In this episode of Insurance Corner, Heather Haley and Steve Walker are joined by Kim Wolff, an AI transformation leader with deep experience across financial services and cross-industry innovation.
Together, they explore what it really takes for organisations—particularly insurers—to move beyond experimentation and deliver meaningful AI-driven transformation.
Kim shares insights from working with regulated industries, highlighting a key misconception: organisations often believe they need fully mature governance before adopting AI, when in reality, progress comes from starting with focused use cases and iterating quickly.
The conversation dives into where AI is already delivering measurable value today, including:
- Customer support transformation through AI-assisted agents
- Supply chain and operational efficiency improvements
- Employee productivity and day-to-day workflow automation
The group also tackles one of the biggest industry challenges: why so many AI initiatives fail to progress beyond proof of concept. Kim outlines the importance of aligning AI initiatives to business value, securing executive sponsorship, and embedding adoption and change management into delivery.
A standout insight from the episode highlights that more than 40% of agentic AI projects may be cancelled in the coming years, emphasising the need for organisations to prioritise high-impact use cases and build strong governance and learning frameworks.
The discussion also explores:
- The shift towards experimentation and “failing fast” as a positive AI strategy
- The role of Centres of Excellence in scaling AI safely
- How organisations can capture and prioritise employee-led innovation
- Why AI transformation must be led from the C-suite to succeed
For insurers specifically, the episode reinforces the importance of balancing experimentation with governance, while focusing on delivering tangible outcomes such as reduced claims processing times and improved workforce efficiency.
Guest Speaker: Kim Wolff, AI Transformation Lead, Microsoft
