Context Graphs for Proactive Enterprise Agents
Abstract
arXiv:2607.07721v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) and agentic frameworks have advanced enterprise AI considerably, yet agents remain fundamentally reactive: they wait for a human query before acting. This paper argues that genuine enterprise productivity gains require proactive agents: systems that surface relevant, actionable information to workers before they ask. We propose the Context Graph, a live relational data structure that models enterprise entities,
Transparencia: Este análisis ha sido generado con asistencia de inteligencia artificial bajo supervisión editorial de SAPIENSDATAAI.