Digital Factory Strategy & ROI
Master the financial engineering of Technical Sovereignty and the modeling logic required to justify high-stakes industrial AI infrastructure.
Five modules empower you to calculate the true cost-benefit of sovereign systems, deconstruct the long-term financial risks of vendor lock-in, and secure the capital required to transform your data into a balance-sheet asset.
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
Industrial ROI & Strategy Specialist
Course Outline
This financial laboratory provides a standardized framework for measuring the long-term ROI of Industry 4.0, moving beyond traditional IT spending into strategic asset creation.
The curriculum deconstructs the "Subscription Trap" and provides CFOs and Owners with the analytical tools to value proprietary data lakes and internal intelligence infrastructure against the hidden costs of external dependency.
The Problem Solved
Proving Sovereign Value. We resolve the "Black Hole" of unquantified IT spending. We provide the financial modeling required to build a definitive business case for internal AI infrastructure versus the risks of external vendor dependency.
Key Skills & Competencies
1. ROI Modeling for Industry 4.0: Measuring intangible gains in Quality and Resilience.
2. Sovereignty Cost-Benefit Analysis: Navigating "Build vs. Buy" in the AI era.
3. Capital Allocation for AI: Structuring the digital balance sheet for ROI.
Course Modules
1. Measuring the Invisible: Scrap reduction and OEE. Quantifying non-linear industrial gains.
2. The "Subscription Trap": Risks of non-sovereign tech. Analyzing the long-term cost of lock-in.
3. Investment Mapping: Phasing the rollout. Architecting the cash-flow-positive transition.
4. Sovereignty as an Asset: Valuing your Data Lake. Transforming proprietary data into capital.
5. The Boardroom Pitch: Securing technical funding. Mastering the language of independent finance.
Learning objectives and format
By the end of the course, you will be able to master the financial modeling of Technical Sovereignty and the strategic allocation of capital for digital factory transitions. You’ll navigate five modules covering ROI quantification, vendor risk analysis, and boardroom pitching, transforming technical expenses into long-term organizational assets.
Key Objectives
- Calculate the true ROI of AI-driven scrap reduction, OEE, and energy efficiency
- Perform a rigorous Cost-Benefit Analysis between "Sovereign Build" and "Cloud Buy"
- Identify the hidden financial risks and long-term costs of SaaS vendor lock-in
- Value proprietary industrial data sets as tangible assets on the balance sheet
- Design a phased investment roadmap that aligns with factory production cycles
- Architect a boardroom-ready financial pitch for technical independence
Learning Format
- Analyze case studies of DACH manufacturers achieving techical independence
- Visualize the "Sovereignty Gap" in traditional industrial P&L statements
- Identify high-value "Sovereignty Wins" within your specific corporate structure
- Draft a 5-year ROI model for a sovereign AI infrastructure pilot
- Test capital allocation strategies against various industrial scaling scenarios
- Complete the final assessment to earn your Industrial ROI & Strategy Specialist certificate
Who is this course for?
Prerequisites
Executive or senior financial management experience.
Target Audience
CFOs, Strategic Directors, Owners, and Managing Directors responsible for long-term capital allocation.
