AI Compliance Checking
AI agents that review designs against building codes, standards, and regulations.
Definition
AI Compliance Checking automates the verification of architectural and engineering designs against applicable building codes, accessibility standards, fire codes, and other regulations. These systems are trained on hundreds of codes and can check designs much faster than manual review. AI identifies potential violations, explains the relevant code sections, and in some cases suggests compliant alternatives.
In Depth
Compliance checking in AEC spans building codes, accessibility standards, fire codes, energy codes, zoning requirements, and project-specific standards. Each has hundreds of individual requirements, many of which depend on classifications and calculations from other requirements. Manual compliance checking is inherently incomplete because no human reviewer can verify every requirement on every sheet.
AI compliance checking is systematic. It applies every applicable requirement to every relevant element on the drawings, producing a comprehensive compliance report with specific findings, code references, and drawing locations. A finding might read: "Sheet A2.1 — Corridor C204 width measures 34 inches. IBC 2018 Table 1020.2 requires a minimum of 44 inches for corridors, or 36 inches where the corridor serves an occupant load of less than 50, and ICC A117.1 Section 403.5.1 requires a 36-inch minimum clear width for the accessible route. Recommend verifying corridor width."
This level of specificity — citing the exact code section, the exact drawing location, and the exact measurement — is what separates useful compliance checking from generic alerts. The design team can evaluate each finding, decide whether a correction is needed, and document their resolution. The compliance report becomes part of the project record, demonstrating due diligence in code compliance.
Examples
Automatically checking egress paths against IBC requirements
Verifying ADA accessibility compliance in floor plans
Checking fire separation requirements between occupancy types
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
AI Compliance Checking automates the verification of architectural and engineering designs against applicable building codes, accessibility standards, fire codes, and other regulations. These systems are trained on hundreds of codes and can check designs much faster than manual review. AI identifies potential violations, explains the relevant code sections, and in some cases suggests compliant alternatives.
Automatically checking egress paths against IBC requirements. Verifying ADA accessibility compliance in floor plans. Checking fire separation requirements between occupancy types.
Code Compliance Review: Check drawings against 380+ building codes and standards with cited answers.
More Use Cases Terms
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