METZ CONNECT deploys DeutschlandGPT for secure enterprise AI, achieving 85% time savings on data warehouse migration
METZ CONNECT employees wanted to use AI for daily work, but strict internal data security policies clashed with uncontrolled external AI usage. Initial attempts at a compromise using Microsoft Copilot and ChatGPT quickly led to a loss of control over who was using which AI tools and how, raising concerns that sensitive company data could reach insecure external systems.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · AI demand vs. security policy conflict
Employee desire to use AI for daily work conflicts with strict internal data security policies, creating an urgent need for a secure, centrally managed AI solution.
Tools used
DeutschlandGPTMicrosoft CopilotChatGPT
Outcome
IT regained full control over AI usage with GDPR compliance ensured and sensitive company data protected. The data warehouse migration was completed in one week instead of three weeks for three people, representing 85% time savings. Additional special applications were deployed for translation, meeting minutes, email revision, and helpdesk ticket creation.
What failed first
A partial release of Microsoft Copilot and IT's use of ChatGPT as a middle-ground solution quickly resulted in a loss of oversight, leaving it unclear who was using which AI tools, and prompting IT to block all external AI services.