Scaling AI pilots requires strategy, alignment, and measurable outcomes. This panel highlights top tactics for expanding successful initiatives, aligning stakeholders, integrating with workflows, and prioritizing high-impact use cases. Leaders share lessons on overcoming adoption barriers, ensuring data quality, and creating governance structures that turn promising pilots into enterprise-wide AI programs that deliver lasting value.