In EAM environments, an AI that "guesses" isn't just a nuisance—it’s a $10,000/hour liability. While 87% of enterprises have AI initiatives , most struggle to scale because 40-60% of critical operational data, like real-time inventory and lead times, remains "dark" behind firewalls. This session explores how to transition from experimental AI to grounded, supply-chain-aware intelligence. We will examine the move from statistical guessing to auditable reporting, ensuring that AI-driven decisions regarding spare parts, vendor performance, and resource optimization are anchored in live Maximo data. Learn to deploy AI that respects security boundaries while delivering the veracity required for mission-critical supply chains