Artificial intelligence
The team identifies focused, governable use cases tied to real data, processes, and responsibilities. The goal is tools that are useful and verifiable in everyday work.
Founder & CEO · Filosoft
Not every problem has an answer in a standard product. Today, building a custom solution can be economically sustainable and offer a real competitive advantage.
For thirty years I’ve worked across business processes, systems design, and project management. Technology creates value when it becomes usable in everyday decisions and work.

My career began in publishing, following the journey from an author’s manuscript to the finished book. That work taught me that a complex product comes from coordinating different skills, constraints, timelines, and responsibilities.
For thirty years I’ve worked in IT consulting, web application design, process automation, and leading development teams. As Founder & CEO of Filosoft, I focus on the relationship between organizational problems, technology choices, and getting projects into production.
My background in philosophy, cognitive science, and psychology broadens this perspective: every system is used by people who interpret information, make decisions, and give meaning to change. This dimension shapes the analysis, especially in AI projects.
AI / Custom SW / Integrations
With the Filosoft team, problem analysis becomes shared work across design, development, and integration. Different skill sets come together to build solutions that are sustainable, governable, and consistent with the organization.
The team identifies focused, governable use cases tied to real data, processes, and responsibilities. The goal is tools that are useful and verifiable in everyday work.
Filosoft designs custom web applications and systems when a company’s process needs more precision, flexibility, or decision-making capability than a standard product can offer.
Integration work connects ERPs, applications, databases, APIs, and cloud services, reducing manual steps, duplication, and information gaps.
Experience with projects across manufacturing, agri-food, financial services, culture, universities, and healthcare.
From problem to use
The work starts with the problem, the people involved, and the expected outcome.
Processes, data, and constraints become a verifiable architecture.
A prototype reduces uncertainty before the main investment.
The solution enters existing work and produces observable results.
Outreach

Book · SMEs
Artificial intelligence: essential guide for SMEs
A guide designed to introduce business owners and managers to the opportunities, limits, and decisions involved in adopting AI.
Visit the editorial project ↗
Essay · Addiction medicine
Essay on artificial intelligence and addiction medicine
A work exploring the relationship between artificial intelligence and addiction medicine. The same topic was presented in a public talk at the Addictus national forum.
Watch the public talk on YouTube ↗First conversation
A process worth rethinking, systems that don’t talk to each other, or an AI use case worth testing.