The challenge with AI pilots
More and more small and medium-sized enterprises (SMEs) in the Netherlands are looking at artificial intelligence as a way to grow and stay ahead of the competition. Yet according to a study by the prestigious Massachusetts Institute of Technology (MIT), as many as 95% of AI pilots deliver no measurable result. That is a striking number, and it raises real questions about what goes wrong during AI implementation.
The predictive power of 5 key questions
Before you invest time and money in AI, it is essential to ask a few key questions. These questions help you judge whether your project is actually feasible. Below are five crucial intake questions that can expose the risk of failure:
- Who owns it? Clear ownership and responsibilities are essential. Is there an internal champion driving the project?
- What does the process look like? Understandable, well-defined processes are crucial. Are the steps toward AI integration properly planned?
- How good is the data quality? AI can only thrive on good data. Is there access to accurate and sufficient data?
- What measurable goal is being pursued? Concrete KPIs and measurable targets are necessary. What do you actually want to achieve with AI?
- How does adoption unfold? Adoption across the organization determines success. Is your team prepared and trained to work with AI technology?
Self-assessment and next steps
By answering these questions, you can assess your AI pilot more realistically and avoid potential pitfalls. Your answers should also guide how you shape the rest of the project. For more on how AI can strengthen your business and what it takes to succeed, take a look at our page on AI readiness.
Get in touch with AI Advies Bureau
Do you need help shaping and executing your AI strategy? AI Advies Bureau is ready to support you at every step of your AI journey. Contact us today to see how we can help.