Most organizations are dabbling in AI: running pilots, testing tools, and experimenting at the edges. But very few have made the leap from experimentation to enterprise-level optimization where AI consistently delivers measurable business outcomes. This session breaks down what it takes to move beyond isolated proofs of concept and turn AI investments into scalable, high-value, repeatable processes embedded in workflows, systems, and decision-making.

Maria Novelli, Learning & Talent Development Manager from Pearson will explore the elements that separate pioneers from the pack, from building an airtight business case and securing executive sponsorship to aligning AI efforts with defined business outcomes. You’ll learn the operating model shifts, talent capabilities, data foundations, governance structures, and change management disciplines required to help AI adoption stick. Technology alone isn’t enough; unlocking value at scale demands coordinated behavior change, trust, and a deliberate approach to transforming how people work.

• Distinguish what separates AI experimentation from enterprise-scale impact
• Learn how to build a compelling business case, secure executive sponsorship, and align AI initiatives to clearly defined business outcomes
• Identify the critical enablers for scaling AI across the organization