The Real Business Case: Why AI Adoption Is Usually Slow and Messy

AI adoption challenges in real businesses: the real business case for AI and why it’s usually slow and messy Unique deep-dive into AI in business, why AI projects fail, and the hidden organizational change for AI most leaders underestimate Learn how to build the right data infrastructure for AI, manage AI change, and overcome AI resistance with practical, real-world guidance

What You'll Learn:

• Why AI adoption challenges are rarely about the algorithm and mostly about organizational realities, trade-offs, and constraints
• How to build a credible business case for AI that goes beyond hype and connects directly to real business problems and metrics
• The role of data infrastructure for AI, including how data silos, messy schemas, and governance issues quietly kill promising AI pilots
• Simple ways to spot fragile AI implementation strategy assumptions before you invest time, money, and political capital
• How cultural resistance, fear, and low AI literacy show up in day-to-day work and what to do about them as a leader or practitioner
• A practical approach to AI change management that focuses on trust, transparency, and co-creation instead of top‑down mandates
• How to translate these insights into your own context by identifying one concrete use case and a single small step you can take this week
• A quick reflection routine to write down and retain key ideas so you actually apply what you learned, not just listen and forget