We support organisations in the introduction, development and use of AI systems …
… and cover everything necessary: the technical, the strategic, the important training courses and process support
AI consulting
1. Create guidelines for the workforce
Company employees are already using AI systems to carry out their professional tasks. This may be done without the necessary knowledge (protection of sensitive data, GDPR, etc.). It is therefore important to organise use of these systems.
2. Realise quick wins
For some activities, time savings of up to 40 % are already possible today. These ‘low hanging fruits’ can be picked after brief training sessions.
3. Building up AI expertise
AI knowledge will be of strategic importance for every organisation. The development of knowledge about AI systems and their application should therefore begin as soon as possible.
4. Developing an AI strategy
The AI strategy must first ask and then answer crucial questions for the future of the company, taking into account the legal framework and the security of sensitive data.
Guidelines
Guidelines on the use (or non-use) of AI systems should be developed and communicated as quickly as possible.
Prohibitions
A prohibition on the use is possible under labour law, both in general and for certain areas. However, due to the expected increase in quality and productivity, companies should encourage the use of AI systems. For this reason alone, a general ban does not make sense. It prevents innovation and could soon lead to demotivation among the workforce. It is also difficult to control.
In some sensitive areas, however, a prohibition may be right and important and will probably also meet with acceptance. These areas need to be identified and communicated in detail. This involves particularly sensitive data and information, company secrets, etc.
Licenses
The use of OpenAI’s ChatGPT in the basic version or ChatGPT Plus cannot be in the interests of the company for reasons of data protection. This also applies to the basic or free versions of other manufacturers. The ChatGPT team licence is currently a good choice for the general use of generative AI. This licence costs €30 per person.
If a company/organisation uses MS Azure, most OpenAI AI tools can also be made available to the workforce via it.
Communication
Guidelines should established which regulate clearly and in detail in which form, to what extent, in which areas and with which instruments the use of AI systems is desired/authorised. These guidelines should be communicated both in writing and in the form of short training sessions/introductions.
Mandatory labelling
It is essential for the company to know which content was generated with AI systems. Therefore, all content created by AI systems must be labelled as such. All content revised by AI systems must also be labelled as such. This must be done in a way that makes it clear to the company in the future what has been created by AI systems – and what has not.
Quick Wins
We suggest the following procedure:
Communication to the entire workforce: Anyone who wants to use/test AI systems should register and will then be issued with a licence. AI systems may not be used without or outside of this licence. This ensures that the company always knows who is using AI.
The next step is training. In our experience, a three-hour training course is sufficient:
- Access to the AI system, explanation of the system
- Rules of conduct: Data protection etc.
- Who can see what I communicate with the system?
- Tips and tricks for use, examples
- Success through better prompting of the system
Anyone using the AI system should report, e.g. monthly::
- What have I done with AI?
- Which of these was particularly successful?
- What didn’t work so well?
- What would I definitely recommend?
- My ideas for the future use of AI in the company.
These simple measures and small investments can lead to significant increases in quality and productivity in some areas of the company (depending on the sector and specific activity). Some of these measures are also the first step towards building up AI expertise.
In our experience, it is particularly promising to give interested company employees the space and time to experiment with the AI systems. For some, this sparks a curiosity that virtually guarantees the discovery of new application possibilities. Nobody is better placed to discover and develop AI applications for the company than its own employees!
So it’s quite simple: provide licences, train them, let them experiment!
AI expertise
Building up knowledge about AI and AI applications should be started as soon as possible. On the one hand, the steps outlined under »Quick Wins« make this possible. On the other hand, this also requires a structured approach:
A separate AI working group or department should be set up, with the following company departments involved:
- Human resources (implementation, training)
- IT (installation, administration)
- Legal department (ensuring legal compliance)
- Management (due to the strategic importance)
- Marketing (because of the quick wins that can be achieved there)
The task of the working group or department is to build up, bundle and distribute AI knowledge within the company. It needs a centralised overview of AI activities throughout the company, especially if AI is also used outside of generative AI (to which this concept is limited), e.g. in technology, production or product development.
Another task is to compile or collect the necessary information for the subsequent strategy process.
AI strategy
Change, transformation, disruption?
The first step is to assess the extent to which both the industry as a whole and the company itself, and in particular the individual business units, are affected by AI systems. This assessment must then be continuously adapted to the technological developments in AI.
The AI strategy must answer the following questions for the future, taking into account the legal framework and the security of sensitive data:
- What ethical guidelines underpin our AI systems?
- Which activities will continue to be carried out by people?
- Which by humans with AI support?
- Which by AI – with human control?
- Which specialists do we need for this?
- What qualifications do they need?
- If we can achieve productivity increases as outlined in 1.5 – do we want to increase output or reduce the workforce?
- How can the imminent revolution in learning be integrated?
- When does all this start?
Some of our suggestions/considerations:
- Start quickly, but bring about change carefully, there is plenty of time.
- But: Observe the deadlines in the AI Act! (See section 1.8.3.2.) For some AI systems, it certainly makes sense to have them implemented by June 2026.
- Be careful with large AI investments: What is only possible today with a considerable investment of resources may be offered in a year’s time as a cost-effective standard application that is also GDPR-compliant.
