AI is only as good as the data behind it. We help you move beyond pilots and experiments, building AI that’s reliable, compliant, and ready to support your real business goals.
"You really need to structure your process before you automate it. You can't automate what you haven't documented."
Jeroen Visser
CTO at i-spark
Most companies are curious about AI but struggle to move beyond proofs-of-concept. “Which AI use cases actually create value for us?” “Do we have the right data and governance in place?”
The truth is: AI only works when it’s built on reliable and well-structured data. Without that, automation is fragile, models are biased, and ROI remains unclear.
Maybe you’ve tested a model that showed promise, only to find it impossible to scale. Or you’ve invested time and budget, but the return is still unclear. You deserve AI that works in practice, not just on paper.
We start with defining a clear goal.
Together we look at your ambitions, your strategic priorities, and the challenges you want to solve. You’ll gain clarity on which use cases are worth pursuing, what tools and skills you already have, and where the gaps are.
This phase gives you a realistic, transparent view of what AI can do for you today, without overengineering or chasing hype.
That means a clear business case and a realistic timeline. We design AI pipelines and models, which your team knows how they work, why they work, and how to keep them reliable over time.
You’ll understand not just the technical side, but also the risks, costs, and expected results; giving you confidence that AI is a trusted part of your operations.
Questions we often hear about AI.
No. You don’t need to hire a full AI department to get results. We provide specialised expertise and integrate with your team, so you can start small and scale when it makes sense, without overcommitting resources.
Messy, fragmented data is one of the biggest blockers we see. That’s why we start by assessing and strengthening your data foundations. With clean, well-structured data in place, AI becomes not only possible but reliable.
Adoption is just as important as the technology. We design solutions that are explainable and easy to use, and we involve your stakeholders early on so that they feel ownership, not resistance.
We don’t just build a model and walk away. We set up monitoring, governance, and clear ownership so your AI continues to perform — and we stay available to support you as your needs evolve.
With i-spark, you get a partner who combines deep technical expertise with a pragmatic, ethical approach. We help you move past hype and into impact.