• Discussing why limiting AI pilots to well-defined, high-value workflows reduces risk and creates measurable results before expanding into complex operational processes
• Implementing frameworks that manage nondeterministic outcomes and prepare teams for solutions that may not deliver predictable results every time
• Developing success metrics to benchmark AI pilots against traditional analytics

CASE STUDY