What Is Automated Code Compliance Checking?
Building codes are mostly measurable: clearances, widths, counts, and ratings. Automated code compliance checking turns those measurable requirements into checks that software can run against a drawing set. This page defines the term, covers which codes can be checked, explains the limits, and flags the one pitfall that breaks every automated check.
Which codes can be checked automatically?
The codes most suited to automated checking are the ones with prescriptive, geometric requirements:
- IBC: egress width, travel distance, occupancy separation, and fire-rated assembly continuity — see IBC egress width requirements.
- NEC: working-space clearances under 110.26 and equipment access — the single most-flagged code section in our code violation frequency report.
- NFPA 13 & 101: sprinkler obstruction and clearance, and life-safety provisions.
- ADA / ICC A117.1: clear floor space, maneuvering clearances, and mounting heights.
- Energy codes (ASHRAE 90.1, IECC): partially checkable where the data is on the drawings.
Explore the full matrix of code-and-discipline checks on our code check pages, or search the codes themselves in our building code reference.
How is it different from AI plan review?
Automated code compliance checking is a subset of AI plan review. AI plan review covers every category of drawing issue — coordination, dimensions, completeness, and code. Automated code checking is the code-specific slice: the rules and AI focused on whether the documents satisfy building-code requirements. A full plan review platform usually includes code checking as one of several capabilities.
The wrong-edition trap
The most important caveat in automated code checking is the one that has nothing to do with the software’s intelligence: it is only as correct as the code edition it is pointed at. Jurisdictions adopt editions of the IBC and NEC/NFPA on their own timelines, often with state amendments. Checking a set against the 2026 NEC is meaningless if the authority having jurisdiction enforces an earlier adopted edition. Confirm the adopted edition and local amendments before running any automated check.
What it can and can’t do
Automated checking reliably handles prescriptive, measurable requirements. It does not make the judgment calls a plan examiner or design professional makes — alternative means and methods, performance-based compliance paths, or interpreting how an unusual condition maps to code intent. It changes what the professional spends time on, and the licensed professional remains accountable. We go deeper on the reliability question in is AI plan review reliable enough to catch code violations.
How Helonic helps
Helonic includes automated code compliance checking as part of its AI drawing review: point it at the adopted edition, and it checks the measurable IBC, NEC, NFPA, and ADA / A117.1 requirements against the conditions shown across your 2D PDF set, flagging each issue with the page location and governing code reference. Explore the dedicated code compliance, egress compliance, and accessibility checking capabilities.
Practitioner insight
“Automating code checking sounds like the hard part is the codes. It isn't — it's the editions. We've watched teams run a flawless check against the wrong adopted edition and walk into a permit rejection. The rules engine is the easy 90%; pointing it at the right edition is the 10% that decides whether the output is usable.”
— Source: Conversations with code consultants and plan examiners at jurisdictions and code-consulting firms, synthesized from Helonic's discipline-side interviews, Q1–Q2 2026.
Automated Code Compliance FAQ
What is automated code compliance checking?
Which building codes can be checked automatically?
Is automated code compliance checking the same as AI plan review?
Can automated code checking replace a plan examiner or licensed professional?
What is the biggest pitfall in automated code compliance checking?
How accurate is automated code compliance checking?
Manas Gandhi
Co-founder & CTO, HelonicManas is the co-founder and CTO of Helonic, where he leads engineering and AI research for construction drawing analysis. He works directly with structural, MEP, civil, and fire protection engineers to translate the way they review drawings into AI systems that flag the issues that actually matter in the field. Before Helonic, he built machine learning pipelines for technical document understanding and has spent the last several years interviewing licensed design engineers and discipline leads to ground product decisions in real practice rather than industry assumptions.
- AI for technical document understanding
- Cross-discipline coordination workflows
- Code compliance automation (IBC, NEC, NFPA, IPC, IMC, ASCE)
- Structural and MEP drawing review systems
How this page was researched: Definition and scope grounded in Helonic's automated code-checking capability and review corpus (1,000+ project reviews, 100,000+ pages analyzed, 150,000+ issues identified) through Q2 2026, cross-referenced with the published structure of the IBC, NEC, NFPA 13/101, ADA Standards, and ICC A117.1. Editions enforced vary by jurisdiction; confirm the adopted edition before relying on any automated check.
Last reviewed by Manas Gandhi · June 2026
