Finally, more time for core business and better results...

1+1 Workshop

Eine der letzten Schulungen, die Sie wirklich brauchen!

This workshop offers enormous benefits to medium-sized businesses, as it enables them to quickly build AI expertise without large IT departments. Project managers, analysts, and customer service staff save considerable time on recurring tasks through professional prompting.

This training is also useful for managers and decision-makers who need to develop AI strategies, marketing and content teams who create texts daily, and consulting firms that want to increase their efficiency.

The workshop is particularly valuable for companies already observing uncontrolled AI use – it establishes uniform standards, reduces compliance risks, and transforms unplanned AI experiments into strategic competitive advantages. The ROI is usually measurable within just a few weeks.

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Why this workshop can be a game changer for your company

Challenges for you as an entrepreneur

1. The AI Act and its consequences

The AI Act presents German SMEs with significant compliance challenges. Many medium-sized companies must now assess their AI systems according to risk classes and meet corresponding documentation, transparency, and security requirements. Providers of high-risk AI systems are particularly affected, as they must conduct extensive conformity assessments. The biggest hurdles lie in the high costs of compliance, the lack of internal legal expertise, and the complex regulatory landscape. Many SMEs lack the resources of large corporations for specialized legal departments. At the same time, substantial fines are threatened for violations. This could stifle innovation and disadvantage smaller companies that are less able to afford expensive adjustments.

2. Shadow AI in the company

In vielen Firmen herrscht beim ungeplanten KI-Einsatz eine gefährliche Grauzone. Mitarbeiter nutzen ChatGPT, Copilot oder andere Tools spontan für alltägliche Aufgaben, ohne dass die Geschäftsführung umfassend informiert ist oder klare Richtlinien existieren. Typische Probleme: Vertrauliche Firmendaten werden unwissentlich an externe KI-Dienste übertragen, Compliance-Risiken werden übersehen, und niemand prüft die Qualität der KI-generierten Ergebnisse. Es fehlen Schulungen, Datenschutz-Guidelines und Verantwortlichkeiten. Diese "Schatten-KI" schafft rechtliche Unsicherheit, besonders im Hinblick auf den AI Act. Unternehmen riskieren Datenschutzverletzungen, Haftungsprobleme und regulatorische Verstöße, ohne es zu merken. Gleichzeitig verpassen sie Chancen für strategischen, kontrollierten KI-Einsatz.

3. Proneness to errors when employees are overwhelmed

Mittelständische Unternehmen stehen vor erheblichen Herausforderungen durch Mitarbeiterüberforderung und daraus resultierende Fehleranfälligkeit. Begrenzte Personalressourcen führen zu Mehrfachbelastungen, während gleichzeitig der Wettbewerbsdruck steigt. Überlastete Mitarbeiter machen häufiger Fehler, was Qualitätsverluste, Kundenbeschwerden und Nacharbeiten zur Folge hat. Die Work-Life-Balance leidet, Burnout-Risiken steigen und die Mitarbeiterfluktuation nimmt zu. Fehlende Spezialisierung und unklare Prozesse verstärken das Problem. Kostendruck verhindert oft notwendige Investitionen in Personalentwicklung oder zusätzliche Arbeitskräfte. Dies gefährdet langfristig die Wettbewerbsfähigkeit und Unternehmenskultur des mittelständischen Betriebs.

4. The GDPR when using AI prompting

Many companies face a GDPR dilemma when using AI without proper training: Employees often use ChatGPT and similar tools spontaneously, unknowingly transferring personal data to external providers – a clear data protection violation. Typical risk scenarios include customer data in prompts, employee data for HR inquiries, or confidential business information used for text optimization. Without data processing agreements (DPAs) with AI providers and clear usage guidelines, companies risk substantial fines of up to 4% of their annual turnover. The problem: Many lack awareness of the data protection risks associated with prompting. At the same time, medium-sized companies rarely have specialized data protection officers who understand AI-specific compliance requirements. Uncontrolled AI use thus becomes a legal time bomb.

Challenges for your colleagues

1. Mindless, repetitive tasks

Many employees struggle daily with monotonous, repetitive tasks: writing emails, creating reports, summarizing data, or processing standard requests. These "hamster wheel" activities demotivate highly skilled professionals and waste valuable working time. The consequences are disastrous: creativity and strategic thinking suffer, employees feel underchallenged and seek new opportunities – often with other employers. At the same time, time pressure increases as more and more administrative tasks crowd out actual value creation. AI prompting offers a solution: intelligent automation allows routine tasks to be completed in minutes instead of hours. Employees regain time for strategic, creative work and simultaneously develop future-proof digital skills.

2. More and more tasks in less and less time

It's not just medium-sized businesses that suffer from chronic resource shortages: fewer employees are expected to handle an ever-increasing workload. Staff juggle core business activities, administration, customer communication, and digital demands – often without sufficient support or specialized training. The vicious cycle: Overburdened teams work inefficiently, errors accumulate, and work quality declines. At the same time, customer expectations and regulatory requirements are rising. Employees feel rushed, stressed, and overwhelmed by their responsibilities. The lack of time for professional development and process optimization is particularly problematic. While large corporations focus on specialization, medium-sized businesses often have to be "all-rounders." AI prompting can provide relief here: routine tasks are automated, employees gain breathing room, and can refocus on value-adding activities.

Was sind die Ergebnisse
des Workshops?

