We need to "do something with AI," but then what? Gen-AI is the buzzword of the moment. Companies see it as the fast track to innovation: "We'll buy Copilot licenses and get started." Sounds simple, right? But then comes the reality check: Gen-AI is not plug-and-play. It's not an app you install and that's it. It requires a different way of working, thinking, and organizing. Releasing AI tools without preparation is like buying a race car without a driver's license. You have something powerful in your hands, but without knowledge and structure, it becomes dangerous. Or at the very least, useless. 

The misconception: licenses solve everything

Many organizations want to jump in halfway: "We'll just start and see what happens." But without a foundation, this is a recipe for disappointment. Driving without a clear route or concrete direction means you'll be surprised where you end up. That sounds great for a Sunday morning, but it's less useful for a business vision. When you set a route on your navigation system, it always starts at your current location. This is also the starting point when it comes to implementing Gen-AI. 

There are several components that require attention on the path to using Gen-AI. This is because it involves a new way of working; AI not only changes technology, but also culture and processes. People need personal guidance in this regard; they must learn how to use AI wisely. That is why it is important to establish an organization-wide policy. This policy should cover topics such as the AI Act, security, and governance. These topics concern safety and policy and are not side issues, but preconditions. In addition, take a good look at your data foundation: is your data clean, structured, and accessible? Without a good foundation, AI is blind. 

Questions you can ask for this:

• How do you know if your data is ready for AI? 
• Who is responsible for compliance and security within your organization? 
• How do you ensure that employees not only use AI, but understand it? 

Can't answer the above questions completely? Then you're not ready to start with Gen AI. And that's okay. As long as you acknowledge it. After all, it's not technical details, but strategic choices that determine whether AI adds value or remains an expensive gimmick. 

The AI bubble. And why that's not your biggest concern

Speaking of expensive gimmicks: there is a lot of talk about the AI bubble. Huge investments, sky-high expectations, and the question of whether that bubble will ever burst. It is reminiscent of the internet bubble of the early 2000s. That bubble did indeed burst, but look around you: the internet has not disappeared. In fact, it is woven into our daily lives. The same thing will happen with AI. Maybe the bubble will burst, maybe it won't. But one thing is certain: AI is becoming integrated into our work and our lives. It will become as commonplace as email or online banking. The question is not whether you will start using it, but how you will do it properly. 

Back to start

Before you step on the gas pedal, you need to know where you stand. Why do you want to take this route in the first place? Because you can only choose where you want to go once you understand what is possible. By exploring the right themes, from data fundamentals to policy and culture, you can get a grip on the road to more efficient and enjoyable work. This way, innovation becomes not a vague dot on the horizon, but a clear destination. 

Why Valid?

At Valid, we help organizations that don't know where to start. We make it concrete, so you don't jump in halfway but get off to a solid start. No separate licenses, just a plan that works. And are you wondering what the difference is between Gen-AI and AI? We'll explain it to you, at your own pace.

About Wanda de Groot

This blog was written by Wanda de Groot. Wanda is a results-oriented professional who quickly grasps complex issues and translates them into clear solutions. Her analytical skills and direct communication style ensure clarity and progress, even in dynamic environments. Wanda provides structure where necessary, holds people accountable for their responsibilities, and at the same time creates a safe, people-oriented atmosphere in which teams can perform optimally.