Why Most AI Projects Fail Before They Even Start

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Why do so many AI projects fail? Nick Allaert from SANDT shares the biggest pitfalls, how to bridge the business-IT gap, and why change management is the key to success.

Digital transformation is on every company's agenda these days. Yet, so many projects drag on or never deliver the results everyone hoped for. You've probably seen it yourself: big promises, expensive tools, and then... nothing changes. In a recent podcast episode, host Virginie Claes sat down with Nick Allaert, co-founder of SANDT, to dig into why tech projects go off the rails. They talked about the biggest pitfalls, how to get your team on board, and why AI only matters when it's truly woven into daily operations. Nick works with companies from strategy all the way to full implementation. He's seen the hype around artificial intelligence up close, and he knows where the gap between business and IT really hurts. Here's what stood out. ### The Execution Gap: Where Strategies Go to Die You've got a solid plan. Everyone nods in the meeting. Then weeks pass, and nothing moves. Sound familiar? Nick says the problem usually isn't the strategy itself. It's the execution. Companies often underestimate how much change management is needed. People don't resist because they're stubborn. They resist because they don't see what's in it for them, or they're afraid of looking stupid. > "Choosing the right technology is often more important than choosing the newest technology." โ€“ Nick Allaert That quote hits hard. We're so obsessed with being cutting-edge that we forget to ask: does this actually solve our problem? Will our team use it? ### Why AI Is Only Valuable When It's Integrated AI is everywhere right now. Every software tool claims to have it. But Nick points out that AI is worthless if it sits in a silo. It has to be part of how you work every day. Think about it like a new hire. You wouldn't train someone and then never let them touch a project. Same with AI. It needs to be embedded in your workflows, your decision-making, your customer interactions. That means starting small. Pick one process. Test it. Learn from it. Then scale. Too many companies try to boil the ocean and end up with nothing but steam. ### Bridging the Gap Between Business and IT There's often a language barrier. Business leaders talk about outcomes and ROI. IT talks about systems and architecture. Neither side fully gets the other. Nick's advice? Get them in the same room early. Not just for a kickoff meeting, but throughout the project. When IT understands the business goals and business understands the technical constraints, magic happens. Well, maybe not magic, but definitely progress. ### Change Management: The Unsexy Hero You can have the best tech in the world, but if your people don't use it, you've wasted your money. Change management isn't a nice-to-have. It's the difference between success and failure. - **Communicate the why.** People need to know why this change matters. - **Involve them early.** Ask for input. Address concerns. - **Provide training.** Don't just dump a manual and walk away. - **Celebrate small wins.** Momentum builds confidence. It's not rocket science, but it does take effort. And it's usually the first thing to get cut when budgets tighten. That's a mistake. ### The Bottom Line for Entrepreneurs If you're investing in digital innovation, don't just chase the shiny new thing. Focus on the problem you're solving. Get your team involved. Choose technology that fits your actual needs, not just what's trending. And remember: AI is a tool, not a magic wand. It only works when it's part of your daily grind. Want to hear the full conversation? Check out the podcast episode. It's packed with practical insights for business leaders who want real returns on their tech investments.