AI-Decision Checkpoints for AI-Augmented Business Process Management: Framework and Educational Instantiation

  • 类型：arxiv
  • 标识：2610.06207
  • 链接：http://arxiv.org/abs/2610.06207v1
  • 主分类：rag
  • 形态：method
  • TLDR：Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents are increasingly embedded in operational business processes. Yet Business Process Management (BPM) curricula and frameworks still largely treat artificial intelligence (AI) as an add-on technology, leaving graduates (as potential future process developers) unprepared to reason about AI as a first-class design element of end-to-end processes. This paper addresses that gap by proposing \emph{AI-decision checkpoints}: explicit moments in a process development trajectory where process developers identify AI-candidate
  • 待LLM分类：否
  • 来源文件：
  • /inbox/tom/_candidates/2026-10-06-agent-rag-longcontext-candidates.json