AI workshop for a managing director with no IT knowledge

Introduction

An AI workshop for executives without IT knowledge is not a training session where you learn how to prompt or which tool is currently trending. It is the strategic decision groundwork that must precede any AI investment, so that you as managing director, COO, or team lead know whether your company is even ready for artificial intelligence, where you sensibly start, and which risks you avoid from the outset.

This article is aimed at decision-makers in mid-sized companies who want to use AI seriously but have no technical background. It covers what a strategic AI workshop concretely delivers, which compliance requirements arise from the EU AI Act, why shadow AI is a real problem in the mid-market, and how, with a structured approach, you avoid wrong decisions and wasted investments. Not covered are technical implementation details, tool comparisons, or programming tutorials.

The direct answer to the core question: an AI workshop prepares the strategic foundation on which all further AI decisions build. It answers three questions: Are we ready for AI? Where do we sensibly start? What can go wrong and how do we prevent it? As a result, it delivers an AI strategy, a readiness picture, and binding AI guidelines.

What you take away from this article:

• AI readiness assessment: How to honestly judge whether your company is technically, structurally, and culturally ready for AI
• Strategic AI roadmap: Why prioritizing use cases comes before buying tools
• Binding AI guidelines: How to prevent shadow AI and GDPR violations through clear usage rules
• The data foundation as a base: Why no AI project works without structured, clean data
• Compliance framework: What the EU AI Act Art. 4 concretely demands of your company

Understanding the basics of an AI workshop

An AI workshop is a strategic intervention, not a demo event and not a seminar where you learn what artificial intelligence can theoretically do. AI workshops for managing directors should be practical and strategic, with a clear focus on business value rather than technical gimmicks. The difference from generic AI introduction courses or software presentations: at the end of the day you haven’t bought a tool license, but worked out a sound basis for decisions.

AI workshops should not use technical IT terms. What counts are business processes, risk assessment, governance structures, and a clear roadmap. Things every leader understands and can be accountable for, regardless of their IT background.

Why managing directors without IT knowledge need an AI strategy

Lacking IT knowledge doesn’t mean you can’t develop an AI strategy. On the contrary: integrating AI requires strategic competence in companies, and that lies with management, not in the IT department. In such a workshop, leaders learn to make strategic decisions about the use of AI as AI leaders, to establish a professional approach to AI in the company, and not to get lost in technical details. The difference from generic AI introduction courses, AI trainings, or general courses lies precisely in this.

It’s more important to be able to correctly assess potential, risks, and benefits than to be able to write code or understand AI models. Without a deliberate AI strategy, something happens in most companies anyway – just in an uncontrolled way. Employees use AI tools on their own, without management, data protection, or compliance knowing about it. The result: shadow AI, data protection risks, and wasted resources.

The problem of unplanned AI adoption

Shadow AI is no longer a theoretical danger in the German mid-market. According to the Bitkom study 2025, 8% of companies with 20+ employees state that shadow AI is widespread; 17% report individual cases. In total, 42% of the companies surveyed know or suspect that employees use AI tools that were not officially provided. Only 29% are sure that no shadow AI exists. The share of firms that consider shadow AI to be widespread has doubled within a year: from 4% to 8%.

What happens in a company that introduces ChatGPT or Copilot without first setting AI guidelines? Employees enter personal or confidential data into unapproved tools. This can violate the GDPR and contractual agreements. As the entrepreneur, you are liable as the responsible party, even if employees act on their own initiative.

At the same time, the EU AI Act has required mandatory AI literacy for all employees with AI user contact under Article 4 since August 2024. Compliance uncertainty blocks innovation in companies, and that is exactly why strategy is needed before implementation.

The PASSION4IT AI workshop in detail

The PASSION4IT AI workshop starts exactly where most companies stand: you know AI is relevant, but you don’t know whether your company is ready and where you should start. Since 2021, over 25 AI projects have been implemented and over 700 seminars on digital transformation conducted – this experience flows into a workshop format designed for impact rather than show.

