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AI Recommendation Engine for Design Validation (POC)
Lead Solution Architect – AI & Data Analytics
Client Scenario
A government Construction body needed a fast and reliable way to validate design submissions, reduce manual review time, and improve compliance accuracy.
Challenges
Manual validation causing delays
Inconsistent design quality checks
Limited visibility into design deviations
Increasing backlog of submissions
Our Solution & Approach
We deployed a Multimodal Design Validation Framework capable of ingesting 2D drawings, Level-3 BIM models, and blueprint documents. Inputs were standardized through an automated data-cleansing pipeline and aligned to government SOPs. A dual-layer engine—ML models trained on historical compliant designs + a rule-based validator mapped to SOP constraints—performed structural, dimensional, and compliance checks. A deviation-detection module highlighted non-matching elements, while an explainable API layer delivered traceable, audit-ready recommendations.
Impact Metrics
60% faster validation cycles
30% reduction in design errors
Improved compliance scoring accuracy by 25%
Higher throughput for design review teams
Tech Stack
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