Intelligent Construction Quotation Automation
The AI Quote Generation System orchestrates 13 specialized AI agents working in parallel and sequential workflows using the ReAct (Reasoning + Acting) pattern. It automates the entire quote generation process from project requirement extraction through final document delivery, incorporating real-time market prices, weather forecasts, sustainability metrics, regulatory compliance checks, and risk assessments.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Configure AI Workflow - Project input form with fields for name, type, location, budget, and dates. Tabs for Project, Client, Preferences, and AI Agents configuration.
AI Quote Generation Pipeline - Live multi-agent orchestration showing ReAct reasoning chain, agent status, and real-time tool executions fetching market prices.
Quote Results - AI-generated quote with detailed cost breakdown (materials, labor, overhead, VAT), confidence metrics, risk level, and key highlights.
Technical Deep Dive - Enterprise observability dashboard showing LLM API calls, token usage, costs, latency metrics, and trace spans per agent.
AI Agents
Specialized autonomous agents working in coordination
Master Coordinator
Complex multi-agent workflows require intelligent coordination, task delegation, priority assignment, and conflict resolution to ensure efficient execution.
Core Logic
Coordinates all agents and manages workflow execution using the ReAct pattern. Decomposes user requests into specialized tasks, assigns work to appropriate agents, monitors progress, handles inter-agent communication, and manages workflow state transitions. Implements parallel execution where possible and sequential execution where dependencies exist. **Technical Specs:** Agent ID: orchestrator | Model: gpt-4-turbo | UI Color: #6366F1 | Icon: hub | Capabilities: task_delegation, workflow_management, agent_coordination, priority_assignment | Max Iterations: 10 | Confidence Threshold: 0.8
Project Scope Intelligence
Extracting accurate project requirements from natural language descriptions is challenging. Misunderstandings lead to incorrect quotes, scope creep, and client dissatisfaction.
Core Logic
Uses advanced NLP to extract and validate project requirements from free-form input. Performs quantity estimation, scope analysis, and requirement validation. Identifies ambiguities and requests clarification when needed. **Technical Specs:** Agent ID: requirements_analyst | Model: gpt-4-turbo | UI Color: #8B5CF6 | Icon: assignment | Capabilities: nlp_extraction, requirement_validation, quantity_estimation, scope_analysis | Tools: extract_requirements, calculate_quantities | Max Iterations: 5 | Confidence Threshold: 0.85
Climate Impact Analyst
Construction projects are highly sensitive to weather conditions. Poor planning around weather leads to costly delays, safety issues, and rework.
Core Logic
Analyzes 60-90 day weather forecasts and correlates with project timeline. Identifies high-risk weather windows, calculates workability scores for outdoor activities, and recommends optimal scheduling to minimize weather-related delays. **Technical Specs:** Agent ID: weather_intelligence | Model: gpt-3.5-turbo | UI Color: #F97316 | Icon: wb_sunny | Capabilities: weather_analysis, timeline_optimization, seasonal_planning, outdoor_work_scheduling | Tools: fetch_weather_forecast, analyze_workability, optimize_schedule_weather | Max Iterations: 3 | Confidence Threshold: 0.85
Environmental Impact Expert
Construction has significant environmental impact. Clients increasingly demand sustainable options, but contractors lack tools to calculate carbon footprints or identify eco-friendly alternatives.
Core Logic
Calculates carbon footprint for materials and transportation. Identifies eco-friendly alternative materials with comparable performance. Tracks sustainability certifications (BREEAM, HQE) eligibility and provides waste optimization recommendations. **Technical Specs:** Agent ID: sustainability_analyst | Model: claude-3-sonnet | UI Color: #22C55E | Icon: eco | Capabilities: carbon_calculation, eco_alternatives, certification_tracking, waste_optimization | Tools: calculate_carbon_footprint, find_eco_alternatives, assess_certifications | Max Iterations: 4 | Confidence Threshold: 0.88
Procurement Intelligence
Selecting the optimal supplier involves balancing price, quality, delivery time, and sustainability. Manual comparison is time-consuming and often misses the best options.
Core Logic
Uses Multi-Criteria Decision Analysis (MCDA) to evaluate and rank suppliers across multiple dimensions. Optimizes delivery routes to minimize cost and environmental impact. Monitors supplier reliability and lead times. **Technical Specs:** Agent ID: supply_chain | Model: claude-3-sonnet | UI Color: #EC4899 | Icon: local_shipping | Capabilities: mcda_analysis, route_optimization, supplier_evaluation, logistics_planning | Tools: mcda_supplier_selection, optimize_delivery_route | Max Iterations: 5 | Confidence Threshold: 0.82
Live Pricing Monitor
Material prices and labor rates fluctuate constantly. Quotes based on outdated prices lead to margin erosion or uncompetitive bids.
