Artificial intelligence has long been more than just a topic for the future – it is already being successfully used and further developed today. Many organisations are faced with similar questions:

• Which use cases work in practice? Where does AI bring real added value?
• Why did AI projects fail? Which use cases did not work in practice?
• How do you organise governance over the use of AI?
• And what insights from previous AI projects would you like to share and compare with others in order to secure the next steps and develop new ambitions?

(All images legally acquired)

SITIC invites IT user organisations to present specific AI use cases that have already been successfully implemented, are currently in planning, or even those that were not successful – because, as we all know, we learn the most from our mistakes. Whether initial pilot projects, productive solutions or strategic plans: your practical insight is of great value to other organisations.

Why your participation will benefit your organisation:

• Direct insight into real challenges and solutions
  Lessons learned from other organisations implementing AI, including what worked, what didn’t, and why.
• Benefit from proven methodologies
  Which approaches, frameworks, and tools have been successful in delivering AI applications in other organisations.
• Positioning as an active AI leader
  Participation demonstrates your organisation’s commitment to innovation and technological advancement.
• Constructive feedback and fresh inspiration
  Gain new perspectives from peers who are working on similar challenges and opportunities.
• Valuable professional connections
  Build relationships with business and IT leaders who are making comparable strategic decisions.

The event emphasises real experience, honest lessons learned, and open, collegial exchange on equal footing — not abstract concepts or high‑level plans.

Schloss Liebegg, Gränichen AG

A shuttle service takes public transport users directly from Gränichen to the castle and back in just a few minutes. Interested parties will receive personal assistance.

Presentations / Präsentationen
Englisch or German, according to individual preference / Englisch oder Deutsch, je nach individueller Präferenz.

Plenary and Group Discussions / Plenums- und Gruppendiskussionen
Preferably in German / Vorzugsweise in Deutsch.

Business stakeholders and IT professionals of larger IT user organisations who are responsible for business development, digitalisation, AI application, enterprise and IT architecture, software engineering, compliance and business ethics.

All SITIC Board Members

and very likely

Dr. Laetitia Ramelet
TA Swiss
Foundation for Technology Assessment

Opening Keynote
Prof. Dr. Stephan Aier, SITIC/University St. Gallen

AI User Presentations, 40 minutes each
At least 3 presentations by IT user organisations (maximum of 12 in parallel tracks)

Working Title:
Agent Integration Patterns: From API-First to Enterprise Ready Agentic AI
David Bolli, AXA
< Abstract to follow >

AI Governance – Das Fundament für skalierbare KI-Innovation 
Christoph Kaufmann, BKW
< Abstract to follow >

<– More slots available – For your contribution? –>

Four World Cafés, 2 x 70 minutes
1. Governance & Ethics
2. Digital Sovereignty
3. & 4. Democratic Evaluation
Registered participants can submit topic suggestions before the event.
These will be prioritised at the event, and the top two will be put up for discussion.

AI User Presentations, 40 minutes each
At least 3 presentations by IT user organisations (maximum of 12 in parallel tracks)

Working Title:
AI-Power Solution Delivery
Francesco De Collibus, AXA
< Abstract to follow >

<– More slots available – For your contribution? –>

Four World Cafés, 2 x 50 minutes
1. Governance & Ethics
2. Digital Sovereignty
3. & 4.
As evaluated the previous day.

Summaries & Takeaways

Closing Keynote
Prof. Dr. Reinhard Riedl, SITIC/Berner Fachhochschule

Participants: Email to iva.hollenstein@sitic.org
Presenting Participants: Email to kurt.wehrli@sitic.org

Participation is free of charge for
– SITIC members as part of their annual membership.
– Non-members from IT user organisations with a presentation (2 seats for both days).
– IT service providers with a presentation jointly with an IT user organisation (3 seats for both days).

For non-members from IT user organisations, one seat costs CHF 750/day.

EU Artificial Intelligence Act
Article 3: Definitions

(1) ‘AI system’ means a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments;

[Reference]

Schloss Liebegg – Cinematic 4K – YouTube

@ChatGPT, 24 February 2026, 21:55:
What do AI and witchcraft have in common?

Interesting question 🙂
Here are some thought-provoking parallels between AI and witchcraft:

1. They feel like “magic”
Advanced AI systems like ChatGPT can generate text, images, music, or code in seconds.
To someone who doesn’t understand the underlying mathematics and data processing, it can seem almost supernatural—just like witchcraft once did.

2. Specialized or “secret” knowledge
Historically, witchcraft was associated with hidden knowledge accessible only to initiates.
AI is built on complex mathematics, neural networks, and massive datasets that most people don’t see or fully understand.

3. Pattern recognition and prediction
Witchcraft was often used for divination—interpreting signs to predict the future.
AI analyzes patterns in data to make predictions (weather, disease risk, stock trends, recommendations).

4. Fear and fascination
Both inspire a mix of awe and anxiety:

• Excitement about new possibilities
• Fear of misuse or loss of control
• Moral and ethical debates

Societies once feared witches; today, some fear uncontrolled AI.

5. Input → Output ritual
In a playful sense:

• Spell + incantation → effect
• Prompt + model → response

In both cases, the user performs a structured action expecting a specific result.

Philosophically speaking:
Magic is often just technology we don’t yet understand.