AI-032 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceUseful enabling infrastructure and program scale. It documents production use and human capability-building, not a single workflow with verified returns.
GenAI use cases in production: 60+; 22 scaled (Oct 2025 release) (Company-reported); Staff trained: 5,000+ (Company-reported)
Case counts vary by source/date and counting definition; do not conflate competence-center cases with 22-agent pilot or later 34-agent scale. No independent outcomes or value quantification.
Useful enabling infrastructure and program scale. It documents production use and human capability-building, not a single workflow with verified returns.
Platform announcement and generative AI competence center
Locator not independently checked
5.5 Technology and digitalization
Scaling use cases and employee capability across the company.
These are different measures of maturity. Training does not establish active use, while the release does not enumerate all production cases or provide comparable application-level economics.
Repsol extended Copilot to about 25,000 employees after a four-month M365 Copilot pilot with 550 users showed 121 minutes saved per person per week and 16% higher work quality. It runs 60+ GenAI use cases and 34 agents, and has trained 5,000+ employees plus all senior management in prompting.
A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.