AI applied to business
I design artificial intelligence use cases with clear data, controls and goals; no demos without impact.
Artificial intelligence is useful when it solves a specific problem: reading and classifying documents, answering questions about your company's information or saving hours of review. I design those use cases with controls so the result is reliable, measurable and safe for your data.
Sound familiar?
- Your team reviews or sorts through too many documents, emails, or requests by hand.
- The information exists, but finding an answer takes too long.
- You want to use AI but don't know where to start or what the risks are.
- They tried AI tools that stayed in demo mode and no one uses.
What I do
- Internal assistants that answer using your company's information.
- Classification and analysis of documents, emails, and requests.
- Data extraction from documents to feed your systems.
- Computer vision when the case requires it.
- Architectures that let you switch model providers without rebuilding everything.
Experience
- AI integration within products: contextual assistants, document analysis, and computer vision.
- Architectures that alternate between different model providers so you don't depend on just one.
- The assistant on this very site (Acrobot) answers questions and follows up with prospects.
More detail in About me and in Clients and partners.
How I work
- 01 Diagnosis I learn the current process, the friction points and the outcome your team needs.
- 02 Proposal and quote You get a clear quote: what it includes, how long it takes and what you'll receive. No surprises.
- 03 Delivery in stages I move forward in working deliveries so we can validate with real users and adjust in time.
- 04 Launch and support I put the solution into operation, train your team and provide support. You're not left on your own.
Frequently asked questions
Is my data safe?
We define what information the AI uses, who has access and with which provider, and we apply controls so that nothing more than necessary leaves.
Does AI replace my team?
That's not the idea. It's used to take the repetitive review and search work off your team's plate, so they can spend their time making decisions.
How do I know if it's worth it?
We start with a scoped, measurable case. If it clearly saves time or reduces errors, it's expanded; if not, it stops with little investment.