Why Most AI Projects Fail Before They Even Start

Dr. Niklas Richter · 2026-09-08

You've probably seen it. A company announces a big digital transformation. There's a kickoff meeting, a fancy slide deck, maybe even a dedicated team. Fast forward six months, and the whole thing has quietly fizzled out. The tools are half-implemented. The team is frustrated. And the promised ROI? Nowhere to be found. So what's going wrong? That's exactly what Virginie Claes digs into with Nick Allaert, co-founder of SANDT, in a recent podcast episode. And their conversation hits on something every business leader needs to hear: the problem usually isn't the technology. It's everything around it. ### The Execution Gap: Where Strategies Go to Die Nick's seen it hundreds of times. Companies spend months crafting a beautiful digital strategy. They map out the tools, the timelines, the budget. Then they hand it off to IT and expect magic. But here's the thing—strategy without execution is just a wish list. And execution without buy-in from the people actually doing the work? That's a ticking time bomb. "The biggest pitfall isn't choosing the wrong AI tool," Nick explains. "It's assuming that because the technology works, people will automatically use it." That assumption costs companies millions. Not just in wasted software licenses, but in lost momentum, eroded trust, and the opportunity cost of not actually transforming anything. ### The Business-IT Divide Is Still Real You'd think by now, in 2025, we'd have figured this out. But the gap between business teams and IT teams is as wide as ever in many organizations. Business leaders talk about customer experience, revenue growth, and competitive advantage. IT teams talk about system architecture, security protocols, and integration challenges. Both are right. Both are necessary. But they're often speaking completely different languages. Nick's approach at SANDT is to bridge that gap early. Before any technology gets selected, he brings both sides into the same room. Not to argue about tools, but to align on outcomes. What problem are we actually solving? How will we know if it's working? Who needs to change their daily routine for this to succeed? ### Why the Shiniest Tool Isn't Always the Right One There's a lot of hype around AI right now. Every vendor promises the world. Every conference has a keynote about the latest breakthrough. And it's tempting to chase the newest, flashiest solution. But Nick offers a counterintuitive piece of advice: **the right technology is almost always more valuable than the newest technology.** A simple, well-integrated tool that people actually use will outperform a cutting-edge system that sits idle because nobody understands it. Every single time. > "AI only becomes valuable when it's woven into the fabric of daily operations," Nick says. "Until then, it's just an expensive experiment." That means starting small. Identifying one workflow where AI can genuinely save time or improve decisions. Proving it works. Then expanding from there. ### Change Management: The Unsexy Hero If there's one theme that runs through the entire conversation, it's this: change management isn't a nice-to-have. It's the whole game. Here's what that looks like in practice: - **Communicate the "why" relentlessly.** People need to understand what's changing and why it matters for them, not just for the company. - **Involve frontline employees early.** They know the pain points. They'll spot problems your strategy missed. - **Celebrate small wins.** Momentum builds when people see progress, not just promises. - **Train for confidence, not just competence.** Knowing how to use a tool is different from feeling confident using it every day. - **Measure what matters.** If you're not tracking adoption and impact, you're flying blind. ### The Bottom Line for Business Leaders Digital transformation doesn't fail because the technology is bad. It fails because we treat it like a technology problem when it's really a people problem. Nick's message to entrepreneurs and business leaders is clear: slow down. Get alignment before you get tools. Invest in change management as seriously as you invest in software. And remember that the goal isn't to be cutting-edge—it's to be effective. Because at the end of the day, a modest AI tool that everyone uses will always beat a brilliant one that nobody touches. And that's not just a tech lesson. It's a business lesson.