Is our company data safe?
Yes. We design solutions with GDPR in mind, send data only where strictly necessary, and choose model provider modes where your data is not used for training. Sensitive parts can also run on your own infrastructure.
Which technologies and models do you use?
Modern language models (OpenAI, Anthropic, open-source alternatives) combined with a Laravel backend. We connect the solution to your CRM, ERP, e-commerce, or helpdesk and pick the model based on the task, not the hype.
Does AI make sense for a smaller company?
Often especially for one. Automating routine admin, extracting documents into accounting, or generating product descriptions saves the time a small team lacks the most. You can start with a small pilot without a large investment.
What if the AI gives wrong answers?
We plan for it from the start. We set up guardrails, restrict answers to verified sources, escalate complex cases to a human, and continuously measure and tune output quality. The goal is not to let AI decide without oversight, but to safely speed up the team's work.
What is AI automation for business?
AI automation for business means using artificial intelligence so that part of the repetitive work happens faster, more accurately, or with less manual effort. It can cover invoice and document data extraction, inquiry processing, working with documents, internal search, reporting, CRM integration, or automatically generating materials for the team.
How much does AI automation for business cost?
The price depends on the scope, the data, and the number of connected systems, so we quote only after a short analysis. We recommend starting with a smaller pilot on a single process, with a fixed price and a clear goal agreed upfront. More complex integrations into CRM, ERP, e-commerce, or internal applications are quoted individually, and long-term operation runs on monthly capacity from EUR 290 excl. VAT.
How do I know AI automation will pay off?
It pays off when a company repeatedly handles the same questions, manually re-types data, looks up information in documents, struggles to answer customers quickly, or spends a lot of time on admin. Before any development, we first look for a process where the time saving or service improvement can be clearly measured.
How long does deploying AI automation take?
A working prototype with your real data is ready within days to a few weeks. Full deployment with integration into company systems usually takes several weeks depending on the complexity of the process, data quality and the number of connected tools.
Where should a company start with AI automation?
With the process where people re-type the most by hand today. Most often that is extracting invoices and delivery notes into accounting, processing incoming inquiries, or looking up information in documents. Pick one such process, measure how many hours it takes today, and we will build the pilot on exactly that.