Core Logic
Fetches live material prices from supplier APIs and market databases. Monitors labor rate trends by trade and region. Generates price alerts when significant changes occur and identifies bulk purchasing opportunities. **Technical Specs:** Agent ID: realtime_market | Model: gpt-4-turbo | UI Color: #0EA5E9 | Icon: trending_up | Capabilities: price_monitoring, availability_tracking, market_alerts, trend_detection | Tools: fetch_live_prices, check_supply_chain_status, generate_market_alerts | Max Iterations: 3 | Confidence Threshold: 0.9
Cost Estimation Expert
Accurate cost estimation requires considering materials, labor, overhead, seasonal factors, and market conditions. Manual calculations are error-prone and inconsistent.
Core Logic
Calculates detailed costs using real-time prices, optimized labor rates, and seasonal adjustments. Applies appropriate margin analysis, VAT compliance, and competitive benchmarking to produce accurate, defensible quotes. **Technical Specs:** Agent ID: pricing_intelligence | Model: gpt-4-turbo | UI Color: #10B981 | Icon: euro | Capabilities: cost_calculation, price_benchmarking, margin_analysis, vat_compliance | Tools: calculate_material_costs, calculate_labor_costs, apply_seasonal_adjustments | Max Iterations: 5 | Confidence Threshold: 0.9
Workforce Planning Intelligence
Optimal crew configuration balances productivity, cost, and availability. Poor planning leads to overstaffing costs or understaffing delays.
Core Logic
Optimizes crew configurations based on project phases and trade requirements. Checks regional trade availability and identifies skill gaps. Plans shift schedules to maximize productivity while minimizing overtime costs. **Technical Specs:** Agent ID: labor_optimizer | Model: claude-3-sonnet | UI Color: #A855F7 | Icon: engineering | Capabilities: crew_optimization, shift_planning, skill_gap_analysis, productivity_tracking | Tools: optimize_crew_config, check_trade_availability, identify_skill_gaps | Max Iterations: 4 | Confidence Threshold: 0.87
Quantitative Risk Analyst
Construction projects face numerous risks that can derail budgets and timelines. Identifying, quantifying, and planning for these risks is essential but often overlooked.
Core Logic
Identifies project risks across categories (weather, supply chain, labor, regulatory). Uses Monte Carlo simulation to quantify risk exposure and calculate appropriate contingency reserves. Integrates weather data for risk-adjusted forecasting. **Technical Specs:** Agent ID: risk_assessor | Model: claude-3-sonnet | UI Color: #F59E0B | Icon: warning | Capabilities: risk_identification, probability_assessment, impact_analysis, mitigation_planning | Tools: assess_project_risks, calculate_contingency, monte_carlo_simulation | Max Iterations: 5 | Confidence Threshold: 0.85
Permit & Code Expert
Construction projects require multiple permits and must comply with building, electrical, and plumbing codes. Non-compliance causes delays, fines, and rework.
Core Logic
Checks permit requirements by location and project type. Schedules required inspections and verifies code compliance. Tracks regulatory timelines and alerts on upcoming requirements. **Technical Specs:** Agent ID: regulatory_compliance | Model: gpt-4-turbo | UI Color: #64748B | Icon: gavel | Capabilities: permit_tracking, inspection_scheduling, code_compliance, documentation | Tools: check_permit_requirements, schedule_inspections, verify_code_compliance | Max Iterations: 4 | Confidence Threshold: 0.92
Competitive Analysis Expert
Competitive pricing requires understanding market rates and demand trends. Without market intelligence, quotes may be uncompetitive or leave money on the table.
Core Logic
Analyzes competitor pricing for similar project types in the region. Forecasts demand using Holt-Winters methodology. Provides pricing recommendations to balance competitiveness with profitability. **Technical Specs:** Agent ID: market_analyst | Model: gpt-3.5-turbo | UI Color: #3B82F6 | Icon: insights | Capabilities: competitor_analysis, demand_forecasting, price_optimization, trend_analysis | Tools: fetch_competitor_prices, forecast_demand | Max Iterations: 5 | Confidence Threshold: 0.8
Professional Output Creator
Professional quote documents require consistent branding, comprehensive information, and multiple output formats. Manual document creation is time-consuming and inconsistent.
Core Logic
Generates professional PDF quotes with company branding. Creates supporting documentation including specifications, schedules, and sustainability reports. Supports multiple output formats and produces prioritized action items. **Technical Specs:** Agent ID: document_generator | Model: claude-3-haiku | UI Color: #06B6D4 | Icon: description | Capabilities: pdf_generation, template_rendering, branding_application, multi_format_export | Tools: generate_quote_pdf, generate_supporting_docs, generate_action_items | Max Iterations: 3 | Confidence Threshold: 0.95
Output Validation Specialist
Quote errors damage credibility and can lead to financial losses. Final outputs must be accurate, compliant, and consistent before delivery.
Core Logic
Validates all quote calculations for accuracy. Cross-checks compliance requirements. Ensures consistency across all generated documents. Enforces quality guardrails and provides final approval before delivery. **Technical Specs:** Agent ID: quality_assurance | Model: gpt-4-turbo | UI Color: #14B8A6 | Icon: verified | Capabilities: accuracy_verification, compliance_check, consistency_validation, guardrails_enforcement | Tools: validate_quote, verify_calculations | Max Iterations: 3 | Confidence Threshold: 0.95
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization