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AI that relieves, not replaces.

Use AI legally. Integrate structurally. Regain time.

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The use of AI opens up new opportunities, but also raises new questions. Fosanetix supports you in integrating AI responsibly and in a structured way into existing work processes. The focus is on organizations with particular requirements for data protection, accountability, and traceability—especially in healthcare and education, as well as public authorities, chambers, and comparable institutions.

AI in Healthcare

A large part of working time in healthcare is not spent on direct care, but on documentation, administration, and organizational processes. These areas in particular offer significant potential for efficiency gains through the targeted use of Artificial Intelligence.

Noticeable relief can be achieved especially in administrative processes, data collection, as well as in billing and insurance structures. At the same time, measurable improvements in speed and quality are also emerging in communication, diagnostics, and resource management.

However, a structured application is a prerequisite: only when technologies are meaningfully integrated into existing processes do sustainable effects arise, leading to more time for the actual task of healthcare: the personal care of patients, their medical supply, and addressing individual needs.

AI in Education

A significant part of the workload in the education sector (from primary schools to secondary schools and vocational schools to universities and private educational institutions) does not arise from direct knowledge transfer, but from preparation, grading, administration, and organizational processes. It is precisely in these areas that there is central potential for the use of Artificial Intelligence.

Significant efficiency gains can be achieved especially in the creation of teaching materials, in feedback and evaluation processes, as well as in administrative and organizational tasks. At the same time, the use of AI opens up new possibilities for individual support and data-driven management of learning processes.

The decisive factor here is a thoughtful integration into existing structures. If processes, competencies, and technologies are meaningfully coordinated, noticeable relief effects arise, creating more freedom for what education is all about: individual support, personal care, and sustainable learning.

A large part of working time in healthcare is not spent on direct care, but on documentation, administration, and organizational processes. These areas in particular offer significant potential for efficiency gains through the targeted use of Artificial Intelligence. Noticeable relief can be achieved especially in administrative processes, data collection, as well as in billing and insurance structures. At the same time, measurable improvements in speed and quality are also emerging in communication, diagnostics, and resource management. However, a structured application is a prerequisite: only when technologies are meaningfully integrated into existing processes do sustainable effects arise, leading to more time for the actual task of healthcare: the personal care of patients, their medical supply, and addressing individual needs.

A significant part of the workload in the education sector (from primary schools to secondary schools and vocational schools to universities and private educational institutions) does not arise from direct knowledge transfer, but from preparation, grading, administration, and organizational processes. It is precisely in these areas that there is central potential for the use of Artificial Intelligence. Significant efficiency gains can be achieved especially in the creation of teaching materials, in feedback and evaluation processes, as well as in administrative and organizational tasks. At the same time, the use of AI opens up new possibilities for individual support and data-driven management of learning processes. The decisive factor here is a thoughtful integration into existing structures. If processes, competencies, and technologies are meaningfully coordinated, noticeable relief effects arise, creating more freedom for what education is all about: individual support, personal care, and sustainable learning.

AI Savings Potential in Percent

Administrative Processes33 %
Documentation & Data Collection25 %
Communication & Patient Management10 %
Diagnostics & Decision Support27 %
Process Management & Resource Planning15 %
Billing, Claims & Insurance Administration43 %
0 %
25 %
50 %
0 %
25 %
50 %

The values shown represent realistic potentials, not general guarantees. How effectively these work in practice depends significantly on how structured AI is introduced, integrated into existing processes, and applied in daily work, and whether the necessary competencies, a basic understanding, and the legal framework are considered from the outset.

Based on analyses and studies from McKinsey, JAMA Network Open, WHO, npj Digital Medicine and OECD.

McKinseyJAMA Network OpenWHOnpj Digital MedicineOECDWHO (Ethics & Governance)McKinsey Global Institute

AI Savings Potential in Percent

Administrative Processes20 %
Lesson Preparation & Content Creation30 %
Grading & Performance Assessment25 %
Communication & Organization15 %
Individual Support & Learning Analysis20 %
Education Management & Institutional Control20 %
0 %
25 %
50 %
0 %
25 %
50 %

The values shown represent realistic potentials, not general guarantees. How effectively these work in practice depends significantly on how structured AI is introduced, integrated into existing processes, and applied in daily work, and whether the necessary competencies, a basic understanding, and the legal framework are considered from the outset.

Based on analyses and reports from OECD, UNESCO and the McKinsey Global Institute.

OECD (Education at a Glance)OECD (Skills)UNESCO

The values shown represent realistic potentials, not general guarantees. How effectively these work in practice depends significantly on how structured AI is introduced, integrated into existing processes, and applied in daily work, and whether the necessary competencies, a basic understanding, and the legal framework are considered from the outset.

Responsible AI use needs clear structures

With Article 4 of the EU AI Act, AI literacy is expressly anchored as a regulatory requirement for the first time. Organizations must ensure that persons who use AI systems or are responsible for their use have adequate AI literacy.

