By Yannick Schilly, President & CEO
Artificial intelligence promises transformative impact across industrial operations—from predictive maintenance to advanced planning and quality optimization. Yet for companies operating across continents, developing a global AI strategy is rarely straightforward. Different locations often adopt AI at different speeds, with varying comfort levels, technical maturity, and local priorities. The distance between headquarters and subsidiaries adds complexity, making alignment a critical but delicate task.
Global AI initiatives can stall when subsidiaries pursue solutions independently or when HQ-driven projects do not reflect local operational realities. The challenge is not about willingness to adopt AI—it is about coordinating vision, execution, and value realization across diverse teams and geographies.
Where global AI strategies commonly face friction:
- Divergent adoption pace: Some sites experiment and iterate quickly, while others proceed cautiously or wait for guidance.
- Ambiguity in ownership: Who decides priorities, approves AI models, and validates outcomes? Without clarity, adoption slows.
- Misaligned metrics: HQ may focus on technical performance, while subsidiaries are concerned with operational impact, cost savings, or workforce integration.
Consider a multi-site AI rollout for predictive maintenance. Subsidiaries may customize data inputs, workflows, or algorithms to suit local machinery and labor practices. HQ seeks standardization to ensure consistency and compliance across the global enterprise. Without deliberate coordination, these differences can lead to inefficiencies, duplicated effort, or misinterpretation of results—yet when managed effectively, they can generate learning and innovation that benefit the entire organization.
How leaders can turn these challenges into an advantage:
- Define governance for AI across sites: Establish clear roles and decision rights, balancing HQ oversight with local autonomy.
- Harmonize metrics: Measure both technical and operational outcomes, capturing value for HQ and subsidiaries alike.
- Encourage iterative adoption: Allow controlled experimentation at local sites, capture lessons, and integrate findings into global strategy.
- Foster continuous dialogue: Frequent, structured conversations between HQ and subsidiaries help surface obstacles early and align priorities.
A global AI strategy is not a single project, it is a continuous, adaptive process that requires both technical excellence and organizational judgment. Success comes from recognizing the different starting points of each site, respecting operational realities, and creating a framework that enables experimentation, measurement, and integration across the enterprise.
When this alignment is achieved, AI moves beyond pilots and dashboards to tangible operational impact, uniting strategy and execution across continents while turning the complexity of global operations into a competitive advantage.
About Yannick Schilly
Yannick Schilly is Co-Founder, President, and CEO of ALTIX Consulting and a senior advisor with extensive experience supporting international industrial companies grow and compete globally. He advises industrial leaders on technology-driven transformation initiatives, guiding subsidiaries to align strategy, operations, and leadership across continents while delivering measurable performance improvements.
