CM at Risk Analysis
AI analysis for Construction Manager at Risk delivery method including GMP tracking.
Definition
CM at Risk Analysis AI supports the Construction Manager at Risk delivery method by tracking Guaranteed Maximum Price components, analyzing subcontractor bids, and managing contingency usage. It helps CMs control costs while providing owners transparency into GMP tracking and potential savings.
In Depth
CM at Risk analysis evaluates the GMP components, fee structure, and contingency allocation in a CM at Risk delivery model. AI assists by comparing the GMP proposal against the design documents, verifying that the scope is complete, and benchmarking the costs against comparable projects.
Examples
Tracking GMP contingency usage
Analyzing subcontractor bid packages
Monitoring savings opportunities
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
CM at Risk Analysis AI supports the Construction Manager at Risk delivery method by tracking Guaranteed Maximum Price components, analyzing subcontractor bids, and managing contingency usage. It helps CMs control costs while providing owners transparency into GMP tracking and potential savings.
Tracking GMP contingency usage. Analyzing subcontractor bid packages. Monitoring savings opportunities.
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