Workshop format and structure

AI workshops for leaders typically last one to two days. The PASSION4IT workshop focuses on an intensive 6-hour format for EUR 3,900 net – designed for managing directors, COOs, and team leads. An AI workshop can optimally support 8-15 leaders, with small groups of a maximum of 10-12 people particularly fostering exchange in the workshop. Interactive workshop formats foster leaders’ understanding of AI considerably better than lectures or passive webinars.

The LEGO Serious Play methodology is optionally available, for companies that prefer to develop strategy with their hands rather than consume slides. This hands-on methodology increases engagement and commitment, especially among participants without prior technical knowledge.

The workshop is BAFA-eligible as a consulting service. Through the “Förderung unternehmerischen Know-hows” program, SMEs can get up to 80% of the consulting fee funded – depending on region and company status. With 50% funding, your own share is around €1,950; with 80% funding, only €780. Important: the application must be submitted before the start of the consulting contract, and the consultant must be BAFA-registered.

The three core questions of the workshop

Every AI workshop at PASSION4IT answers the three questions every mid-market managing director really has:

AI readiness check: Is your company ready? Not every company is ready for AI, and establishing that honestly is not a flaw but the smartest first step. The readiness check examines four dimensions: technical infrastructure, data quality and accessibility, organizational structures (responsibilities, decision-making bodies, processes), and cultural aspects (openness to change, error culture, willingness to learn). The success of AI depends on the quality of company data; without structured data, every AI project remains piecemeal.

Strategic roadmap: Where to start? Identifying use cases increases the business value of AI. Instead of introducing AI everywhere at once, the goal is to prioritize the application areas that deliver the greatest benefit at justifiable effort and risk. AI workshops should identify business applications and potential, whether in marketing, sales, customer service, or process automation. AI can support marketing, sales, and customer service, and automated processes have already become the norm in many companies. Process automation is accordingly a central topic in AI workshops.

Risk management: What can go wrong? Leaders have to ensure EU AI Act compliance. The workshop identifies concrete risks – from data protection through liability to adoption failure – and defines countermeasures before they become a problem. Legally sound guidelines are necessary for AI projects, and the workshop establishes the framework for them.

Workshop content without IT jargon

The entire workshop is tailored to decision-makers without a technical background. No technical terms without explanation, no code examples, no architecture diagrams. Instead: business-focused scenarios that show what AI concretely means for your company.

The EU AI Act Art. 4 is explained understandably: What does it require? Whom does it affect? What do you have to be able to prove by when? Art. 3(56) defines AI literacy as the ability to make informed decisions about the use of AI systems – including awareness of opportunities, risks, and possible harms. This AI competence must be oriented to role and context: management needs an understanding of governance and compliance, employees of safe use, purchasing and legal of contract and risk aspects. Small companies are affected too – the AI Act knows no size threshold.

Live demonstrations enable practical access to AI tools without participants having to become technically active themselves. Prompt engineering is decisive for the effective use of AI – the workshop shows what matters when prompting, without you needing programming knowledge for it.

A central result of the workshop is binding AI guidelines: Who may use which AI tools? Which data may be entered? Which not? What do approval processes and escalation paths look like? These guidelines prevent employees from using AI in an uncontrolled and risky way.

Practical implementation and results

Strategy without implementation remains theory. The PASSION4IT workshop is designed so that at the end of the day concrete, immediately usable results are in hand – not a PowerPoint deck that disappears in a drawer.

The workshop process step by step

The 6-hour workshop follows a clear structure that builds on itself:

• As-is analysis: Data foundation and current AI use – Where does your company stand today? Which AI tools are already in use (officially and unofficially)? In what state is your data – digitized, structured, accessible? Data security is an important topic in AI use and is considered here from the outset.
• Readiness assessment: Checking structural prerequisites – Systematic assessment of the technical infrastructure, data quality, organizational structures, and cultural readiness. What distinguishes this check from a classic IT audit? It examines not only technology, but also work processes, leadership, and the question of whether your workforce supports change.
• Strategy development: Defining business cases and priorities – Which use cases deliver the greatest benefit? AI increases productivity in companies considerably – but only when the right application areas are prioritized. Artificial intelligence increases efficiency in companies when its use is focused on the relevant processes.
• Guidelines framework: Defining rules for safe AI use – Binding guidelines for AI use, data protection, approvals, and responsibilities. This is where the AI guidelines arise that protect your company from shadow AI and compliance violations.
• AI roadmap creation: Concrete next steps with a timeline – What happens when? Who is responsible? Which milestones are measured how? The AI roadmap makes the transformation plannable.
• Implementation preparation: Change management and communication – The 10-20-70 rule describes that 70% of success depends on employees and culture. Leaders have to build an AI-friendly company culture – the workshop delivers the communication plan for it.

