Artificial Intelligence Beyond Hype and AssumptionAI is increasingly shaping how organizations operate and compete, yet much of its adoption is influenced by incomplete understanding and broad assumptions about its potential. This often results in initiatives that lack clarity, struggle to scale, or fail to deliver meaningful value in real business contexts.To engage with artificial intelligence effectively, organizations must move beyond surface-level narratives and examine how these systems function, where they perform reliably, and where their limitations introduce risk. As artificial intelligence becomes embedded within enterprise systems and workflows, it requires a structured and disciplined approach that is grounded in practical understanding and informed decision-making.