Service · AI in business
AI where it counts, not for show.
I identify where artificial intelligence brings measurable benefit, design the solutions, integrate them into your processes and support your people, until AI becomes everyday work.
01
When you need it
- You've tried a few AI tools but don't know what to do with themLicences bought, used by few. You need someone to say where AI is genuinely worth it and where it isn't.
- You have prototypes that never reach real workConvincing demos that stay demos. They need integrating into your processes, with reliability, rules and accountability.
- You want to start safelyData, privacy, transparency, the AI Act. You need clear usage rules before you scale.
- You want to know what pays off and what doesn'tNobody can say what AI actually returns in the business. You need to measure, to decide where to invest.
02
What I do
- Identifying use casesI map processes and activities, assess where AI can bring benefit and rank the options by expected return, feasibility and risk. A few use cases, chosen well.
- Pilot projectI build a first solution on a concrete case, with metrics defined before we begin. That way we decide on real data whether to extend it.
- Integration into processesI bring LLMs, computer vision and intelligent agents into existing workflows and applications, not into parallel tools.
- Training your peopleI train the team on the work they do every day, with practical cases and good usage practice, so the tool is genuinely adopted.
- AI governanceI define usage rules, responsibilities, data handling and transparency, in line with privacy rules and the AI Act, with risks under control.
- Measuring resultsSimple indicators to check the impact and decide whether to scale, correct or stop.
03
What you get
- Use cases chosen on expected return, not on fashion.
- AI solutions built into your processes, that people actually use.
- Clear rules on data, accountability and transparency.
- Measured results and a solid base for extending AI across the rest of the business.
- A counterpart who combines business vision with technical expertise.
04
How we work
We start with analysis and a pilot case, then extend. I work personally and, where needed, with AI and domain specialists chosen for the project. I define the use cases, lead the build and govern adoption: there are no handovers between those who design and those who build.
- 01Context analysis
- 02Clear objectives
- 03Execution
- 04Adoption
05
Case studies
Projects where I delivered this service, with real teams, budgets and timelines.
06
FAQ
Where do you start with AI in a business?
With a map of your processes and a few use cases assessed on expected return and feasibility. Then a pilot project with clear metrics: on the results, we decide whether and how to extend it.
Which AI technologies do you use?
Language models (LLMs), computer vision and intelligent agents, chosen to fit the problem. I don't sell a platform: I choose the solution that suits your case.
How do you handle privacy and the AI Act?
I work with you to define usage rules, notices and transparency towards users and employees, and how data is handled. For the legal aspects I recommend involving your own counsel, with whom I'm happy to work.
Do I need existing data or dedicated infrastructure?
Not necessarily. Many use cases start from the data and tools you already have. We'll check what's needed during the analysis phase.
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Let's talk
Got a project to see through?
Tell me the context. I'll tell you whether I can help, how, and with which team.