Workshop results in comparison

Aspect	With AI workshop	Without AI workshop
AI adoption	Strategically planned with a prioritized roadmap	Ad hoc, fragmented, reactive
Risk management	GDPR-compliant, AI Act Art. 4 met	Compliance violations, liability risks
Employee acceptance	Structured change management	Resistance, uncertainty, and shadow AI
ROI	Measurable success through focused investments	Wasted budgets on unsuitable tools
Data foundation	Audit and structuring plan in place	Unclear data situation, no basis for AI projects
AI guidelines	Binding guidelines for safe use	Uncontrolled tool use by employees

AI workshops offer practical recommendations for action for companies. The difference lies in the quality of the bases for decisions that are in place afterward.

Practical examples from the mid-market

Mechanical engineering company, approx. 200 employees: In the workshop, the leadership team found that several departments were already using ChatGPT for customer communication and technical documentation – without guidelines, without a data protection review. The workshop identified the risks, defined AI guidelines, and led to the introduction of an official LLM license agreement. Result: a decline in unauthorized AI use, measurable productivity improvement, no more compliance risks.

Service company, management without an IT background: The AI readiness check revealed that the data foundation was not sufficient for the desired AI applications – data existed in various formats, partly only in analog form. Instead of buying AI tools right away, a data structuring project was started first. The AI roadmap scheduled the entry into AI-supported process automation only six months later – but on a solid foundation.

AI workshops convey practical recommendations for action for companies, and sometimes the most important recommendation is: don’t invest in AI tools yet, but first create the fundamentals.

Common challenges with AI adoption without a workshop

Most AI projects in the mid-market do not fail because of missing technology. They fail because of missing preparation. Here are the three most common challenges and how the workshop addresses them.

Shadow AI and uncontrolled tool use

When employees use AI tools without official rules, uncontrollable risks arise. Entering confidential customer data into ChatGPT, sending AI-generated texts without review, deploying AI agents without approval – all of this is already happening in German companies. The EU AI Act requires risk assessment and governance structures. In audits, missing training records, undocumented AI use, and missing guidelines count as compliance deficits.

Solution from the workshop: In the guidelines module, binding usage rules are defined – what may be entered, which tools are approved, who bears responsibility. The workshop result is directly actionable and reduces shadow AI immediately. For training the entire workforce, the PASSION4IT Academy then offers the AI license as a follow-on step.

Missing data foundation for effective AI use

No AI project works without structured, clean, accessible data. Many companies underestimate how important data competence is as a basis for any AI integration. In what state is your data? Is it digitized? Consistent? Accessible to the systems that need it?

Solution from the workshop: The as-is analysis and the readiness assessment identify data gaps and quality problems. The result: a concrete data audit and structuring plan that lays the basis for successful AI projects.

If AI in the company is not only to be introduced but also genuinely usable and controllable, in the end it comes down to exactly one thing: knowledge that is not lost but remains available in everyday work – this is exactly where solutions like amaiko come in, by integrating company knowledge directly into existing work processes and making it available in context.

Change management and employee resistance

Employees resist when AI adoption happens without transparency or training. Leaders without an IT understanding often have difficulty communicating the benefit of AI or conveying understanding for possible failures. Without active change management, uncertainty arises – and uncertainty leads either to rejection or to uncontrolled initiative.

Solution from the workshop: The module on change management and communication delivers a concrete strategy for how to bring your team along. Which ways of working change? Which AI trainings and courses follow? How do you communicate opportunities and possibilities without raising unrealistic expectations? Which data situation is robust, and which systems may be used at all? Security of data and systems is a basic prerequisite here so that AI can be used effectively in everyday work. Such formats for leaders’ AI help to make strategic decisions and then also to enforce these decisions in the company.

