Many companies want to use AI but cannot — because sending data to an external service is prohibited. For banks, insurers, clinics, law firms and organizations working with government agencies, this is not a technical barrier but a matter of principle.
In-house AI removes that barrier: the model runs on your server or on a separate, dedicated server that belongs to you and is managed by us. Documents, correspondence and customer data never leave your network.
What it can do
Internal knowledge base
An employee asks a question — the answer comes from the company's own documents, policies and instructions.
Document analysis
Short summaries of contracts, acts and reports; extraction of deadlines and obligations.
Internal correspondence
Preparing drafts of letters, replies and minutes.
Archive search
Search by meaning across old documents — no need to know the keywords.
Why us
In this service, the main work is not the model itself — it is the infrastructure. Server selection, security, backups, updates, access control and monitoring. We have been managing our own servers and client systems for years: hosting, mail servers, PBX, monitoring and backup systems are our daily work.
What to keep in mind
- There are hardware requirements. A local model needs a suitable server — we calculate this at the first meeting.
- Results may differ from the cloud. Local models are somewhat weaker at some tasks; we tell you openly which tasks are a good fit.
- A hybrid model is possible. Sensitive data stays local, routine work goes to the cloud — we draw the line together.
To be clear: not every company needs local AI. If there is nothing sensitive in your data, a cloud solution is cheaper and more powerful. If after the audit we tell you that you do not need a local setup, that is a perfectly normal outcome too.
How we work
All our AI solutions follow the same principle: artificial intelligence does not make decisions — it speeds up your employee's work. The system prepares a draft, and a person reviews and approves the result. This both lowers the risk of errors and keeps your team in control of the process.
- Introduction and audit — together we measure how much time each process takes.
- Pilot — a limited-scope trial in one department, with your real data.
- Measuring the results — we compare the numbers before and after the pilot.
- Full rollout — once the results are visible, it is extended to the whole company.
- Ongoing support — the model and rules are updated as your workflow changes.
Is this solution right for your business?
Let's review your process in a short conversation — if it is not a fit, we will tell you openly.
Contact usFrequently asked questions
Does in-house AI send our data outside?
No. The model runs on your server or on a separate, dedicated server that belongs to you and is managed by Creative Group. Documents, correspondence and customer data do not leave your network, which is important for banks, clinics and law firms.
What can local AI do?
An internal knowledge base that answers from the company's own documents, summaries of contracts and acts, extraction of deadlines and obligations, drafts of letters and minutes, and search by meaning in the archive. The AI does not make decisions; a person reviews and approves the result.
Does every company need a local AI setup?
No. If there is nothing sensitive in your data, a cloud solution is cheaper and more powerful. A local model needs a suitable server, and for some tasks the results may be weaker than the cloud. A hybrid option, with sensitive data local and routine work in the cloud, is also possible.
How do we start an in-house AI project?
First comes an introduction and audit, and the server requirements are calculated at the first meeting. Then a limited-scope pilot is run in one department with real data, and the results are compared before and after. Once the results are visible, full rollout and ongoing support follow.
