Construction drawing review has always been one of the most time-consuming parts of engineering practice. A licensed PE sits down with a set of drawings, a stack of code books, and works through each sheet looking for violations, coordination issues, and documentation gaps. It's careful, necessary work, and it's exactly the kind of work that's starting to benefit from AI assistance.
But "benefit from AI" and "get replaced by AI" are very different things. Here's an honest look at what AI-assisted drawing review actually does well, where it falls short, and how it fits into a PE's workflow.
What AI drawing review does well
AI is strong at pattern-matching against known requirements. When you have a clearly stated code section like IMC Section 306.5 requiring minimum clearances around mechanical equipment, and a drawing that either meets or violates that requirement, AI can flag it reliably.
Code citation accuracy. When an AI flags a violation, it can cite the exact section, subsection, and edition. Not "see IBC Chapter 10" but "IBC 2024 Section 1005.1, which requires a minimum egress width of 0.2 inches per occupant." This specificity is useful for QA/QC documentation and AHJ submittals.
Cross-code coordination. A mechanical drawing set might need review against IMC, ASHRAE 90.1, ASHRAE 62.1, NFPA 90A, and local energy code simultaneously. AI doesn't get tired halfway through the second code. It checks every selected standard on every sheet, every time.
Where AI falls short
AI drawing review is not engineering. It's important to be direct about that.
Engineering judgment. When a code section says "approved by the authority having jurisdiction" or "as required by the engineer of record," there's no bright-line rule to check. These decisions require experience, site context, and professional judgment that AI cannot provide.
Site-specific context. AI doesn't know that the building is in a flood zone, that the existing mechanical room has a low ceiling, or that the owner has a history of deferred maintenance. These factors change how you interpret code requirements.
Local amendments. Model codes like the IBC and IMC are adopted at the state and local level, often with amendments. AI can check against the model code, but local amendments still need a human reviewer who knows the jurisdiction.
Where AI fits in the workflow
The most productive way to think about AI drawing review is as a first pass. The PE still owns the review. They still stamp the drawings, still carry the liability, still make the judgment calls. But the tedious work of checking every schedule entry, verifying every clearance dimension, and cross-referencing multiple codes gets done before the PE even opens the set.
For firms doing high-volume drawing review, especially across multiple disciplines, this shift can meaningfully change how many projects a team can handle without sacrificing quality.
The bottom line
AI-assisted drawing review is a tool, not a replacement. It's very good at catching the things that are easy to miss when you're reviewing your 15th sheet of the day. It's not good at the things that make a PE valuable: judgment, experience, and accountability.
Used well, it makes good engineers more efficient. Used as a substitute for actual engineering review, it's a liability.
Callout is an AI-assisted drawing review tool built for licensed PEs. It checks construction drawings against 33+ building codes and standards and returns findings with exact code citations and severity ratings. See an example report →