements without replacing employees.
The model is adaptable to various sectors and highlights key lessons: consistent cadence is more valuable than perfection; plain guardrails foster leadership trust; and funding follows demonstrable business value. The article recommends early involvement of HR and communications to enhance adoption. Overall, the approach shifts AI deployment from tool chasing to creating compounding organizational time.
👉 Pročitaj original: CIO Magazine
