Stephanie Licht

As economic pressures intensify, organisations are under growing pressure to prove that AI investments deliver measurable business value. Yet many remain stuck in "pilot paralysis", running isolated experiments that never scale. Success requires more than great technology; it demands the right operating model, governance, data foundations, and ROI framework. In this panel discussion, we'll explore why AI initiatives stall and how organizations can build the capabilities needed to move from proof of concept to enterprise-wide impact.

• Achieve measurable AI ROI by aligning use cases with strategic business outcomes

• Move successful pilots into production by building the right governance and operating model

• Reduce the risk of fragmented AI adoption through stronger data and technology foundations