- Get the workers’ council on board as early as possible in the process. This is mandatory for some measures anyway (see section 1.8.1.2), but certainly helpful for others. It is also about reducing fears.
- Create space and time for employees to experiment with AI as soon as possible. Accompany the deployment, draw conclusions – develop/adapt strategy.
- Openly communicate the use of AI systems – also as an employer branding measure.
- Many of the decisions to be made require both legal and technical expertise – and above all a combination of the two.
AI academy
Accompanying training
Staff training is crucial to the success of policies, strategies and the realisation of quick wins. We develop customised training courses as required and can draw on a wealth of workshops and training courses.
Company-internal workshops
We offer a variety of workshops that we hold in companies, the list of topics can be found below.
Open workshops and training
We also offer some of our workshops as open workshops. You can find a list of our currently advertised workshops below.
Courses and training programmes
We have combined a series of harmonised workshops into complete training courses with different focal points.
More information is available on request.
Company-internal workshops
Here is a list of our in-house workshops, of course we adapt the content to the needs of the organisation. We charge EUR 1,500 for a half-day and EUR 2,500 for a full day.
AI – a first introduction
half days or full days – as demanded
Topics:
- Definition of AI: AI, AGI, GAI, etc.
- Brief overview of the history of AI
- What is a LLM?
- Generative AI – the technology of the current hour
- the power of AI chatbots
- Comparison: ChatGPT, Claude, Gemini, LlaMa, Grok, Mistral
- Tips and tricks for ChatGPT & others
- Tools: Create texts, images, presentations, videos with AI tools
- Possible Quick Wins
- Current results of studies and surveys
- Problem areas: Hallucinating, data protection
- Legal: GDPR and AI Act
- Practical exercise: working with selected tools on your own laptop
Chatbots!
Create chatbots and train them with your own data
full days
Topics:
- Definition of AI
- Definitions: AI, AGI (HLMI), GAI, RAG, etc.
- Brief overview of the history of AI
- What is a LLM?
- Generative AI – the technology of the current hour
- the power of AI chatbots
- Revolution in teaching and personnel development
- Comparison: ChatGPT, Claude, Gemini, LlaMa, Grok, Mistral
- Problem areas: Prejudice, hallucination, data protection
- Advantages and disadvantages of the various systems
- 5 steps to your own chatbot: Create, train, system prompt, test, Q&As
- Correct prompting
- Practical exercise: create your own chatbot and train it with data
AI in HR
full days
Topics:
- Definition of AI
- Definitions: AI, AGI (HLMI), GAI, NLP, etc.
- Outlook: What is in store for us – in general and in HR? What already exists?
- Practical exercises:
Which LLMs are available and how can they be used?
ChatGPT: First steps, user query (part 1) - Legal framework conditions
- GDPR and AI Act
- Which AI tools can I already use in my company?
- Company guidelines: AI and sensitive data
- AI providers at a glance
- Open source solutions
- AI tools beyond text: Image generation, presentations, sound, video
- Problems with AI tools: prejudices, hallucination
- Practical exercises:
ChatGPT: User Query (Part 2)
System prompts - Possible applications in HR:
Knowledge management systems
Revolution in learning and teaching? - AI chatbots practical exercises: Create chatbots yourself, train them with your own data and set parameters
AI for executives
full days or two days
Topics:
- Definition and outlook
- Definition of artificial intelligence (AI)
- Overview of the basic concepts of AI: AI, AGI, GAI, ML, LLM, NLP, etc.
- Outlook: What is in store for us – in general and as managers?
- Practical exercise: What LLMs are there and how can they be used?
- Possible AI applications in your company
- Revolution in learning and teaching?
- Professional activities for which AI tools can already be used very well today
- AI tools: Current AI tools for creating texts, images, etc.
- Practical exercise: ChatGPT & Co: First steps
- Legal framework conditions: GDPR and AI Act
- Labour law, copyright
- Creating guidelines: Guidelines for the use of AI by company employees
- Realise quick wins: Allow employees to experiment with AI tools within a controlled framework
- Build up AI expertise in the company through communication, best practice
- Create an AI corporate strategy with a view to people, organisation and technology
- AI and ethics: a postulate for human-centred AI?
- AI action premises for management
- Design approaches for the introduction of AI
- Practical exercise: Promptathon – a playful approach to AI in a team
- AI chatbot: the tool of the currenthour
- Possible applications
- Practical exercise: creating your own chatbot
AI for Marketing and Sales
half days or full days
Topics:
- Definition of Artificial Intelligence (AI)
- Overview of the basic concepts of AI: AI, AGI, GAI, ML, LLM, NLP, etc.
- Outlook: What is in store for us – in general and in marketing?
- Practical exercise: What LLMs are there and how can they be used in
- Marketing activities for which AI tools can be used very well
- Current AI tools for creating texts, images, avatars, etc.
