Perspective Chapter: Toward an Augmented Maintenance Team – Orchestrating Collective Intelligence with Conversational AI in Industry 5.0

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Authors: Hassana Mahfoud
Cited by: 0
References: 26

Abstract

This chapter explores how conversational AI can evolve from a task-focused assistant into a dynamic orchestrator of collective intelligence within industrial maintenance teams. Building on Industry 5.0’s human-centric vision, it investigates how AI-powered chatbots and voice agents can bridge generational skill gaps, capture tacit know-how, and foster peer learning. The work synthesizes recent empirical and conceptual insights into hybrid human–AI collaboration frameworks and identifies practical gaps in existing troubleshooting and knowledge-sharing approaches. It then outlines a conceptual direction for an Augmented Maintenance Team, positioning conversational AI as a facilitator of resilient, knowledge-rich ecosystems rather than a standalone technical tool. The chapter offers actionable reflections for researchers and practitioners seeking to sustain expertise, boost workforce adaptability, and embed continuous learning into maintenance operations in an era of digital transformation.

Fields of Study & Subjects

Digital Transformation in Industry Impact of AI and Big Data on Business and Society Innovative Education and Learning Practices

Publication details

Journal / source
IntechOpen eBooks
Publication date
19 January 2026
Language
EN
Document type
Book chapter