Published 1 October 2025 · Last updated 8 July 2026
Your AI journey starts here
Many organizations know AI offers opportunities but don’t know where to begin. This guide gives you a clear step-by-step plan. It’s the same approach we use with our clients.
Education
The first step is understanding what AI can do. Not by reading for hours, but by experiencing it. Follow news about what other companies are doing, but more importantly: experiment yourself.
- Follow AI articles: LinkedIn, tech news sites, our newsletter
- Experiment: Use ChatGPT for your daily tasks
- Train your team: A workshop provides hands-on experience that reading can’t
Identify opportunities
After understanding AI’s possibilities, look for where it can add value. Start with your pain points, not with the technology.
Keep an AI logbook
For two weeks, note every time you think: “this takes too much time” or “this is boring work”.
Analyze processes
Step back and look at your workflow. Where are the bottlenecks? Where are resources being wasted?
Analyze opportunities
When opportunities are clear, the next step is the business case. What does it cost? What does it deliver? Be honest with yourself.
- Estimate costs: Licenses, implementation, training, maintenance
- Calculate returns: Time savings, quality improvement, new capabilities
- Create project plan: Timeline, capabilities, expectations
Implement
With a solid plan, implementation is the next step. You have two options: buy an existing solution or build something custom. In both cases, integration is the challenge.
It’s about people
Technical integration is one thing. But the real challenge is getting your team on board. People are naturally resistant to change. Involve them early, gather input, make sure they feel supported. This makes the difference between success and failure.
Need help?
This step-by-step plan might sound simple, but the details make the difference. We help organizations through each phase, from the first workshop to working AI solution.
Check out our AI Consulting services for professional guidance with your AI strategy, or read what AI implementation costs.
Frequently asked questions
Where do you start with an AI strategy?
With education, not technology. First make sure your team understands what AI can do by experimenting and training. Then identify opportunities from your own pain points, analyse the business case, and only implement once costs and returns are clear.
How do you find good AI opportunities in your organisation?
Start from pain points rather than the technology. Keep a log for two weeks of tasks that take too much time or are dull, repetitive work, and analyse your processes for bottlenecks and wasted resources. That is usually where the best AI opportunities sit.
What does developing an AI strategy cost?
A first AI readiness scan takes 1 to 3 days from EUR 3,000. A full roadmap with quantified business cases takes 2 to 4 weeks of work from EUR 5,000. Starting on your own is free, with experimentation and a log of opportunities.
Why do so many AI projects fail?
Usually not because of the technology, but because of the people. Around 70% of AI projects fail without proper guidance. Teams get involved too late, there is no buy-in and the business case was never quantified. Start small, prove the value and invest in adoption.