Services / Conversational Agents
Conversational Agents
Not another FAQ bot. We build conversational agents that understand what someone is actually asking, access the relevant data, and respond with something useful.
What's included
- 01Understands intent, not just keywords
- 02Connected to your live data
- 03Multi-turn conversations with memory
- 04Hands off to humans gracefully
How We Work
We look before we build.
We spend time mapping your actual process — not the idealised version, but how work really moves.
The agent gets a clear brief.
Before any code, we define exactly what the agent handles, what it escalates, and how it fails gracefully.
We build with your real data.
We develop and test using your actual documents, systems, and edge cases — not synthetic examples.
We stay until it works properly.
Handoff is not the end. We monitor, adjust, and document so you own the system completely.
FAQ
Frequently asked questions
- What is the difference between a chatbot and an AI agent?
- An FAQ bot matches keywords against a static knowledge document. A conversational agent understands what someone is actually asking, draws on your live data and holds multi-turn conversations with memory. It can also act in your systems, for example by creating a lead in Odoo. If a case needs a person, it hands over with the conversation context.
- What does an AI chatbot for business cost?
- It depends on scope. An agent for one process, such as enquiries, costs €9,900 net at a fixed price as the First agent package. The Company brain package, with its own knowledge base and an agent that acts in your systems, starts at €25,000 net. Support starts at €390 per month. Funding through the Bavarian Digitalbonus is possible; the district government decides.
- Where is my data when an AI agent answers customer questions?
- Your company's knowledge sits in its own knowledge base, separate from the AI model. It belongs to you and stays, even if the model is replaced. With Agentic OS, what the agent may see can be limited to what it needs for its task. Every action is logged and stays traceable.
- How is a customer service agent introduced?
- We first discuss your use case and map the actual process. Then we define what the agent answers and when it hands over to a person. Development uses your real data. One example: at a heating and plumbing company in Bavaria, the time per quote fell from about 3 hours to 20 minutes.
Let’s talk about your process.
If you have a workflow that is eating time it should not, we should talk. Describe what you are working with — rough detail is fine — and we will respond within one business day.
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