AI orientation and use-case selection
Clarify where AI can realistically support your organisation. The work includes goals, constraints, data sensitivity, feasibility and prioritisation of suitable first use cases.
AI Consulting Universities Switzerland
AI consulting for universities and science-related organisations in Switzerland
Sollberger AI Consulting supports universities, research offices, foundations, associations and NPOs in Switzerland in introducing AI responsibly, pragmatically and with a clear understanding of institutional realities.
Swiss higher education and research context
Research management experience
Practical AI implementation instead of tool hype
Focus on responsibility, confidentiality and knowledge transfer
Who this is for
This consulting offer is designed for universities, universities of applied sciences, teacher education universities, research offices, grant offices, foundations, associations, NPOs and other science-related organisations in Switzerland.
The focus is on responsible AI adoption in real institutional settings: workflows, roles, data, confidentiality, human responsibility and practical transfer into daily work.
Typical questions
Where can AI create real value without increasing risk?
Which workflows are suitable for a first pilot?
How can staff learn to use AI responsibly?
What belongs in a Custom GPT or RAG knowledge base?
Which data, documents or tasks require special care?
Services
Pilot projects and implementation support
Small, well-defined pilot projects make opportunities and limits visible. They help teams learn before wider roll-out decisions are made.
Prompt Engineering workshops
Workshops combine practical exercises with reflection on quality, sources, confidentiality, human review and responsible AI use.
Custom GPTs and domain-specific assistants
Custom assistants can support recurring tasks when their purpose, knowledge base, prompts, limits and review process are clearly defined.
RAG knowledge bases and structured organisational knowledge
RAG knowledge bases can make internal knowledge easier to access while keeping scope, source quality, permissions and maintenance visible.
Responsible AI use, governance and training
Responsible AI adoption requires clear safeguards, governance-sensitive implementation, human accountability and training that fits the institutional context.
Practical orientation: Can I use AI for this?
Many AI questions start very concretely: Can I upload this text to an AI tool? Can AI help me summarise, translate or structure a document? Does this require review or approval? The AI traffic-light tool by Sollberger AI Consulting offers a first orientation in a few minutes.
The tool is currently available in German and French.
Open the AI traffic-light toolWhy Sollberger AI Consulting
Dr. Michael Sollberger combines an interdisciplinary background in analytical philosophy, neuroscience and research management with practical AI implementation experience.
He has more than ten years of experience in the Swiss research and higher education context and works at the intersection of clear communication, responsible use, institutional sensitivity and pragmatic implementation.
View profile and experienceDiscuss an AI project with institutional context in mind
If you want to explore responsible AI adoption for your university, research office or organisation, a short first conversation is a useful next step.
info@sollbergeraiconsulting.ch