AI Leadership for Manufacturing Executives
Master the transition from traditional command-and-control to data-driven, autonomous oversight while protecting your facility’s industrial heritage.
Five modules empower you to lead an "AI-First" organizational culture, architect autonomous decision-engines that dominate your niche, and secure your legacy through the lens of technical sovereignty.
Start Dates
23 March 2026
23 April 2026
25 May 2026
Level
Advanced
Duration
8 hours total
2 weeks training (online/classroom Vaduz)
1 full day (on-site)
Language
English or German (customer's choise)
Course Fee
CHF 1450 (online/classroom Vaduz)
CHF 1895 (on-site)
(including all materials and certificate)
Certificate
Executive AI Strategy Lead
Course Outline
This strategic briefing deconstructs the shift from manual oversight to autonomous leadership, specifically tailored for the boardroom and business owners.
The curriculum provides a standardized framework for integrating the "Inhaber" vision with modern decision-engines, ensuring that 24/7 autonomous operations respect the craftsmanship and technical excellence that define your company's heritage.
The Problem Solved
Resolving Legacy Fear: We bridge the gap between traditional family-run values and autonomous logic. We provide the leadership framework required to transition into a data-driven era without sacrificing the technical DNA of the organization.
Key Skills & Competencies
1. Autonomous KPI Design: Measuring the performance of "Digital Workers."
2. Workforce Reskilling Strategy: Leading the "Human Transition" at scale.
3. Heritage-to-Logic Bridging: Integrating traditional vision with modern tech.
Course Modules
1. The Executive Vision: AI as a moat, not a cost. Driving competitive advantage.
2. Leading the Culture Shift: De-risking "Robot Anxiety." Managing the human-centric transition.
3. Autonomous Governance: Oversight without micromanagement. Architecting the decision-engine.
4. Strategic Resource Allocation: Investing for 10x ROI. Identifying the highest-value pilots.
5. Technical Sovereignty: Protecting the family name. Ensuring data and IP independence.
Learning objectives and format
By the end of the course, you will be able to master the leadership of autonomous organizations and the design of high-level AI governance protocols.
You’ll navigate five modules covering culture shifts, resource allocation, and technical sovereignty, transforming traditional management models into a strategic, data-driven competitive engine.
Key Objectives
- Define the roadmap from manual control to autonomous oversight
- Design KPIs that measure the synergy between human staff and "Digital Workers"
- Implement a cultural framework that eliminates automation anxiety at all levels
- Identify strategic investment areas that offer a 10x ROI for mid-sized manufacturers
- Establish technical sovereignty protocols to protect proprietary IP and family names
- Architect a 3-year vision for the "Sovereign Industrial Factory"
Learning Format
- Analyze executive-level case studies on digital culture transformation
- Visualize the roadmap from heritage-based manufacturing to AI-first logic
- Identify high-stakes investment priorities within your specific P&L
- Draft an organizational governance structure for autonomous decision-engines
- Test leadership protocols against real-world disruption and scale scenarios
- Complete the final assessment to earn your Executive AI Strategy Lead certificate
Who is this course for?
Prerequisites
Senior management experience. Completion of AI Project Management is recommended, but not mandatory for owners.
Target Audience
Managing Directors, COOs, and Owners of small-mid-to-large scale industrial firms.
