Your path with the AI-COMPASS

From AI impulse to suitable use case

You are not yet sure where AI can provide the greatest benefit in your company? The KI-COMPASS helps you identify, evaluate, and prioritize suitable AI use cases step by step.


Clarity for AI strategy and implementation

What does a good AI strategy look like? What is the current status of the European AI Act? What skills need to be built in the company and what structures need to be adjusted to remain competitive? Here you will find answers to your questions.

360° view: from data to funding

Navigate through the relevant topics around AI applications: data & ethics, financing & funding, culture & mindset, ecosystem & organization, regulation, strategy & talents as well as technical prerequisites.

The BAIOSPHERE KI-COMPASS 

How it works: Turn the arrows to navigate through our ten focus topics. With a click, you'll be taken to the sub-page with more information.

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KI-Kompass

STRATEGY

Strategic planning secures competitive advantages and includes setting goals, identifying use cases, and integrating AI into the company's overall strategy.

Data

Data is the foundation for any AI system. Its quality and integrity determine the possibilities and performance of AI applications.

ECOSYSTEM

In AI use and implementation, collaborations can bring many advantages. A strong ecosystem promotes innovation through the transfer of knowledge, resources, and technologies.

FINANCING AND FUNDING

The costs of introducing AI vary between free versions and substantial investments for developing own solutions. Various funding options exist to alleviate the investment burden.

CULTURE AND MINDSET

An open and willing-to-learn corporate culture is fundamental to successfully implementing AI. The focus is on reducing reservations and fears and involving the workforce in the transformation process.

Organization

The use of AI requires a well-thought-out organizational structure. This forms the basis for the sustainable development of AI technologies and effective collaboration between different departments and interdisciplinary teams.

Technical requirements

A robust and flexible infrastructure includes hardware and software components, network infrastructure, and development processes to successfully implement, train, test, and use AI models.

Talents and skills

The development and integration of AI require a qualified team and specific knowledge. This includes both technical skills and strategic and infrastructural understanding.

Law and regulation

Compliance with legal requirements and standards is essential for the use of AI. The EU AI Act has created guidelines for AI solutions that will apply in all EU countries when creating and using AI.

Ethics

Ethics in AI encompasses the implementation of moral principles to realize the benefits of AI and reduce risks. Topics like transparency, fairness, and avoidance of bias, explainability, and data protection are essential in this context.

Entrance to a tourist information center with a chatbot interface on screen, displaying German text and offering assistance.

AI Use Case

AI-based guest communication

How Regensburg Tourismus GmbH, together with branchly GmbH, uses an AI-supported guest service for chat, search, and telephony, based on a shared, verified knowledge base.

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AI in practice

Are you already successfully using AI? Share your use case in the BAIOSPHERE, gain visibility, and inspire other companies in Bavaria.

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Funding & projects

Research Funding for Agentic and Secure AI

Research funding for new AI technologies: The Amazon Research Awards 2026 support projects on agentic AI, security, hardware optimization, and multimodal perception with financial resources and AWS credits.
Nahaufnahme eines Computerchips mit leuchtender Aufschrift ‚AI‘, eingebettet in eine Leiterplatte mit blauen Schaltkreisen, symbolisiert künstliche Intelligenz und moderne Technologie

Funding & projects

fortiss is looking for SMEs for secure AI agents

Joint research project aims to develop trustworthy and EU-AI-Act-compliant agent systems for practical use
Three European Union flags on poles in front of a modern glass building with a curved facade under a blue sky.

Funding & projects

Soofi S: European AI base model starts pilot phase

Companies can test the new sovereign open-source AI model for industrial applications

What is the KI-Compass?

The KI-Compass of the Bavarian AI Agency supports companies and organizations in preparing the introduction of Artificial Intelligence in a structured manner. It highlights which strategic, technical, organizational, and legal questions should be considered.

Who is the KI-Compass aimed at?

The KI-Compass is aimed particularly at small and medium-sized enterprises (SMEs) but can also be used by larger companies, public institutions, associations, or start-ups.

Does my company need to already use AI to use the KI-Compass?

No. The KI-Compass is expressly aimed at companies that are just looking to orient themselves and have not yet implemented any concrete AI projects.

Are there funding opportunities for AI projects?

Yes. There are various funding programs at the state, federal, and EU levels. These support, for example, consulting, research, development, or the introduction of new technologies.

How can a company start with AI without taking great risks?

Small, clearly defined pilot projects with concrete benefits are advisable. This allows experience to be gained and potential assessed before making larger investments.

How does the KI-Compass specifically support companies?

The KI-Compass provides orientation, structures central questions, and helps companies evaluate their own status and identify areas of action for the introduction of AI.

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AI Readiness Test

Test the AI maturity level of your organization in less than 5 minutes. In 10 thematic areas from strategy to data competence.

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