AI in your company — from the server to the application.
AI is not a product you buy off a shelf. It works where it meets your own processes and your own data.
Why AI in a company
Every company holds knowledge in documents, in emails and in the heads of individual people. It is available to whoever knows where to look. AI makes that knowledge reachable for everyone. And it takes over work that repeats every day.
What it brings
Answers in seconds instead of a long search. Consistent quality, whoever happens to be in the office. Shorter onboarding for new staff. The value can be worked out beforehand: take one task, count how often it comes up in a month, and how long it takes.
What to watch out for
Three things decide the outcome. First, every answer names its source, so it stays verifiable. Second, it is settled in advance which data enters the system and who may see it. Third, for every task it is defined where the decision stays with a person. AI supplies proposals; you approve them.
Data protection from the start
The moment contracts, emails or personnel files enter an AI system, personal data is being processed. That is settled first, not last. GeekInfinity provides the data processing agreement under Art. 28 GDPR. It is defined which data enters the system, who may see it and how long it stays. Encryption, per-person access rights and logging are part of it. On request the solution runs entirely on your premises, so the data never leaves your network. The paperwork for your record of processing activities comes with it.
What GeekInfinity adds
AI needs a server, a network and a connection to what you work with today. GeekInfinity covers all three areas and builds the solution where you want it. Without a sales organisation it pays off for small companies too. One supplier, one schedule, one responsibility.
How it usually starts
With a short look at how you actually work, not with a slide deck. What is there, in what shape, how much of it, and what would your people want from it? That determines whether the thing is worth building — and that answer is sometimes no.
- Data processing agreement under Art. 28 GDPR
- Paperwork for your record of processing activities
- Feasibility review on your real processes and material
- Design: which data, who has access, where it runs
- Build and rollout, on your infrastructure or hosted
- Operation and monitoring
- Handover with documentation, if you would rather run it yourself