Recurring requests, checks, and data entry run inside the systems you already use, with your approval at the decisive points. Your team gets its time back for the work that actually matters.
The routine that used to take hours every week runs with less effort. That time goes to customers, decisions, and improvements.
The agent works in your ERP, CRM, ticketing system, or document store and replies by email, Teams, Slack, or WhatsApp. Nobody learns a new interface.
The agent does only what you have approved. Where it matters, a person decides. Every action stays traceable.
First we work out whether an AI agent is worth it for this activity. If it is not, we tell you.
Four typical cases. What the agent takes over in your activity is something we define together.
In every phase you see what is decided and why.
We look at the activity: participants, systems, exceptions, and the outcome that counts. It ends with a clear yes or no on whether an AI agent is worth it.
Before delivery you know which data, interfaces, and permissions the agent needs, where people decide, and how success is measured.
The agent takes over a defined part of the activity, connected to your systems. The scope grows as the results hold up.
Results, interventions, and failures feed into further development so the agent stays reliable.
What the agent may do, where people decide, and how everything stays traceable is defined together with your business, IT, and data protection leads.
An AI agent is a program that carries out an activity with the help of a language model: it reads requests, works in your systems, and hands decisions to people. It is also called an AI system, an AI assistant, or automation. The difference from a chatbot: the agent acts instead of only answering.
Nothing. The first conversation takes 30 minutes, carries no obligation, and ends with a clear assessment of whether an AI agent is worth it for your activity.
Recurring activities with clear rules and existing data: answering enquiries, capturing documents, checking change requests, assessing photos against criteria. The more time an activity takes today, the sooner it pays off.
No. The agent works in the systems and channels you already use, such as ERP, CRM, ticketing, email, or messengers.
Yes. You decide where data is processed and which model the agent uses: EU cloud, open-source model, or your own infrastructure. The model stays exchangeable.
The agent acts only within agreed permissions. Consequential or unusual cases go to a person. Every action stays traceable.
That depends on the activity and the systems involved. We start with a limited part of the activity and extend it as the results hold up. We settle a realistic timeframe in the first conversation.
Companies where a team spends a lot of time on one recurring activity, regardless of industry or size. We work remotely and on site by arrangement, based in Linz, Austria.
Hasan Alper Yaprak
Founder & Owner
Hasan leads the assessment and the technical delivery himself and remains your named contact. The first conversation is with him.
LinkedInhaygentic e.U. is an advisory and development company based in Linz, Austria. It develops AI agents that take over recurring activities inside a company’s existing systems, with human approval at the decisive points.
Pick a slot: 30 minutes by video, phone, or in person, no obligation. We work out whether an AI agent is worth it for this activity and which next step makes sense. Questions before the first conversation? Send us an email or call directly.
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