Delay Analysis AI
AI for analyzing construction schedule delays.
Definition
Delay Analysis AI helps project teams analyze the causes and impacts of construction schedule delays. These systems can identify delay events, calculate delay impacts, allocate responsibility, and support schedule claim documentation. AI delay analysis helps resolve disputes and improve future project performance.
In Depth
Delay analysis determines the cause and responsibility for construction schedule delays. AI assists by correlating schedule delays with their root causes — document issues (late RFI responses, delayed submittal reviews), site conditions (weather, unforeseen conditions), and resource issues (labor shortages, material delivery delays) — using the project record to document the cause-and-effect chain.
Examples
Identifying delay events from project records
Calculating delay impacts on completion
Allocating delay responsibility
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use delay analysis ai across your existing project data:
Frequently Asked Questions
Delay Analysis AI helps project teams analyze the causes and impacts of construction schedule delays. These systems can identify delay events, calculate delay impacts, allocate responsibility, and support schedule claim documentation. AI delay analysis helps resolve disputes and improve future project performance.
Identifying delay events from project records. Calculating delay impacts on completion. Allocating delay responsibility.
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