AI Systems & Operations
Production AI systems, internal software, RAG and GraphRAG architectures, intelligent data infrastructures, and AI Operations for complex organizational contexts.
AI Research & System Development
AI systems for complex and sensitive domains.
Daniel Autenrieth develops AI systems and researches how intelligence emerges, becomes visible, and can be shaped across technical, biological, and social systems.
Working Mode
Research, AI system development, and organizational practice.
Daniel Autenrieth works on projects where technical systems, domain models, and organizational decisions have to be developed together. His work connects theoretical modeling, software development, and process understanding.
This results in AI-supported knowledge systems, software for specific work and research contexts, intelligent data infrastructures, research tools, and AI Operations structures. Methods for analyzing meaning, preferences, and resonance are part of this work when they are relevant to the specific question.
Fields of Work
Four focus areas.
Organizational Intelligence
Systems and methods that make implicit knowledge, audience understanding, decision logics, and organizational data usable.
Research & Alignment
Research on AI Alignment, Preference Structures, Human-AI Complementarity, Computational Hermeneutics, and responsible human-AI interaction.
Sensitive Domains
AI applications in fields where technical solutions alone are not enough: law, education, medicine, life science, culture, and public organizations.
AI and Knowledge Work
Technical systems in complex contexts.
AI systems change how organizations structure knowledge, prepare decisions, and interpret data. What matters is not only automation, but the relationship between technical, social, biological, and organizational systems.
Understand
The problem, data situation, domain assumptions, risks, and value questions are clarified.
Create structure
Models, procedures, and data structures emerge from unclear bodies of knowledge.
Develop
Analysis becomes systems, methods, or working forms.
Systems
What Daniel works on.
Make organizational knowledge usable
When knowledge lives in conversations, data, experience, reviews, or internal processes, systems can make it visible, structured, and usable for further work.
Integrate AI into work processes
AI is not introduced as a single tool, but as part of software, data flows, analyses, workflows, and decision processes.
Open up domain complexity
Legal proceedings, medical data, research findings, or educational processes are translated into structures that reveal relationships, uncertainty, and decision foundations.
Develop intelligent data spaces
Data from different sources is transformed into structures that enable analysis, dashboards, presentations, and agentic evaluation.
Turn research into procedures
Methods for analyzing meaning, preferences, and resonance become systems that collect, structure, and feed insights back into development or decisions.
Build new development spaces
Recurring problem classes become dedicated systems, companies, and development spaces.
Companies
Companies and development spaces.
Alongside Autenrieth & Partner, Daniel Autenrieth has built companies in which recurring research and development questions are continued as dedicated systems.
Next Step Culture
Next Step Culture was founded by Daniel Autenrieth and Claudia Baumbusch. The company develops AI systems and workbench structures for culture, universities, organizations, HR, and research. Reson8 is one building block for connecting conversations, knowledge explication, qualitative evaluation, and application in learning, research, and organizational processes.
nextstepculture.de
Heartful Science
Heartful Science is a public-facing project by Pulse Data Insight, a company founded by Daniel Autenrieth and Prof. Dr. Thomas Zerm. Pulse Data Insight develops AI systems in medical and life-science-adjacent contexts, especially where prevention, behavior, biological data, and personalized health journeys come together.
heartfulscience.comContexts
Selected clients and partners.
Clients and partners
Research partners
Current Research
Alignment questions in AI systems.
The current research focus is on technical and educational-theoretical alignment of AI systems. At the center is the question of which value, knowledge, and preference structures become visible in Large Language Models and how they can be investigated empirically.
MeasurementModelingAlignment question
Current publicationsFull list
- Different Models, Different Values: Educational Preference Structures across Alignment Methodologies in Large Language ModelsCSEDU 20262026
- How AI Systems Think About Education: Analyzing Latent Preference Patterns in Large Language ModelsarXiv2026
- AI For Whom? Participation, Power and Educational Pathways in the Age of Artificial IntelligenceEuropean Journal of Education, 61(2)2026
- Künstliche Intelligenz und inklusive Bildung - Empirische Perspektiven auf Einstellungen und Nutzungsmuster von LehrkräftenMedienimpulse, 64(1)2026
- From Metrics to Meaning: Large Language Models and the Computational Turn in Embodied Educational ResearchFrontiers in Language Sciences, 52026
Talks and workshops.
Formats on AI Alignment, bias, Preference Structures, AI, and organizational practice. The full list is available on the talks page.
All talks and workshops- 18.05.2026Different Models, Different Values: Educational Preference Structures across Alignment Methodologies in Large Language ModelsInternational Conference on Computer Supported Education, Benidorm, Spain
- 20.02.2026Künstliche Intelligenz und Inklusive Bildung - Empirische Perspektiven auf Haltungen und Nutzungstypenifo-conference, University of Bremen
- 12.01.2026Wie entsteht Bias in KI-Systemen?University of Flensburg
- 01.12.2025KI als Katalysator transformativer BildungsprozesseDIE Forum Bonn
- 30.09.2025Menschliche Existenz, (Nicht)Nachhaltigkeit & Künstliche Intelligenz - Erziehungswissenschaftliche Perspektivenopening conference der DGfE-Arbeitsgemeinschaft Nachhaltigkeit beziehungsweise Nicht-Nachhaltigkeit und planetare Zukünfte, with Dr. Jan-René Schluchter