January 20th, 2026 – 09:00 – 14:30 CET
Enterprise AI for Executives and Board Members
Relevant Insights, Critical Topics, and Interesting Opportunities
AUDIENCE
Business Executives, Board Members, VPs, Leaders
FORMAT
Onsite at BlueCallom in Zürich
LANGUAGE
The discussion will be conducted in English
DATE
January 20th, 2026 – 09:00 – 14:30 (CET)
LOCATION
Zürich Seefeld
REQUIREMENT
Leadership position in a company 250+ employees
PRICE
introductory fee: CHF 800 per person for this first, January 20th program.
Future fee CHF 4,500 per person
Your questions and suggestions up front
If you have SPECIFIC QUESTIONS or want us to address a SPECIFIC TOPIC,
let us know up-front by sending us your thoughts.
Agenda & Topics
Enterprise AI for Executives and Board Members
- Are you not AI-ready? Nobody is. We are all learning – together.
- It’s almost impossible to explain the “AI Paradigm Shift” within 45 minutes – We do it in a half day.
- You heard about significant productivity gains. But not how to exactly achieve it.
- Despite using ChatGPT, Co-Pilots, and Agents, you seem not to see any advantages. We explain why.
- The dream of cutting down employees to gain profitability is a lie – sorry.
- Do you really need to clean your data before starting with Enterprise AI? No, you don’t.
- AI will change everything, and it requires a whole new way of thinking. We are afraid so, yes.
- Let us help you envision what you really need, what you can realistically expect, and where you should consider rethinking how businesses could be run.
- We share what’s needed to run Enterprise AI and what skills your team needs.
you no longer only compete with other executives – you also compete with the AI of other executives.
- We started in late 2022 and have been working on Enterprise AI for a solid 3 years.
- We have roughly 100 companies on our platform and have learned more than we could ever imagine.
- We know what we will build in 2026/27, and that is your opportunity to envision where the industry may go.
- What resources, skills, and capital would we really need to set it in motion? It’s not what you think.
How do we know? We already had 1:1 meetings with over 50 CEOs and board members.
Agenda & Topics
Agenda
A new branch of knowledge your brain will need.
- You know how to create a strategy, what financial controlling means, what a motor does, the impact of energy, what a supply chain is, what to expect from a sales forecast, what a computer is, Asset Management, Make or Buy, what the Internet is, most likely what ChatGPT is, and possibly how to work with a spreadsheet – remember when you did it for the first time? There was a time when none of the above were known to management.
- Identify opportunities, as you did for your business in general.
We show you in 10 Minutes what’s deep inside an LLM and what the mysterious hallucinations really are. - You don’t need to be an engineer. In the same way that you learned what a motor is, a steering wheel does, and the reason for brakes, we show you the overarching principles of Artificial Intelligence.
Enterprise AI is far more than just technology.
- Your IT team will be responsible for AI implementation, usage, security, assessments, management, and other related tasks.
BUT NOT FOR HOW TO TAKE THE WHOLE COMPANY TO THE NEXT LEVELWhile Enterprise AI is, of course, built on technology, it is also, and foremost, an added intelligence for your business. Like you may have machines that compensate for the lack of muscle power and precision, you will now add intelligence that augments your team’s thinking and acting. It empowers employees to deal with tasks they never did before. A skilled labor shortage can be compensated in some areas; processes are amplified, repeatability and accuracy are enhanced. Reporting and planning tasks can be completed at night and reviewed, enhanced, or adjusted when the team comes in the morning.
All of this is not future – it exists today and has a proven track record.
Use Cases
- SALES – We show you how an AI-driven sales process works, so that sales teams spend 80% of their time with customers and max. 20% of their time with sales administration. Why don’t they produce sales reports, make sales forecasts, and manage funnels anymore? It would have been impossible with conventional software systems.
- INNOVATION – We show you how AI-driven autonomous innovation can complete the innovation process from ideation to blueprint creation and Go-To-Market in 4 hours, while the innovation team of the past would hold an introductory meeting, preparing for a 6-month process. Also, this is only possible with Native-AI Solutions.
- COMPETITION – We show you how an AI-driven Competition Management System helps executives observe their market, competitors, and technology evolution in real time, make recommendations, and prepare for execution of a market response before you enter the office in the morning. Also, this would have been impossible with conventional software systems.
- COMPLIANCE – We show you how teams do their compliance check before they get an approval, and the Compliance Manager can focus on difficult cases only. And again, this would have been impossible with conventional software systems.
- EXECUTIVE SEARCH – We show you how modern executives are searched, evaluated, rated, and recommended using high-performance AI and deep research. AI became not only a technology that an executive can have in their organization, but also an evaluation of how well they did it.
- AI USE CASE HUNT – If you look for use cases to start with AI, consider this. Your team will look for ways to leverage AI based on their experience with ChatGPT or other tools. Their experience limits their thinking; the output is limited accordingly, and the progress is most likely unsuccessful. We will discuss a methodical approach for AI USE CASE IDENTIFICATION.
Learn the AI Language in 20 Minutes
What are the differences in Algorithmic AI, Generative AI, Agentic AI, Enterprise AI, AI-First, Native AI – what is important to make educated decisions?
What are mission-critical technologies and methods for Enterprise AI that C-Level executives need to understand? Even young CIOs may hesitate to leave their comfort zone. But you no longer only compete with other executives – you compete with the AI of other executives.
AI Implementation Strategy
Build your AI Implementation Strategy with AI
A clear understanding of the AI paradigm shift
Participants will gain a concise, executive-level view of why the rapid advances in AI have been so difficult to grasp — and what has fundamentally changed in recent months to make true comprehension possible.
How Agentic AI transforms economic and organizational progress
Leaders will learn how autonomous, goal-driven AI systems differ from traditional AI tools, and why this new class of technology is poised to redefine value creation and competitive advantage.
Strategic context beyond the typical “industrial revolution” comparison
The training provides a modern framework for interpreting AI’s impact, moving beyond outdated analogies toward a more accurate understanding of systemic transformation.
Why current AI usage often fails to produce meaningful results
Executives will explore the organizational, cultural, and cognitive barriers that prevent companies from realizing measurable benefits — even when they actively use AI tools.
The mindset shift required for AI-era leadership
Participants will understand the leadership transformation needed to fully leverage Agentic AI, including decision-making approaches, risk models, and innovation culture redesign.
What Agentic AI can realistically deliver today
We will review real-world examples that demonstrate where autonomous AI systems have already achieved breakthrough productivity, reliability, and business outcomes.
How to measure, govern, and predict AI performance
Executives will learn practical, non-theoretical ways to quantify AI impact, create predictable outcomes, and establish governance models that scale with AI capability.
Assessing true organizational AI readiness
Leaders will gain a realistic framework for evaluating readiness — including required skills, investments, infrastructure, and the operational changes needed to succeed with Agentic AI.
A forward-looking perspective on the questions that matter
Participants will leave with clarity on the open questions they should be asking — about strategy, risk, innovation, and competitive positioning — as AI evolves.
Host
Axel Schultze, BlueCallom CEO
