Stop Structural RFIs Before the Contractor Submits Them
Structural RFIs cluster around the same patterns. Helonic catches them at design.
Structural engineers respond to more RFIs per project than any other design discipline. Most RFIs cluster around predictable patterns - undimensioned connections, missing reinforcement details, ambiguity at existing-new interfaces, slab depression dimensions not coordinated with finishes. Helonic was trained on thousands of structural RFIs and surfaces these patterns automatically before the contractor sees the set.
Why structural takes the most RFIs
Structural drawings are referentially dense and field-execution-critical. Anything ambiguous gets RFI'd. We surveyed structural RFI logs across multiple projects and the same five categories recurred: reinforcement detailing gaps, connection ambiguities, dimension conflicts, existing-condition uncertainties, and finish-coordination questions. Helonic targets all five.
How Helonic helps
Pattern-trained RFI candidate detection
Trained on the documentation patterns that historically correlate with structural RFIs.
Connection detail completeness
Every connection referenced in the structural drawings checked for detail completeness.
Existing-new interface clarification
Renovation and addition projects get focused attention on existing-to-new structural connections.
Finish coordination check
Slab depressions, beam pocketing, and embed locations cross-checked against architectural finish information.
Example issues Helonic catches
Real-world issues detected by AI analysis, specific to structural engineers running rfi reduction:
Reinforcement at re-entrant corner on slab shown but bar size and spacing not noted - RFI likely
Existing wall removal limit at grid C ambiguous - partial vs. full removal not clear from drawings
Connection of new steel to existing concrete at grid A referenced as 'see detail' but no detail provided
Slab depression at shower S-12 shown 3/4" deep on architectural but not coordinated on structural slab plan
Embed plate at grid B-4 referenced on structural but no embed plate detail provided
Mechanical equipment dunnage details show vibration isolation but spring rates not specified
Key features for this workflow
Structural RFI pattern recognition from construction logs
Connection detail completeness audit
Reinforcement detailing gap detection
Existing-new interface ambiguity surfacing
Slab depression and embed coordination
RFI-ready format export
Structural RFI prevention
Run pre-IFC
Just before issuing IFC structural drawings.
Review candidates by RFI likelihood
Ranked by training data correlation.
Resolve as drawing revisions
Add details, clarify dimensions, eliminate ambiguity at design time.
Issue cleaner set
Lower RFI count in CA, less unbilled construction-phase time.
What construction professionals told us
“Structural engineers we talked with said the moment they realized their projects were generating 200+ RFIs each, they knew most of it was documentation. They wanted a way to find and fix the patterns before issue.”
Conversations with senior structural engineers managing CA across multiple concurrent projects.
FAQs
How much can it actually reduce structural RFIs?
Engineers we work with see 30–40% reduction in structural RFIs when Helonic is used pre-IFC, with the largest reductions on renovation and addition projects.
Does it generate the RFIs for the team to respond to?
No - it generates clarifications to add to the drawings before issue. The point is to never receive the RFI.
Can we use it during CA too?
Yes - running on a current set during CA helps the team prepare for likely RFIs and respond faster.
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: Conversations with senior structural engineers managing CA across multiple concurrent projects.
Last reviewed by Manas Gandhi · May 2026
Other use cases for structural engineers
RFI Reduction for other roles
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