Understand how InferTrust™ AEC creates verifiable decision records for AI-assisted structural analysis, load calculations, and member sizing reviews.
Structural design review involves complex engineering judgment: load path analysis, member sizing, connection design, and code compliance across multiple standards. When AI assists in these reviews, the engineering decisions must be traceable, auditable, and defensible. InferTrust™ AEC (Patent Pending) creates a sealed decision record for every AI-assisted structural analysis event, capturing the full context of the engineering evaluation.
For each structural analysis event, InferTrust™ AEC records the analysis model version and configuration, the applicable code editions (ASCE 7 for loads, ACI 318 for concrete design, AISC 360 for steel design, NDS for wood construction), the load combinations evaluated and their parameters (dead, live, wind, seismic, snow, and special loading conditions), the member or connection being evaluated, the demand-to-capacity ratios computed, and the resulting decision action (STRUCT_PASS, STRUCT_FLAG, STRUCT_FAIL, or STRUCT_ESCALATE). Each record is cryptographically sealed with timestamps and sequence counters, creating a tamper-evident chain that documents the structural review process.
Structural codes are updated on regular cycles, and different projects may reference different editions. InferTrust™ AEC hashes the specific code edition used for each check. If an AI tool evaluates a concrete beam per ACI 318-19, the record proves that edition was used, not ACI 318-14 or a draft of ACI 318-25. The analysis parameters (seismic design category, risk category, wind speed, ground snow load, soil class) are also fingerprinted, ensuring that any later question about whether the correct site-specific parameters were used can be answered definitively.
AI-assisted structural analysis does not replace the licensed structural engineer's professional judgment. InferTrust™ AEC is designed to support the PE/SE review workflow by clearly documenting the boundary between AI-generated analysis and professional engineering approval. The decision chain shows what the AI computed, what flags or concerns it identified, and the separate professional determination where the PE or SE reviewed and approved (or modified) the AI output. This creates a clear record that supports professional liability defense while giving the engineer confidence in documenting their oversight of AI tools.
Complete load path verification, tracing loads from roof to foundation, requires evaluating dozens or hundreds of individual members and connections. InferTrust™ AEC maintains referential integrity across these evaluations, linking individual member checks into a coherent load path record. If any single element in the load path is later questioned, the full chain of analysis decisions is available with cryptographic proof of when each evaluation occurred and what parameters governed it.