- Practical exercise: ChatGPT & Co: First steps
- Legal framework conditions: GDPR and AI Act, copyright
- AI chatbot: the tool of the current hour
- Practical exercise: Promptathon – playful approach to AI in a team
- Practical exercise: creating your own chatbot and using it for social media posts
Texting with AI
half days
Topics:
- Definition of artificial intelligence (AI)
- Overview of the basic concepts of AI: AI, AGI, GAI, ML, LLM, NLP, etc.
- Creating texts with AI systems: Getting started
- AI tools for text creation: ChatGPT, Claude etc.
- Practical exercise: Creating texts with AI tools
- Prompting
- Tips for good texts
- Using AI tools to improve existing texts
- Developing the joy of writing texts with AI systems
- Legal framework conditions: What can I use texts created with AI systems for?
- Labelling obligation?
Create images and videos with AI
half days
Topics:
- Definition of artificial intelligence (AI)
- Image generation with AI: Getting started
- Comparison of providers/systems: MS Copilot/ChatGPT (Dalle-3), Midjourney, Ideogram, Leonardo, Stable Diffusion
- Practical exercise: Creating images with one of the tools
- Tips for prompts
- Editing created images
- Have images analysed with AI tools
- Copyright and personal rights: What can I use the created images for? Can I protect them?
- Labelling obligation?
- Video generation with AI: getting started
- Comparison of providers/systems
- Practical exercise: Creating videos with one of the tools
Open Workshops
Here is a list of our current open workshops.
Venue and duration: Vienna, all day, 9.00 am to 5.00 pm
Maximum number of participants: 10 persons
Costs: 400,- EUR excl. 20 % VAT incl. catering
Please bring a laptop!
Registration: office@superintelligenz.eu or phone: 01/786 37 81
Chatbots!
dates on request
Create chatbots and train them with your own data
- Definition of AI
- Definitions of terms: AI, AGI (HLMI), GAI, RAG, etc.
- Brief overview of the history of AI
- What is an LLM?
- Generative AI – the technology of the hour
- the power of AI chatbots
- Revolution in teaching and personnel development
- Comparison: ChatGPT, Claude, Gemini, LlaMa, Grok, Mistral
- Problem areas: Prejudices, hallucinating, data protection
- Advantages and disadvantages of the various systems
- 5 steps to your own chatbot: creating, training, system prompt, testing, Q&As
- Correct prompting
- Practical part: create your own chatbot and train it with data
AI in HR
next date: 6th of December 2024
- Definition of AI
- Definitions of terms: AI, AGI (HLMI), GAI, NLP, etc.
- Outlook: What is in store for us – in general and in HR? What already exists?
- Practical exercises:
Which LLMs are available and how can they be used?
ChatGPT: First steps, user query (part 1) - Legal framework conditions
- GDPR and AI Act
- Which AI tools can and may I already use in my company?
- Company guidelines: AI and sensitive data
- AI providers at a glance
- Open source solutions
- AI tools other than text: Image generation, presentations, sound, video
- Problems with AI tools: prejudices, hallucination
- Practical exercises:
ChatGPT: User Query (Part 2)
System prompts - Possible applications in HR:
Knowledge management systems
Revolution in learning and teaching? - AI chatbots practical exercises: Create chatbots yourself, train them with your own data and set parameters
AI – a first introduction
dates on request
- Definition of AI: AI, AGI, GAI, etc.
- Brief overview of the history of AI
- What is an LLM?
- Generative AI – the technology of the hour
- the power of AI chatbots
- Comparison: ChatGPT, Claude, Gemini, LlaMa, Grok, Mistral
- Tips and tricks for ChatGPT & Co.
- Tools: Create texts, images, presentations and videos with AI tools
- Possible quick wins
- Current studies and surveys
- Problem areas: Hallucinating, data protection
- Legal issues: GDPR and AI Act
- Practical part: working with selected tools on your own laptop
AI in education and training
- Definition of artificial intelligence (AI)
- Overview of the basic concepts of AI: AI, AGI, GAI, ML, LLM, NLP, etc.
- The revolution in learning
- The revolution in teaching
- Practical exercise: Which LLMs are available and how can they be used in the classroom?
- AI tools for the preparation of teaching and lesson units
- AI tools for face-to-face teaching
- AI tools for online teaching
- Practical exercise: Using AI tools for teaching yourself
- Legal framework conditions: GDPR, copyright
- AI chatbot: the all-in-one tool
- Practical exercise: creating your own chatbot and using it for teaching
- Prompts
- Tips for dealing with the use of AI by learners
AI for coaches and trainers
next date: 16th of November 2024
- Introduction: What is an LLM?
-
Generative AI – the technology of the hour
-
The power of AI chatbots
-
Revolution in teaching and personnel development
-
Comparison of leading systems: ChatGPT, Claude, Gemini, LlaMa, Grok, Mistral
-
The challenges: Prejudices, hallucinations, data protection
-
Advantages and disadvantages of the various AI systems
-
5 steps to your own chatbot: creating, training, system prompt, testing, Q&A
-
Correct prompting: How to get the best out of AI
-
Creative applications: Creating photos, PowerPoint slides and songs with AI
Superintelligenz.eu
Humans are creating a superior being. We are accompanying this development, learn new things every day and pass on our knowledge. We train chatbots - for ourselves and others.