Challenge
STIHL experimented with LLMs and low-code tools without a centralized adoption plan. After dozens of fragmented initiatives, the enterprise wanted to organize its data, select the right AI use cases, and protect against data leaks.
Solution
Our experts designed workshops and education plans to consolidate initiatives, prioritize AI use cases, and balance internal development with external help, laying the foundation for an enterprise-wide AI strategy.
Results
- Education on enterprise-level AI system design
- Agentic AI use-case assessment and prioritization
- Data governance strategy for AI initiatives
Technology
Enterprise AI Strategy · Data Governance · Agentic AI Readiness
