AI Agents for your organisation
AI agents that execute tasks autonomously: searching company data, operating systems and taking action — with clear boundaries and controls.
An agent acts; a chatbot merely answers
The difference between an ordinary chatbot and an AI agent is action. An agent can call tools and APIs, consult company data and execute multi-step tasks — for instance holding a conversation, understanding the user's situation and then automatically choosing the right follow-up action. That is exactly how we built the navigation assistant for Burgerkracht: a conversational agent that uses knowledge-base-driven retrieval to dynamically fetch relevant information and automatically refer visitors to the most relevant groups or pages.
What we do
Conversations that understand context
Natural dialogue in which the agent recognises user intent and situation instead of matching keywords.
Tool and API integration
Agents can operate systems: retrieve data, update records, create tasks or trigger processes.
Access to company data via retrieval
With a knowledge-base architecture (RAG), the agent answers based on your own documents and information, not general knowledge.
Boundaries, approvals and logging
We define per agent what it may do autonomously and where a human must approve — logging every action.
Production concerns handled
Quality monitoring, cost control, abuse prevention and model updates are part of our approach.
When is this right for you?
- Visitors or employees ask similar questions repeatedly, yet the right answer depends on their situation.
- A task requires multiple steps across different systems.
- You want availability outside office hours without losing quality.
How we work
Define tasks and authority
Together we determine which tasks the agent executes, which sources it consults and which actions need human approval.
Connect knowledge base and tools
We expose documentation, data and systems so the agent uses factual, current information.
Build and test the agent
We build the agent and test conversations and actions against realistic scenarios from your practice.
Deploy and monitor
After launch we monitor quality, cost and usage, refining behaviour and knowledge as needed.
Related case studies
Let's discuss your project
Whether you want to build something new or optimise existing processes: get in touch and let's start a conversation.
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