Avoid expensive AI missteps. Without a clear strategy, shadow AI, compliance risks, and wrong tool investments arise. The workshop ensures that you introduce AI in a structured, secure, and economically sensible way. Prepare your AI strategy now.

Conclusion and next steps

AI in the mid-market does not fail because of missing technology – it fails because of missing preparation. Whoever introduces ChatGPT or Copilot before the data foundation, processes, and AI guidelines are clarified risks shadow AI, GDPR violations, and adoption failure. The AI workshop ensures the fundamentals are right – before any tool is introduced. Over 700 AI seminars have been conducted since 2021 and over 25 AI projects implemented; experience consistently shows: strategy before implementation pays off.

The question is not whether you introduce AI. The question is whether your company is ready to do it right.

Your next steps:

• Book the AI workshop – for strategic clarity before budget is released
• Assemble the team – management, COOs, team leads – the decision-makers accountable for the AI strategy
• Apply for BAFA funding – submit the application before the consulting starts, use funding rates of 50-80%
• After the workshop: AI license for employees – enable the entire workforce via the PASSION4IT Academy
• Start AI implementation – tackle concrete tool adoption and process integration only after strategy and enablement

Related topics that become relevant after the workshop: AI readiness in the DACH region, EU AI Act compliance, pragmatic IT consulting without buzzwords, and Digital Work concepts for everyday work.

Frequently asked questions (FAQ)

Is the workshop understandable even without IT knowledge?

Yes. The entire workshop is designed for decision-makers without a technical background. AI workshops should not use technical IT terms, and that is exactly what PASSION4IT implements. All content is explained from the business perspective: What does AI mean for your processes, your customers, your risk? Not: How does a neural network work?

How does this workshop differ from free AI webinars?

Free webinars offer a superficial overview and are often sales-oriented. The PASSION4IT AI workshop is an interactive, facilitated working format with concrete results: AI readiness assessment, binding guidelines, prioritized use cases, and a measurable AI roadmap – specific to your company. Interactive workshop formats foster leaders’ understanding of AI to a depth a webinar cannot reach.

What preparation is needed for the workshop?

Ideally, you prepare an overview of the current AI use in the company, a rough assessment of the data situation, and a participant list of the relevant decision-makers. A short advance survey can help tailor the workshop optimally to your company. No technical preparation needed.

Can the workshop also be conducted online?

The workshop is designed as an in-person format, since interactive methods like LEGO Serious Play and the direct exchange within the leadership team work best on site. A live online format is possible but has limitations in interaction and commitment. For most companies we recommend in-person.

What happens after the workshop – are we tied to PASSION4IT?

No. The workshop delivers self-contained results: an AI strategy, a readiness picture, and binding AI guidelines that can be used independently. After the workshop, no company automatically buys an AI product. If support with implementation is desired, enablement follows via the PASSION4IT Academy and only then the concrete AI implementation – but both are optional.

How do we justify the EUR 3,900 investment internally?

A workshop fee of EUR 3,900 net is an investment that avoids later wrong decisions – wrong tool purchases, GDPR fines, failed pilot projects cost many times more. With BAFA funding, your own share drops to around €1,950 (at 50%) or €780 (at 80%). Measured against the risks that an unplanned AI adoption brings, the workshop is the cheapest safeguard.

Is the workshop BAFA-eligible and how do we apply for it?

Yes, the AI workshop is BAFA-eligible as a conceptual consulting service. Eligible are strategy, digitalization, and process optimization – an AI strategy workshop falls into this category. Important: the application must be submitted before the consulting starts, the consultant must be BAFA-registered, and per company usually a maximum of two consulting projects per year are eligible. The funding is aimed at SMEs per the EU SME definition.

What does the EU AI Act Art. 4 concretely demand of my company?

The AI Act Art. 4 has obligated all companies that use AI systems in a professional context to ensure their employees’ AI literacy since August 2025. That means: you have to ensure that all employees with AI contact have sufficient knowledge of opportunities, risks, and legal frameworks. Risk if not met: fines, compliance deficits in audits, and liability in the event of data protection violations.