A new retrieval system, SENESCHAL, has been developed to improve knowledge access for legacy enterprise asset management platforms in energy operations. This system addresses the challenge of costly and disruptive platform replacements by providing an improvement layer. SENESCHAL enhances day-to-day knowledge access through vendor documentation, operational data store schema, and user interface usage question answering. A pilot study demonstrated significant improvements in retrieval quality, task completion time, and user confidence, indicating the operational value of semantic enrichment and intent understanding in legacy environments. AI
IMPACT This system demonstrates how AI can provide practical improvements and operational value for legacy systems, potentially accelerating the adoption of AI in established industries.
RANK_REASON The item is a research paper detailing a practical retrieval system. [lever_c_demoted from research: ic=1 ai=1.0]
- arXiv
- energy utilities
- enterprise asset management
- Hugging Face
- Operational Data Store (ODS)
- SENESCHAL
- user interface
- vendor documentation
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