What does commercializing an AI solution require? Lessons learned from two development projects.
05 | 2025 Olli Laine, Kipinä Co-founder & CEO
An AI solution often sounds like it involves a massive amount of mathematics, black boxes, and consultant jargon. But when you look at it from a practical standpoint, building an AI product is ultimately not that mystical. It requires the same thing as any successful product: a clear problem, a bold vision, and a great team.
In this blog, I discuss two very different customer cases at Kipinä – and what we learned from them about building an AI product. The first story starts from a doctor's everyday life. The second stems from a global objective to make ESG measurable.
1. RIDA – A solution born from a physician's frustration
Ridha Bennour is not a programmer. He is a physician who grew frustrated with constant typing.
Another remote consultation – same patient, same medical records all over again. It felt like more time was spent staring at the screen than interacting with people.
And then the idea was born: what if artificial intelligence could handle the documentation?
This is how RIDA got started. Kipinä came when the idea had to be turned into a real application—one that didn't require integration or training, but was still reliable. Doctors had to be able to use it right away.
The objective was bold: 10x efficiency in physician documentation.
In practice, this meant leveraging template phrases and utilizing an ultra-simplified user interface, among other things.
Three key aspects stood out during the project:
Collaboration: Rida Software understood the problem. We knew how to engineer the solution.
Quick wins: Initial steps don't always require bringing in AI right away.
Trust: With no prior development team in place, we were more than just implementers – we were a true partner.
Ease of adoption: "Plug & play" isn't just a buzzword – RIDA genuinely operates without complex integrations.
Today, RIDA is already deployed across multiple wellbeing services counties. And yes – it genuinely frees up time for people. The potential for continuous development is immense!
CASE RIDA
"Kipinä gave us so much more than just a development team. Through our collaboration, the Kipinä ecosystem has provided RIDA with visibility and networks that have also boosted the business start-up itself. The fact that we finished the RIDA app on time and on budget is a testament to our collaboration!"
Ridha Bennour
Gargantuan Medical Solutions
2. Planet AI – When sustainability needs to be measurable
Another story begins in a completely different domain.
Planet Company had built a concept on how companies could genuinely substantiate their sustainability efforts. ESG was full of lofty goals – but where was the concrete execution? Planet AI was sparked, and the concept was born: let's build a platform that leverages artificial intelligence to analyze corporate sustainability.
Kipinä came when the project had to be turned from an idea into a real product – and one that would work for enterprise customers. It was no easy task. The solution had to be:
production-ready
scalable
technically ambitious
In practice, we harnessed artificial intelligence to comprehend sustainability data. We engineered the entire backend, user interface, and AI pipeline. We guided development according to the roadmap to ensure the vision remained focused.
What did we learn from Planet AI?
An AI-driven product is not just a single model – it is a complete ecosystem.
Product development requires bold decisions: which AI components to build in-house, and where to rely on off-the-shelf solutions.
If you want to build something that doesn't exist yet, you need a team that dares to navigate without a precise map.
Today, the Planet AI platform is utilized by multiple global enterprises for ESG analysis.
CASE PLANET AI
"Kipinä has enabled us to take Planet AI development to a new level - qualitatively and technically. This has been crucial in enabling us to offer our services to the world's leading companies and take sustainability analysis to a whole new level."
Jussi Korpikoski
CEO, Planet Company
What are the key takeaways for productizing an AI solution?
It all starts with a problem.
Without a real problem, there is no AI product. For Rida and Planet, the problem was clear.
Co-creation is key.
The customer knows their problem. We at Kipinä know the technological means. The best solution is forged together, not pre-designed.
AI is not a separate entity.
A good AI product doesn't feel like "AI" – it just feels functional.
Product value is derived from usage.
Whether it's a physician or a sales director, AI is only useful if it genuinely saves time, improves decision-making, or helps sales teams close more deals.
Finally: AI doesn't build products – people do.
Together with Kipinä, Rida and Planet AI demonstrate that a successful digital product or business is no technical coincidence.
It is a deliberate choice, a clear target audience, functional execution – and above all, people collaborating.
The era of AI has begun. Yet, the best products are still created using the same recipe as before: listening to customers, building, experimenting, and evolving together.
Olli Laine, Kipinä Co-founder & CEO
The author is a visionary in the future of Finnish digital development, a passionate advocate of data-driven management, and one of the co-founders of Kipinä Software. In addition to his role as CEO, he wears a strong orienteer's headlamp and holds the credentials of an avid cross-country skier.