Multimodal Generative and Agentic AI for Business Process Improvement in High-Consequence Training and Decision-Making

David Metcalf, Devon Veller, Michael Eakins, Angela Hamilton and Max Hooper

Chapter 15 in Leveraging AI for Business Innovation, 2025, pp 331-342 from World Scientific Publishing Co. Pte. Ltd.

Abstract: The world of business process innovation and improvement is rapidly changing in the face of artificial intelligence (AI). Creating multimodal data types such as audio, text, video, and images with assistance from AI serves as a force multiplier—augmenting and accelerating existing development capabilities and business processes. Such advances point to future research building upon the current work in producing better, faster, and cheaper solutions that use advanced AI capabilities for business efficiency…

Keywords: AI Strategy Framework; AI Entrepreneurship; AI Implementation; Generative AI; Multi-Agent Systems; Artificial Intuition; Human-AI Symbiosis; Startups; Corporate Learning; Management Decision-Making; Business Performance; Innovation; Industry 5.0; Business Process Improvement (search for similar items in EconPapers)
JEL-codes: L21 M13 M15 O32 O33 (search for similar items in EconPapers)
Date: 2025
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