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From Chatbot to Agentic AI: Who Builds Autonomous Workflows in Germany?

A chatbot answers, an agent acts. What agentic AI means in practice, which skills a provider needs and how to recognise them.

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Why Many AI Bots Disappoint

Many companies introduced chatbots in 2023 and 2024 and found that they hardly took any work off anyone's desk. The reason is simple: they are not agents.

  • Chatbot: "Here is the link to the invoice." (passive)
  • Agent: "I created the invoice, posted it in the ERP and sent it to the customer." (active)

What Makes AI "Agentic"?

  • Tool calling: the model calls APIs, databases and other systems, today often via the open MCP protocol
  • Decision logic: clear rules for when the agent acts and when it hands over to a human
  • State: context is kept across several steps and sessions
  • Error handling: failures are caught without derailing the process

The Tool Landscape in Autumn 2026

For code-based projects, providers today mostly work with LangGraph, the Microsoft Agent Framework (successor to AutoGen and Semantic Kernel), the OpenAI Agents SDK, Google's ADK, the Claude Agent SDK or CrewAI. For process automation without much code, platforms such as n8n or Microsoft Copilot Studio are common. Which one fits depends on your existing stack, not on trends.

The Hard Part: Control Without Losing Autonomy

  • Too much autonomy: the agent makes expensive mistakes
  • Too much control: the agent is just a chatbot with extra steps

Good providers define permissions per tool, set limits on cost and number of steps, log every action and build in approvals for critical steps.

Chatbot Development vs. Agent Development

Chatbot developmentAgent development
Prompt engineeringSoftware architecture
Conversation designAPI integration and permissions
Answer qualityState, orchestration and recovery
Manual testingAutomated evaluation and tracing

Typical Use Cases

  • Finance: invoice processing, pre-checking approvals, reconciliation
  • Customer service: resolving tickets end to end, not just answering
  • HR: onboarding workflows, document generation
  • Operations: supply chain monitoring, quality checks

Compliance

Besides the GDPR, the EU AI Act applies. Which obligations affect you depends on the risk class of the use case, and the timeline is being phased in. Ask providers how they document data flows, decisions and human oversight.

Finding Providers

In our directory you can see for each entry whether and when we checked existence, location, website and agent offering. We do not rate quality. Use the checklist to check technical depth yourself.

Next step

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FAQ

Frequently asked questions

What is the difference between a chatbot and agentic AI?

A chatbot answers. An agent acts: it calls tools and APIs, decides on the next step and completes a task across several steps, ideally with clear limits and approvals.

How do I find providers for agentic AI in Germany?

Filter our directory by region and stated multi-agent experience. Each entry shows whether and when we checked the details. Ask every provider for live systems you can look at.

What technical skills does a provider need?

Tool calling, state management, error handling, evaluation and monitoring, plus experience with an orchestration framework such as LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK or CrewAI, and with the MCP protocol for tool access.