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KI-Agentur Beratung
Consultation
AI Agency

An AI agency that doesn't just advise — it builds

There are plenty of strategies – working applications far fewer. As an AI agency we design your solution and also implement it: chatbots, RAG knowledge bases, automations and AI-powered marketing. The idea becomes an application that actually runs in your day-to-day business.

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AI agency at work: team developing an AI solution with chatbot and automation

Consulting sets the direction — the agency builds the solution

The most common reason AI initiatives stall: it stays at the recommendation stage. This is exactly where an AI agency steps in. We take on the technical implementation and ensure that a concept becomes an application your employees and customers genuinely use.

AI Consulting

Clarifies the Why and What: current-state assessment, use-case prioritisation, business case and risks. The result is a decision basis.

Learn about AI consulting

AI Agency

Clarifies the How: development, integration into your systems and operations. The result is a working solution in production.

What our AI agency delivers for you

Four core areas proven in practice – individually or combined. Which makes most sense first depends on your goals.

Chatbots & Assistants

Digital assistants for your website, support and internal teams – from simple FAQ automation to context-aware assistants connected to your systems.

RAG Knowledge Bases

Your manuals, contracts and notes become searchable. The AI answers based on your own sources rather than from general model knowledge.

Automations

Recurring workflows – such as document processing or data transfers between tools – run automatically, reliably and transparently.

AI-Powered Marketing

From content production to analytics: AI accelerates marketing processes without giving up control over brand and quality.

Two models of collaboration

You decide how closely you want to collaborate. It often starts with a clearly scoped project and grows into ongoing support.

Project model

  • Clearly defined goal with set scope and endpoint
  • Fixed milestones, transparent effort
  • Ideal for a first, tangible AI solution

Retainer model

  • Ongoing support, operations and development
  • Fixed monthly framework instead of individual commissions
  • Ideal when AI becomes a permanent part of your processes

How an AI agency project works

1

Initial consultation

We understand your goal, your systems and your constraints – free of charge and without obligation.

2

Concept & prototype

A tangible target picture or first prototype makes it visible early on whether the solution holds up.

3

Implementation

We develop, integrate and test the solution in close coordination with your team.

4

Operations & expansion

On retainer we operate and improve the application – or hand it over cleanly to you.

Ready for an AI solution that actually works?

In the free initial consultation we identify together which use case makes most sense for you first and what a first prototype could look like.

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Frequently asked questions about our AI agency

Häufig gestellte Fragen zu Hauspreisen

What exactly does an AI agency do?
An AI agency designs and builds solutions based on artificial intelligence – and often operates them too. These include chatbots and assistant systems, RAG knowledge bases on your own documents, process automations and AI-powered marketing. Unlike pure consulting, it doesn't stop at the recommendation: the agency implements the solution technically and brings it into production.
Mehr dazu: AI Automation · AI Consulting
What is the difference between AI consulting and an AI agency?
Consulting answers the Why and What: where is AI worthwhile, which use cases first, what are the risks? The agency answers the How: it develops, integrates and operates the solution. Both roles can be separate or bundled. We work in a way that strategy doesn't end up in a drawer, but results in a working application.
Mehr dazu: AI Consulting
What collaboration models do you offer?
Two basic models have proved their worth. In the project model we implement a clearly scoped solution with a defined goal, scope and endpoint – for example a customer service chatbot. In the retainer model we accompany you on an ongoing basis: we operate, improve and extend existing AI applications and respond to new requirements. Often you start with a project and then transition to a retainer.
What is a RAG knowledge base?
RAG stands for Retrieval-Augmented Generation. Simply put: an AI answers questions not from its general training, but retrieves your own documents, manuals or databases and formulates an answer with source references. This way employees and customers are reliably informed based on your actual knowledge rather than invented information.
How do you ensure the solution fits our requirements?
We start with a free initial consultation and – where sensible – a compact conceptual phase. Before significant development budgets are committed, there is a tangible prototype or clearly described target picture. This way you can see early on whether the solution holds up and adjust course, rather than ending up with an expensive misfire.
Mehr dazu: Free Consultation