Process construction change orders using CWICR data. Calculate cost impact, compare to original estimate, and generate change order documentation.

Track regulatory compliance for construction projects. Monitor permits, certifications, inspections, and regulatory requirements with automated alerts and reporting.

Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.

Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.

Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.

Update CWICR resource rates with current market prices. Integrate external price data, apply inflation adjustments, and maintain rate history.

Compare and analyze contractor bids. Score proposals, identify scope gaps, and recommend selections.

Document construction claims for disputes and recovery. Compile evidence, calculate damages, track notice requirements, and prepare claim packages.

Track construction submittals through the review process. Manage approvals, revisions, and compliance.

Build no-code/low-code automation workflows for construction using n8n. Automate data extraction, cost estimation, report generation, and system integrations without writing code.

Manage construction change orders from request to approval. Track costs, schedule impacts, and maintain audit trail for dispute prevention.

Extract and analyze data from construction ERP systems. Pull project data for analytics, reporting, and integration.

JSON/data schema validation for construction data exchange: API payloads, file imports, BIM exports. Ensure data structure compliance before processing.

Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.

Build construction project estimates. Generate detailed cost breakdowns with labor, materials, equipment, and overhead.

Multi-project portfolio analytics dashboard. Aggregate KPIs across projects, track portfolio health, compare performance, and support executive decision-making.

Optimize shared resource pools across multiple construction projects. Balance resource allocation, minimize conflicts, and maximize utilization across the portfolio.

AI-powered contractor matching and selection for construction projects. Analyze contractor capabilities, past performance, certifications, and project requirements to recommend optimal matches.

Convert CAD/BIM files to structured data. Extract element data from Revit, IFC, DWG, DGN files.