Addressing trust requirements in the design of an open-source multi-agent LLM-based domain-specific chatbot — Axetorn et al. (2026)

1 More Paper · Oct 4, 2026 · 2h 29m · transcript

Abstract Large Language Models (LLMs) have the potential to automate knowledge-intensive interactions in enterprise systems, yet their adoption is often limited. One reason is a lack of user trust. This study examines how trust can be systematically engineered into an LLM-driven, multi-agent chatbot that handles routine human-resources (HR) queries. We follow a two-cycle Design Science Research methodology. Cycle 1 triangulated a systematic literature review with a thematic analysis over semi-structured interviews of six employees at a global firm and a confirmatory workshop with five AI…