Why Most AI Projects Fail (and How to Fix It)

Dr. Niklas Richter · 2026-09-08

Digital transformation is on every company's agenda. Yet so many projects stall, drag on, or quietly deliver nothing close to what was promised. Sound familiar? You're not alone. In a recent podcast episode, Virginie Claes sat down with Nick Allaert, co-founder of SANDT, to dig into the biggest pitfalls of technology projects. Why do so many strategies fall apart during execution? How do you get employees to actually embrace change? And why does AI only become valuable once it's truly woven into the daily rhythm of a business? Nick shares how SANDT guides companies from strategic advice all the way to full implementation. They talk about the hype around artificial intelligence, the gap between business and IT, successful change management, and why choosing the right technology often beats chasing the newest shiny tool. It's a conversation packed with practical insights for entrepreneurs and business leaders who want to invest in digital innovation with a clear return. ### The Real Reason AI Projects Fail It's rarely the technology itself. Most AI initiatives don't fail because the algorithms are weak or the data is messy. They fail because they're treated as a side project, not as a core part of how the business runs. Nick points out that companies often jump straight to tools without asking a simple question: what problem are we actually solving? Without that clarity, even the most advanced AI becomes an expensive experiment. You end up with a pilot that impresses in a demo but never touches real workflows. The fix? Start with the process, not the tool. Map out where decisions are made, where time is wasted, and where people are already struggling. Then ask if AI can genuinely help. Sometimes the answer is yes. Sometimes a simpler fix works better. ### Bridging the Gap Between Business and IT One of the biggest silent killers of digital projects is the disconnect between business teams and IT. They speak different languages, have different priorities, and often meet only when something breaks. Nick describes how SANDT tackles this by getting both sides in the same room early. Not for a status update, but for a real conversation about goals, constraints, and what success looks like. When IT understands the business pressure and business understands the technical limits, projects move faster and break less. It's not glamorous work. But it's the difference between a strategy that sits in a slide deck and one that actually ships. ### Change Management Isn't a Checklist You can have the best technology in the world, but if your team doesn't use it, you've wasted your money. Change management is often treated as a box to tick, a few training sessions and an email announcement. That's not enough. Nick emphasizes that people need to see what's in it for them. Not in a corporate-speak way, but honestly. Will this make their day easier? Will it remove boring tasks? Will it help them look good in front of customers? > "AI only becomes valuable when it's integrated into the daily operation of a company. Until then, it's just a demo." — Nick Allaert That integration takes time, patience, and a willingness to listen to feedback. It also means celebrating small wins early, so momentum builds naturally. ### Choose the Right Technology, Not the Newest There's a lot of hype around AI right now. Every week brings a new tool, a new model, a new promise. It's tempting to chase the latest thing. But Nick makes a strong case for restraint. The right technology is the one that fits your existing systems, your team's skills, and your actual budget. That might mean a less flashy solution that works reliably rather than a cutting-edge tool that requires a full rebuild. For entrepreneurs, this is liberating. You don't need to be on the bleeding edge. You need to be effective. ### Practical Takeaways for Business Leaders If you're planning a digital or AI project, here are a few things to keep in mind: - Start with the problem, not the tool. - Get business and IT talking from day one. - Treat change management as ongoing, not a one-time event. - Choose technology that fits your reality, not the hype cycle. - Measure return in real terms: time saved, errors reduced, revenue gained. Digital transformation doesn't have to be a buzzword. With the right approach, it can be a genuine competitive advantage. The key is to stay grounded, involve your people, and never lose sight of why you started.