Marciano Hardjowikromo is a Dutch AI engineer and Technical AI Implementation Partner based in Groningen. He helps organisations across the Northern Netherlands, all of the Netherlands and the EU bring AI solutions successfully from prototype to production — with a focus on reliability, measurable business value, data sovereignty and European regulation. 80% of AI projects never reach production; he builds the 20% that actually works — often running within a week instead of after quarters.
With more than 20 years of experience in software engineering and systems integration, he specialises in designing, implementing and operationalising AI systems that genuinely run in production. His work spans the full AI lifecycle: from business case and architecture to evaluation, monitoring, governance, adoption and maintenance. He works daily with Claude, Gemini, Codex and Grok, among others, and stays deliberately model-agnostic.
Marciano specialises in:
His approach centres on fast implementation and lasting results. Instead of experimental pilots, he builds systems designed for production use from the outset — usually running within a week.
Analysis of processes, returns, risks, data sovereignty and technical feasibility. This is where he determines which AI solution best fits the business objectives.
Development and implementation of AI systems with built-in evals, monitoring, security, governance and scalability. The goal: a solution that runs reliably within existing business processes.
Training, documentation, runbooks and knowledge transfer ensure teams can carry on independently — not dependent on external consultants.
Marciano advocates model-agnostic AI architectures that let organisations adapt flexibly to technological developments. By avoiding vendor lock-in and choosing open standards, companies retain control over their data, infrastructure and future AI strategy.
A major part of his work is supporting organisations with questions around GDPR, the EU AI Act, data sovereignty and the safe integration of AI into business-critical processes.
His projects focus on concrete business results:
By making AI solutions production-ready, he bridges the gap between promising demos and systems that deliver value every day.
Wondering whether your AI project could be one of the 20%? Get in touch via [email protected], WhatsApp or LinkedIn.