Running an AI Transformation Initiative

e, the focus is on reducing operating costs by 25-40% and improving turnaround times from weeks to hours. Grace Anderson adds that true success is when AI is embedded in every workflow and culturally adopted across the company. The speakers emphasize that while financial metrics are important, non-financial goals like customer satisfaction and unlocking new business areas are equally important. As Richie Cotton notes, "It's okay to be mid-transformation; we just hope there's a butterfly at the end of it."

Importance of Executive Sponsorship

Executive sponsorship is vital for AI transformation success. Keri McCrensky stresses that transformation often cuts across departments and requires executive support to manage organizational structures. Grace Anderson agrees, noting that without executive engagement, AI initiatives are likely to fail. The speakers suggest creating a forum for cross-functional discussions, such as an AI committee, to facilitate communication and prioritize initiatives. This ensures that all stakeholders are aligned and that potential risks are identified early.

Getting Started with AI Transformation

Starting an AI transformation requires a clear focus on the problem to be solved. Keri McCrensky advises being laser-focused and avoiding scope creep. She emphasizes the importance of baselining current processes to measure future success. Grace Anderson suggests creating a use case portfolio by identifying key pain points and aligning them with company strategy. Execution involves ensuring the right resources, skills, and data are in place. Both speakers highlight the importance of building a "lovable product" to facilitate adoption and change management.

Skills and Communication in AI Transformation

AI transformation demands a mix of technical and soft skills. Grace Anderson distinguishes between specific AI tool training and foundational generative AI training. Keri McCrensky highlights the importance of a strong data team and integration specialists. Soft skills, such as curiosity and the ability to communicate effectively between technical and non-technical teams, are essential. The speakers recommend involving diverse roles in workshops to encourage collaboration and understanding. As Keri notes, "Remind the technical folks why we are all here—to help the patient."