AI Drawing QA/QC
AI quality assurance and quality control for architectural and engineering drawings.
Definition
AI Drawing QA/QC automates the quality assurance and quality control process for construction drawings. These systems check drawings against firm standards, project requirements, and building codes to identify errors before they cause problems in construction. AI can perform consistent, thorough checks across entire drawing sets, catching issues that human reviewers might miss due to fatigue or time pressure.
In Depth
Drawing QA/QC catches the errors that generate RFIs and change orders during construction — missing details, inconsistent annotations, broken cross-references, and coordination conflicts between disciplines. AI performs these checks systematically across every sheet, every time, supplementing the human reviewer's selective attention with comprehensive automated analysis.
The checks include: verifying that every detail callout on the plans points to an existing detail, confirming that keynote numbers match the legend, checking that wall types shown on plans correspond to the wall type schedule, and ensuring that room names and numbers are consistent between architectural plans, reflected ceiling plans, and MEP plans. Each finding includes the specific sheet, location, and discrepancy.
Examples
Checking that all drawings follow firm CAD standards
Verifying that detail references exist and are correctly numbered
Ensuring consistent annotation styles across a drawing set
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use ai drawing qa/qc across your existing project data:
Frequently Asked Questions
AI Drawing QA/QC automates the quality assurance and quality control process for construction drawings. These systems check drawings against firm standards, project requirements, and building codes to identify errors before they cause problems in construction. AI can perform consistent, thorough checks across entire drawing sets, catching issues that human reviewers might miss due to fatigue or time pressure.
Checking that all drawings follow firm CAD standards. Verifying that detail references exist and are correctly numbered. Ensuring consistent annotation styles across a drawing set.
Automated Drawing Review: Automatically review drawings against building codes, internal standards, and client requirements.