Visible completion
You can see work moving from pending to finished instead of relying on a black box.
AI consultant for SMEs I build AI systems for SMEs that reduce repetitive work, stop leads from slipping, and make operations more resilient. The goal is not just efficiency. It is getting out of constant firefighting mode.
Fewer forgotten tasks, fewer follow-up gaps, fewer urgent issues created by fragile processes, and more planned work moving predictably.
The work keeps moving even when the hand stops. Operations stop depending on constant manual push to keep their pace.
The system handles the volume and brings your team only what needs context, judgment, or a real decision.
The systems I build are meant to show work getting done, not hide complexity behind buzzwords. Tasks get completed, information gets routed, and loose ends settle into a clear operating rhythm.
You can see work moving from pending to finished instead of relying on a black box.
The goal is steady operational throughput, not flashy AI demos that break in production.
The system adapts to how your company actually works, then gets refined as the business evolves.
When operations depend on improvisation, everything turns into urgency. The goal is to build processes that can handle the real volume of the business.
Fewer forgotten tasks, fewer follow-up gaps, fewer urgent issues created by fragile processes, and more planned work moving predictably.
The work keeps moving even when the hand stops. Operations stop depending on constant manual push to keep their pace.
The system handles the volume and brings your team only what needs context, judgment, or a real decision.
This is grounded in real production experience. Before focusing on SMEs, I co-founded a boutique AI consultancy and spent 9+ years applying AI across banking, energy, and healthcare β with projects and research conducted in Europe and the United States.
Award-winning work in the banking industry across data, tooling, and digital strategy β recognized with international industry awards.
Applied AI research in Houston focused on operational performance in renewables, as part of an EU-USA funded research collaboration.
Founder of two data and AI companies, building products and teams from the ground up across Europe.
I start with consulting: diagnosis, priorities, and the right decisions before implementation. Then I design and implement the specific systems your business actually needs.
Ongoing working sessions for strategy, tool selection, process design, roadmap decisions, and implementation oversight.
Well-scoped productized implementations for real operational needs, without turning every engagement into an open-ended project.
Web, infrastructure, and specialist partners extend delivery without turning the work into bloated consulting overhead.
Most clients do not need an abstract AI strategy deck. They need specific operational wins that save time, reduce mistakes, and create space for better work.
Chatbots and lead qualification flows that respond quickly and hand over cleanly when a human is needed.
Tools that help teams find company knowledge, standardize answers, and reduce repeated internal questions.
Processes that connect your tools, move information, and remove manual admin without adding more complexity.
Practical workshops so non-technical teams can use AI confidently without hype or jargon.
There's a type of leader this clicks for immediately. Ambitious, pragmatic, and done waiting to see how AI plays out.
You see AI as a competitive edge, not an IT project. You're already thinking about what's next, and you want someone who can make it real.
Your competitors are moving. You'd rather be 6 months ahead than spending the next 2 years catching up. The cost of waiting is obvious to you.
You're running real operations and you know some things shouldn't depend on you showing up every day. You want systems that work, quietly, without babysitting.
We map the repetitive work, identify the highest-leverage automation opportunities, and decide what should be built first.