In practice, however, successful AI use goes well beyond individual regulatory requirements. Clear responsibilities, suitable processes, and sufficient AI literacy create the foundation for safe, responsible, traceable, and long-term viable AI use.

The Modular Framework

A system of competence, governance, documentation, and practical implementation. Matched to your organization's starting point.

Get in touchModule overview

We meet you where you are

Not every organization needs every building block to the same extent. In an initial conversation we clarify together which combination fits your situation.

EntryBuild foundations

Building basic AI competence and first orientation for a safe and responsible use of AI in everyday work.

Build-upEstablish structures

Integrating AI into suitable processes and building responsibilities as well as traceable documentation structures.

DeepeningUse potential sustainably

Targeted automation of suitable processes and development of an individual overall concept for a long-term AI strategy.

A system,
not an isolated measure

Using AI brings new requirements. Beyond handling AI safely, organizations need clear responsibilities, traceable decisions, and suitable structures for everyday work. The modular framework from Fosanetix connects these building blocks into a holistic system instead of isolated measures. Each building block can be implemented alone or in combination.

Deploy AI legally & structurally
AI competence & training
Roles & responsibilities
Documentation & auditability
Decision & process structures
Automation & process relief
Individual AI overall concepts

The building blocks

AI competence & training

Individual training for teams and leaders, matched to prior knowledge and everyday work. Foundation for a safe handling of AI systems.

Roles & responsibilities

Clear accountabilities for decisions around AI use. This creates orientation and reduces uncertainty in everyday work.

Documentation & auditability

Traceable documentation of AI use, decisions, and processes. Foundation for legal certainty and auditability.

Decision & process structures

Structures that make decision paths around AI systems traceable. They connect professional and legal requirements.

Automation & process relief

Partial automation of documentation and routine processes where it makes sense. Relief without giving up responsibility.

Individual AI overall concepts

An overarching concept for organizations with broader needs. Connects all building blocks into a robust structure.

Which combination fits you?

That is best clarified in a personal conversation.

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About us

Almuth Fosanelli
Almuth Fosanelli

Founder & AI Manager, Fosanetix

Artificial intelligence is changing how we work. For it to truly relieve workload, more than individual new tools is needed. It takes orientation, clear structures, and a responsible approach to the possibilities and limits of AI.

Since 2022 I have been working intensively with artificial intelligence, and especially with the question of how it can be used responsibly and sustainably. My focus is not on introducing as many AI applications as possible, but on developing solutions that work long-term and create real value.

My interdisciplinary background helps me connect technical, legal, and human perspectives. Studying Empirical Cultural Studies and Journalism taught me to analyze complex relationships, question them critically, and communicate them clearly. This way of working still shapes my projects today. This foundation is complemented by my qualification as a certified AI Manager and as a certified AI Expert of the AI Network DACH. Depending on the project, I work with a network of experienced experts from different fields. This means each organization receives exactly the competencies it needs for its individual challenge.

For Fosanetix, Responsible AI means looking at technological possibilities, regulatory requirements, and the human perspective together. This creates solutions that are professionally sound, practical, and viable in the long term.

Create orientation

We make complex requirements understandable and support you in making informed decisions for the responsible use of AI.

Take responsibility

For us, responsible AI use means deploying technology transparently, traceably, and in line with organizational as well as regulatory requirements.

Strengthen future readiness

Together with you, we develop robust structures that adapt to your requirements and give you long-term orientation and confidence in how you handle AI.

Get to know us in a conversation

Schedule a conversation

Frequently asked questions

Answers on the framework, collaboration, and legal background.

Does this make sense even if we are just starting out?

Yes. Especially then, a clear structure helps ensure AI is not introduced “wildly”, but safely and meaningfully.

Does everything have to be automated immediately?

No. Automation is optional and only makes sense where it relieves workload and quality remains ensured.

Is Fosanetix only about training?

Training is one part, but always embedded in structure, documentation, and practical implementation.

Is this only relevant for large organizations?

No. Smaller institutions also benefit from clear structures—especially when resources are limited and responsibility must be clearly defined.

Does Fosanetix provide legal advice?

We do not replace legal advice. We support organizations in structurally implementing regulatory requirements such as the EU AI Act and integrating them into processes in a traceable way.

How long does it take to introduce an AI structure?

That depends on the scope and starting point. In many cases, first clear structures can be developed and anchored within a few weeks.

Do we already need to be using AI to work with Fosanetix?

No. Especially before introducing AI, structured preparation helps avoid later risks and extra work. In most cases, clear regulation and documentation are legally required even before introduction.

What distinguishes Fosanetix from classic AI workshops?

Our focus is not on the individual tool, but on sustainable integration into your organization—including structure, documentation, and responsibility. We look at the big picture and do not treat training, documentation, and automation as isolated measures.

Are there funding opportunities for collaboration?

In many cases, yes. Depending on the federal state and industry, digitalization or further-education programs can be used. We are happy to provide orientation.

How quickly can we start?

After an initial consultation we clarify the suitable entry point and scope. Initial consultations are limited, so do not hesitate—book your free initial consultation today.

Don’t see your question? Feel free to contact us directly.

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