Context
Utilities operate complex Advanced Distribution Management System (ADMS) environments that often require users to rely on extensive documentation and a limited pool of experienced specialists to find the right functionality, configure features, and complete tasks efficiently.
Challenge
Complex ADMS environments can slow workflows, extend onboarding, and make knowledge access more difficult as experienced personnel retire and institutional know-how becomes harder to retain.
AI Solution
The AI solution is an ADMS-embedded assistant that uses natural-language interaction to help users understand functionality, access relevant documentation, and navigate to the appropriate screens, reports, or pre-configured views more efficiently. It supports user productivity and system adoption while ensuring that any operational action remains subject to user review and control.
Impact & evidence
The solution resulted in a reduction in user onboarding time from 6-12 weeks, down to 2 weeks , recording a +60% reduction. It also increased the speed of task execution.
Implementation / Adoption
This capability is positioned for deployment within Schneider Electric’s software environment, as part of the One Digital Grid Platform with EcoStruxure ADMS. Adoption requires:
- An operational ADMS environment
- AI‑ready documentation
- Integration with relevant views and workflows
- Appropriate governance and validation processes
- Deployment approach: delivered as a baseline capability within the One Digital Grid Platform, so deployment is typically aligned with the broader EcoStruxure ADMS implementation programme, rather than treated as a standalone initiative. Timing depends on scope, integration needs, documentation readiness, governance, and utility‑specific configuration; a “from scratch” ADMS programme is described as typically 1–2 years.
Data
The solution relies on user manuals, technical specifications, how-to guides, and customer project documentation as core knowledge sources.
Future enhancements
Schneider Electric continues to expand AI-enabled capabilities across its grid software portfolio.