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Abridged primary-source text [2]
The rise of agentic artificial intelligence (AI) in the built environment is shifting attention from isolated AI tools toward autonomous systems that reason, plan, and act across project and organizational workflows. The effectiveness of such systems depends not only on large language model capabilities, but also on the readiness of heterogeneous data environments across the Architecture, Engineering, and Construction (AEC) sector. These environments combine structured sources, such as CAD and BIM models, schedules, cost databases, and asset registers, with unstructured ones, including technical reports, design narratives, planning and policy documents, contracts, meeting minutes, and risk registers.
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- What changed
- The author-supplied record 10.48550/arxiv.2611.02286 makes an abstract and publication details available for “Toward Agentic AI-Ready Workflows in Built Environment Organizations: Knowledge Structures and Interoperability Challenges”.