For Civil Engineers · Pre-Permit Review

Civil Pre-Permit Review for the Site Plan Reviewer's Checklist

Site plan reviewers check spot elevations, slope analysis, and utility separations. Helonic checks the same items first.

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Manas Gandhi · Co-founder & CTO, Helonic · Reviewed May 2026

Civil pre-permit review is dominated by dimensional checks: spot elevations that add up, slopes that don't exceed maximums, utility separations that meet minimums, accessible routes that comply end-to-end. The site plan reviewer at the AHJ will check these items by recomputing from the drawings; Helonic does the same recomputation first.

How Helonic helps

Spot-elevation accessible route analysis

Helonic computes accessible route slopes between every spot elevation along the route and flags non-compliant segments.

Utility separation verification

Horizontal and vertical separations between water, sewer, gas, electric, and communications checked against utility code requirements.

Stormwater drainage analysis

Drainage paths traced from contours and spot elevations; ponding areas identified.

Fire access verification

Fire department access road dimensions, hammerhead turns, and aerial apparatus access checked against IFC and local FD requirements.

What civil plan check actually flags

Civil site plans get returned for the same items across jurisdictions: ADA accessible route slopes computed from spot elevations, stormwater volume reconciliation between the SWMP and the grading plan, utility separation horizontal distances, fire access road dimensions, and ADA-accessible parking layout. Helonic checks every one against the drawing data.

Civil pre-permit workflow

1

Upload civil drawings and SWMP

Grading, utility, drainage, erosion control, SWMP all indexed.

2

Run dimensional analysis

Slopes, separations, dimensions all checked against code requirements.

3

Review by severity

Hard violations first, then documentation drift.

4

Resolve and re-run

Address findings, re-run before submission.

Example issues Helonic catches

Real-world issues detected by AI analysis, specific to civil engineers running pre-permit review:

Accessible route from parking to entry: max slope 1:11.5 computed from spot elevations between stations 0+00 and 0+45 (1:12 max per ADA)

Water main at station 1+25 within 5'-0" of sanitary sewer - most jurisdictions require 10'-0" min horizontal separation

Stormwater drainage from parking lot directs to inlet I-2 but contour analysis shows ponding at low point not draining

Fire access road dimension 18'-0" but IFC Appendix D requires 20'-0" min for aerial apparatus

ADA-accessible parking space layout shows 8'-0" wide aisle for van-accessible space - ADA 502.3.4 requires 8'-0" + adjacent striping

Erosion control SWPPP doesn't show silt fence at downstream property line

Key features for this workflow

Spot-elevation-based accessible route slope analysis

Stormwater drainage path tracing from contours

Utility separation horizontal and vertical distance checks

Fire access road dimensional verification

ADA-accessible parking layout compliance

Erosion control SWPPP element coverage

What construction professionals told us

Civil engineers we talked with said site plan check correction notices were the most predictable category in their portfolio - same items every cycle, same dimensional checks the AHJ would run. They wanted automated dimensional verification before submission.

Conversations with licensed civil engineers and PEs at site development firms.

FAQs

Does it work with CAD or only PDF?

PDF is the standard input. We're piloting CAD ingest with selected partners for higher-precision dimensional checks.

Can it handle wetland and floodplain regulations?

Helonic supports custom rule packs for wetland, floodplain, and other environmental regulation overlays per AHJ.

What about stormwater modeling?

Helonic checks drainage documentation and SWMP consistency. It doesn't replace hydrologic modeling but verifies the modeling inputs are consistent with the drawings.

MG

Manas Gandhi

Co-founder & CTO, Helonic

Manas 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.

Areas of focus
  • 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: Conversations with licensed civil engineers and PEs at site development firms.

Last reviewed by Manas Gandhi · May 2026

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