MIT’s 4-stage Enterprise AI Maturity Framework

This workshop presented by Peter Weill, Chairman & Senior Research Scientist at MIT CISR & ADAPT Senior Advisor, explores the four stages of AI maturity, from initial experimentation to full-scale industrialisation, highlighting how businesses can progress to maximise bottom-line value. While AI investment is rising (70% of CIOs plan to increase spending on generative AI), ADAPT finds that only 25% of organisations have automated workflows, revealing a gap between AI readiness and execution. Discussions centred on overcoming these challenges, improving ROI, and ensuring AI investments translate into measurable business outcomes.Real-world AI case studies highlighted AI’s transformative impact, with deep dives into J&J and Atlantic Health. These examples showcased AI-driven advancements in healthcare and enterprise operations, illustrating best practices for adoption and scaling.

A major theme was the gap between CEO expectations and AI outcomes, with discussions on improving ROI, strategic alignment and the effective use of generative and predictive AI.…