We focus on two approaches that create real value for Austrian companies. AI that answers from your own data (RAG), and agents that handle entire workflows on their own. Plus a workshop that shows where AI actually pays off for you.
Many companies know AI is a topic, but not where it actually helps. We focus on the two areas that save time and prevent errors in practice, and we show you, using everyday situations, what that means for your business.
A language model knows everything about the world, but nothing about your company. RAG connects the AI to your own documents such as manuals, contracts, e-mails, tickets and wikis. This way the AI answers from real internal knowledge and cites the source instead of guessing. You can try a live demo of this approach directly on this page.
Try the live demo → Examples from practiceA customer reports a fault on an older machine, and the documentation is scattered across PDFs and old tickets. Your service team types in the question and immediately gets the right answer, along with a reference to the document the solution comes from.
In their first week, a new hire knows neither the holiday policy nor the right contact person. Instead of bothering three colleagues, they ask the internal assistant, which pulls the answer straight from the handbook and the works agreement.
Sales and back office check clauses, terms and prices directly against your approved documents instead of working from memory. The AI immediately shows the relevant passage in the original document, so incorrect commitments and outdated templates become rarer.
Here the AI does not just answer, it acts. An AI agent plans multi-step tasks and carries them out on its own across your programs and interfaces. This lets you automate real workflows from start to finish.
Examples from practiceEvery month, invoices pile up in different formats. The agent reads them, matches them against the purchase order and presents them for approval, correctly booked, asking back when something does not match.
Inquiries come in daily through the contact form, from job applications to complaints. The agent assigns each one to the right department, answers standard cases itself and forwards the rest. Your team only deals with the real special cases.
The agent continuously monitors stock levels, deadlines or technical values and, when something deviates, triggers the next steps on its own, such as a reorder or a notification. This way the right thing happens even outside office hours.
You sense that AI could help you, but you do not know where to start. Our experts come to your premises, present relevant use cases for your industry and work together with your team to figure out where AI realistically helps you. All without any large upfront investment.
We look at your industry and your typical workflows beforehand, so the workshop fits your business right from the start.
Our experts come to you and present concrete AI use cases that genuinely make sense for a company like yours.
In small groups made up of your people and our specialists, we go through your real workflows and gather where AI realistically brings value and where it does not.
We assess the identified use cases honestly by effort and benefit and decide together where you are best off starting.
In the end you have a clear, prioritised picture of your AI potential and a realistic next step.
RAG (Retrieval Augmented Generation) connects a language model to your own documents such as manuals, contracts, e-mails, tickets and wikis. The AI answers from real internal knowledge and cites the source instead of guessing. You can try a RAG system as a live demo directly on this page.
A RAG system answers questions from your company knowledge with a source reference. An AI agent goes one step further and acts: it plans multi-step tasks and carries them out on its own across your programs and interfaces, for example reading invoices or sorting inquiries. RAG delivers answers, agents handle entire workflows.
No. We set up RAG and AI agents based on your existing programs and data, without you having to invest in your own AI infrastructure upfront. The AI potential workshop first shows where AI pays off for you before anything is built.
We look at your industry and typical workflows beforehand, then come to your premises and present concrete use cases. In small teams made up of your people and our specialists, we go through your real workflows, assess the use cases by effort and benefit, and decide together where you are best off starting.
We mainly work with Austrian small and medium-sized businesses in Innsbruck, Tyrol and across Austria. RAG, AI agents and the workshop fit companies that hold a lot of knowledge in documents and e-mails or want to automate recurring workflows, all without a large upfront investment.