Artificial intelligence is changing the way architects and building departments review construction drawings for code compliance. AI-powered plan review software analyzes drawing sets, identifies potential violations, and flags missing information before permit submission, helping design teams reduce errors and avoid costly revisions.
According to Pirros, these tools examine drawings against applicable building codes, including requirements for accessibility, fire safety, clearances, and structural standards. They also identify inconsistencies between drawings, specifications, schedules, and details. However, AI cannot interpret design intent, resolve complex regulatory judgments, or replace licensed professionals responsible for approving designs.
Building departments are increasingly adopting AI to accelerate permitting. Honolulu’s Department of Planning and Permitting uses CivCheck, an AI-powered screening tool, to identify potential compliance problems in residential applications. The department has reported approximately 60% faster residential review times.
For architecture firms, conducting AI reviews before submission can prevent repeated corrections and improve documentation quality. Pirros recommends selecting applicable codes, uploading project specifications, reviewing high-priority drawings, addressing critical findings, and repeating the process before final submission.
Pirros offers these capabilities through Project Review, part of its AI-powered Quality Management System. The platform checks drawings against the International Building Code (IBC), Americans with Disabilities Act (ADA) requirements, American Institute of Steel Construction (AISC) standards, and regional regulations.
Each flagged issue includes a reference to the relevant code provision and a severity rating. Teams can assign findings, document dismissals, and schedule recurring reviews through Autodesk Forma or Autodesk Construction Cloud integrations.
Pirros highlights Number TEN Architectural Group, which used the platform to identify overlooked sloped glazing and safety glass requirements before bidding.
Ultimately, AI plan review strengthens quality assurance by catching routine errors earlier, preserving review records, and allowing architects to concentrate on design decisions requiring professional judgment.
