We are working on a feature exploring how artificial intelligence performs beyond controlled environments, specifically where it struggles, breaks, or creates unintended consequences in real-world business systems. We’re looking to hear from experienced professionals across industries who have implemented, scaled, or operated AI-driven systems. We are particularly interested in insights from: - Manufacturing and industrial operations - Supply chain and logistics - Cybersecurity and risk management - Healthcare operations (beyond clinical use) - Financial services and compliance - HR and workforce transformation - Retail and e-commerce operations - Government and public-sector technology Questions: 1. What is one assumption about AI that fails in real-world environments? 2. Where have you seen AI underperform despite strong expectations? 3. What hidden constraint (data, workflows, people, infrastructure) impacts AI success the most? 4. What do most companies misunderstand about deploying AI at scale? Requirements: 1. Include your name, role, company, and years of experience. 2. Responses should be based on direct, hands-on experience. 3. 150–300 words preferred.