ASML, a global leader in technology, manages vast amounts of data. Their Master Data Management Team faced a clear challenge: how can we make data and process management more efficient? In a world where AI is often about tools, this approach shows that the real value lies in listening to people. The goal? Maximum efficiency and workplace happiness.
ASML employees were struggling daily with repetitive tasks, time-consuming processes, and frustration over ineffective software tools.
Their main question: How can AI help us work smarter and more efficiently?
That’s exactly where Say Hai came in. Rather than simply offering them an “AI solution,” we first focused on uncovering their real pain points. That laid the foundation for meaningful change.
The process started with a Smart Task Audit. It may sound like jargon, but it’s really just a practical method.
We asked the team eight targeted questions: Which tasks are most time-consuming? What annoys you most? Which software doesn't work as it should?
The goal wasn’t to sell AI but to discover together where AI could make the biggest difference. No expensive tech for the sake of it—just a tailored solution. Why does this matter? Because AI only adds value when it truly addresses a company’s specific needs.
AI didn’t just help improve efficiency—it also gave us a powerful way to measure employee satisfaction. Through sentiment analysis, we could pinpoint exactly which tasks caused the most frustration. And yes, we discovered that some tasks were not only time-consuming but genuinely irritating.
These insights were worth their weight in gold. AI didn’t just streamline processes—it even predicted that outdated software platforms could increase employee turnover if no action was taken. In other words: you can retain your people simply by listening to what’s bothering them.
The result? An AI GamePlan that not only showed ASML where to improve but also provided concrete steps to get there. No abstract theory—just a clear, action-driven roadmap.
In this plan, we set priorities: which tasks should be automated first? What changes would have the biggest impact? How do these improvements contribute to operational excellence?
1. Practical AI solutions: We worked closely with ASML to map their real pain points. No one-size-fits-all approach—only strategic adjustments that truly make a difference.
2. Improved employee satisfaction: By understanding frustrations, we improved processes that reduced workload. This helps prevent burnout and increases job satisfaction.
3. Efficiency and time savings: The AI solutions we proposed reduced repetitive tasks, saving ASML time and resources while speeding up processes.
.png)
ASML’s experience clearly shows that AI doesn’t have to be scary or complex. It’s about identifying where efficiency is lost and where frustration arises—then implementing targeted solutions.
Whether you're in healthcare, manufacturing, or retail, AI can make the tasks no one enjoys more efficient—and your team happier.
You might wonder: “Is this right for my company?” We can already tell you: yes, it is. Want to discover how AI can improve your processes? Let’s explore the smart steps we can take together to make your workplace more efficient, effective, and enjoyable.