AI Efficiency for real operations
What should the AI do for you?
AI does the work. You approve it.Fixed permissions. Complete audit trail.
Or start from one of these.
Who answers for this
David Máj
Designs every system on this page. Reads every request. Answers for every pilot.
Most AI projects die between the demo and the first Monday in production. Somebody has to decide what the AI may touch, who signs off, and what happens when it is wrong. That is my job, and it is the reason these solutions look the way they do.
You will not find a pitch here. You will find the rules I run my own systems by, and an offer to test one defined piece of work before you commit to a wider programme.
Why AI projects stall before the model matters
The process comes from the people in it. I walk through the work with the people who do it today, before anyone touches a model. What they approve is what the AI learns to prepare.
- The AI starts read-only. It earns the right to change things one class of action at a time, and only after you approve the safeguards.
- You approve the exact thing. The message as it will send. The change as it will run. Never a summary of it.
- A refusal is a good sign. A tool that says no and logs it protects you. A tool that guesses does not.
- Pilot first, contract second. A defined pilot on your documents, alerts or accounts tells you more than any deck about ours.
If a pilot does not deliver what we agreed, you hear it from me first, with the numbers and what we change. I work with a small team of engineers in Prague. When you send a request, one of us reads the actual situation and responds with a scope grounded in it.