AI Agents & Integration
Agents that research, decide and execute tasks. Seamlessly integrated into your existing workflows, not as an isolated chatbot.
AI agents go far beyond simple chatbots. They can research independently, weigh sources, make decisions and carry out tasks within your IT landscape. The difference between a useful agent and a toy lies in the integration, and in quality assurance.
"Deploying AI agents well has a lot in common with leading people: a clear goal, a clear framework, and trust in the execution."
What we develop for you
- Tailored AI agents, for research, case work, classification, triage
- Integration into your IT infrastructure and existing workflows
- RAG systems (Retrieval-Augmented Generation) for your internal knowledge base
- Agent orchestration for complex, multi-step task chains
- MCP integration (Model Context Protocol) for standardised tool usage
- Evaluation and quality assurance of AI outputs, including guardrails
- Governance concepts: when may the agent decide alone, and when does a human need to review?
Before the agent gets to work: pick the right projects
Not every process is equally well suited to an AI agent. The Vellmerk Matrix helps you assess impact and effort correctly, and pick the projects that are truly worth doing.
Read the Guide: The Vellmerk Matrix →Which task in your business would an AI agent take on?
In a no-obligation introductory conversation, we identify the use cases that are genuinely worth pursuing, and the ones where a simpler tool will do.
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