Sofortige Effizienssteigerung

Unser Workshop steigert ad hoc die Effizienz für die Teilnehmer durch verschiedene Ansätze während des Trainings: - Allgemeine Grundlagen - personalisierte Ansätze. Teilnehmer lernen universelle Techniken wie das STAR-Prinzip (Situation, Task, Action, Result) und Chain-of-Thought-Prompting für komplexe Aufgaben. Spezifische Schulungen fokussieren auf individuelle Rollen: Marketing-Teams optimieren Texterstellung, Entwickler verbessern Code-Generierung, HR-Abteilungen automatisieren Bewerbungsanalysen. Live-Übungen mit eigenen Arbeitsbeispielen schaffen sofort anwendbare Template-Bibliotheken. Durch Peer-Learning und Best-Practice-Austausch entstehen rollenspezifische Prompt-Sammlungen. Die Kombination aus standardisierten Methoden und maßgeschneiderten Lösungen ermöglicht unmittelbare Produktivitätssteigerungen von 30-50% bei KI-gestützten Aufgaben.

Signifikante Verbesserung der Rechtssicherheit

Part of the workshop focuses on systematic training in the responsible use of AI. Participants learn to formulate GDPR-compliant prompts that do not disclose personal data and meet GDPR requirements. The workshop teaches AI Act-compliant practices for high-risk AI systems, including transparency and documentation obligations. Through practical exercises, participants develop an awareness of legal pitfalls and learn secure prompt techniques. This reduces liability risks, strengthens compliance processes, and creates a solid foundation for legally compliant AI use within the company. Legal certainty arises from preventive skills development rather than reactive damage control.

Scalable knowledge building in your company

Our workshop creates scalable knowledge building within your company: - Employees are empowered to use AI tools effectively. - Through systematic training in prompt engineering, your teams develop the ability to formulate precise queries and receive high-quality answers. This multiplies the available expert knowledge within your company—every employee can access specialized knowledge without having to consult experts directly. - Standardized prompting techniques ensure consistent results company-wide. - Employees become "knowledge brokers" who can independently access complex information. This creates a decentralized yet coordinated knowledge network that grows with your organization and continuously expands available expertise.

Information and content

Workshop content

Teil 1: Grundlagen und Rahmen (ca. 2-3 Stunden)

Technische Grundlagen

Einführung in Machine Learning: Supervised vs. Unsupervised Learning
Large Language Models verstehen: Transformer-Architektur vereinfacht erklärt
Wie LLMs "denken": Wahrscheinlichkeiten, Tokens und Kontextfenster
Grenzen und Limitationen: Halluzinationen, Wissensstichtag, Bias

Rechtliche und ethische Aspekte

DSGVO im Kontext von KI: Datenschutz bei Prompts und Outputs
EU AI Act: Klassifizierung von KI-Systemen und Compliance-Anforderungen
Datensicherheit: Was darf in Prompts eingegeben werden?
Urheberrecht und generierte Inhalte
Transparenz und Kennzeichnungspflichten

Prompting Fundamentals

Anatomie eines guten Prompts: Rolle, Kontext, Aufgabe, Format
Grundprinzipien: Klarheit, Spezifität, Strukturierung
Häufige Fehler und wie man sie vermeidet
Prompt-Engineering Techniken: Few-Shot, Chain-of-Thought, Iterative Verfeinerung

Teil 2: Praxis und Anwendung (ca. 3-4 Stunden)

Individuelle Prompt-Entwicklung im Workshop

Teilnehmer stellen ihre konkreten Anwendungsfälle vor
Gemeinsame Analyse: Welche Prompting-Strategie passt zu welchem Use Case?
Live-Optimierung von Teilnehmer-Prompts
Gruppenarbeit: Peer-Review und Verbesserungsvorschläge

Branchenspezifische Vertiefung

Anpassung der Inhalte basierend auf Teilnehmer-Background
Spezielle Herausforderungen je Branche (z.B. Compliance im Banking, Kreativität im Marketing)
Template-Entwicklung für wiederkehrende Aufgaben
Integration in bestehende Workflows

Qualitätssicherung und Erfolgsmessung

Output-Bewertung: Wie erkenne ich gute vs. schlechte Ergebnisse?
Iterative Verbesserung von Prompts
Dokumentation und Versionierung
Monitoring und kontinuierliche Optimierung

Abschluss und Ausblick

Zusammenfassung der wichtigsten Erkenntnisse
Ressourcen für weiteres Lernen
Community-Aufbau und Erfahrungsaustausch
Nächste Schritte für die Implementierung

Requirements

Keine Programmier- oder tiefgreifenden technischen Kenntnisse sind erforderlich - der Fokus liegt auf der effektiven Kommunikation mit KI-Systemen.

Basic technical competence

Participants should be proficient in using computers and web browsers. They must be able to write, copy, and edit text. Basic knowledge of various software applications is advantageous.

Willingness to experiment

An experimental mindset is crucial – participants should be willing to try different approaches and learn from mistakes. Prompting requires iterative work and patience in refining the prompts.

Language skills

Strong written communication skills are important, as precise wording is crucial for successful prompts. Participants should be able to describe complex issues in a structured manner.

Openness to AI technology

Participants should not have any fundamental reservations about AI systems and should be prepared to understand them as a working tool. A constructive approach to the possibilities and limitations of AI is important.

Self-reflection on one's own working methods

The ability to analyze and describe one's own work processes helps to identify relevant use cases for prompting. Participants should be able to name specific challenges from their daily work.

Willingness to learn and patience

Prompting is a skill that develops through practice. Participants should be prepared to invest time in learning and refining techniques.