Which Buildings Are Artificial Intelligence-Ready? A Measurement-Based Assessment Framework for AI Question Answering and Actuation
Agentic artificial intelligence (AI) systems are becoming the interface to buildings, answering questions and controlling operations, but a building's readiness for them has not been systematically assessed.
ProofPaper ↗
Key points
- First, a building's knowledge graph sets two ceilings.
- The answerable-readiness ceiling is the share of operational questions its data could answer, and the actuation-readiness ceiling is the share of control actions it exposes.
- Second, a reference AI agent's accuracy on a fixed set of these questions shows how much of the ceilings is realized.
- The framework turns "is this building AI-ready?" into an auditable, ranked retrofit question.
Sources (1)
- [1]Which Buildings Are Artificial Intelligence-Ready? A Measurement-Based Assessment Framework for AI Question Answering and ActuationarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 09:12 PM
Agentic artificial intelligence (AI) systems are becoming the interface to buildings, answering questions and controlling operations, but a building's readiness for them has not been systematically assessed.
First, a building's knowledge graph sets two ceilings.
Extractive summary: sentences quoted from the sources.
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