When AI Projects Go Off Track: Lessons from the Trenches of Corporate Innovation
How understanding stakeholder dynamics and implementing structured communication can save your next AI initiative Picture this: You’re halfway through an ambitious AI project. The tech looks promising, leadership is excited, and your team has worked tirelessly for months. Yet somehow, everything feels… wrong. Budgets are ballooning, deliverables are delayed, and your stakeholders are growing restless. Sound familiar? You’re not alone. From healthcare to financial services, from retail to public sector — AI projects are hitting the same walls. After analyzing dozens of real-world case studies, I’ve discovered a surprising truth: it’s rarely the AI that fails. It’s the humans. The Invisible Break Points While we obsess over algorithms and data quality, the real AI project killers lurk in plain sight. Like a perfectly engineered bridge collapsing because someone forgot to secure the foundation, sophisticated AI projects crumble due to fundamental oversights we’ve seen for decad...