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AI Agents

AI Agents München

We build custom AI agents — autonomous assistants with tool access, memory, and real decision-making. No toy builders, no prompt hacks. Agents that understand your systems and get work done on their own.

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01

What we offer

Customer Service Agents

AI agents that handle customer inquiries end-to-end — with access to your knowledge base, CRM, and ticketing system. Qualified answers, seamless handoff to humans when needed.

Voice Agents

Speaking AI agents for phone support, appointment scheduling, and qualification calls. Real-time voice processing with Pipecat, ElevenLabs, and modern LLMs.

Tool Use & Function Calling

Agents that autonomously operate APIs, databases, and your internal tools. Research, booking, data reconciliation — with clearly defined permissions and boundaries.

Memory & Context

Agents with persistent memory — vector databases for long-term context, session memory for ongoing conversations. Your agent never forgets what matters.

Internal Knowledge Agents

RAG-based agents that tap into your documents, handbooks, and databases. Employees ask in plain language, the agent returns accurate answers with citations.

Multi-Agent Systems

Complex tasks split across specialized agents that cooperate. A research agent, a writing agent, a review agent — orchestrated and monitored.

02

Our process

01

Use-Case Definition

We clarify what the agent should actually do. Which tasks, which tools, which boundaries. No over-engineering — only what creates value.

02

Architecture & Tool Design

Choose the LLM (OpenAI, Claude, open-source), design tools and data access. Memory strategy and guardrails are planned from day one.

03

Implementation

Built in LangGraph, n8n, or direct SDK integration. Logging, evals, and a clean handoff path to humans are part of the default.

04

Evaluation & Rollout

Agent behavior is measured against real test cases. Gradual rollout, cost and quality monitoring, continuous optimization.

Technologies

OpenAI API Claude API LangChain LangGraph Pipecat ElevenLabs Pinecone Qdrant N8N Python TypeScript PostgreSQL

AI Agents for Munich Businesses

Munich combines Germany's traditional Mittelstand with one of Europe's densest tech ecosystems. In insurance, mechanical engineering, and B2B SaaS it's now clear: an AI agent that qualifies sales inquiries or searches internal documentation isn't a research project anymore — it's a measurable efficiency gain. We build custom AI agents for Munich companies, integrated with your CRM, ERP, and phone system, GDPR-compliant, with a clear ROI.

18,000+

Tech Companies

€95B

City GDP

FAQ

Frequently Asked Questions

Which AI agents do Munich companies typically deploy?

In Munich we often build sales qualification agents, voice agents for appointment scheduling, and RAG-based knowledge agents on internal data — especially in insurance and B2B.

Can an AI agent integrate with our existing systems (SAP, Salesforce, HubSpot)?

Yes. We integrate agents via APIs, webhooks, or n8n directly into your existing toolchain. No rip-and-replace — clean connection to what you already use.

What's the difference between an AI agent and a workflow automation?

A workflow automation follows fixed rules (if X, then Y). An AI agent makes decisions within clearly defined boundaries — it can judge which tools to call and when. That's the difference between a script and a virtual team member.

Ready to get started?

Let's find out in a free initial consultation how we can implement your project.

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