Developed by IIA Expert Adam McElhinney, this framework gives analytics and AI leaders a clear, practical way to move from AI ambition to execution. Rather than focusing on models or tools, it centers on the real work enterprises struggle with most: choosing the right problems, avoiding common failure points, and building solutions that can actually be sustained in production.
The framework combines hard-won lessons from real enterprise implementations with a step-by-step path from idea intake through deployment and ongoing monitoring. It helps teams bring clarity to AI decision-making, align initiatives to business outcomes, and create the governance and operating discipline needed to deliver durable, measurable value from AI.