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Online: 3K+ Agents Active
Digital Worker 5 AI Agents Active

AI Carbon Analysis Digital Worker

Deploys a coordinated multi-agent AI system that autonomously analyzes BIM models, material specifications, and supply chain data to calculate embodied carbon with precision. The orchestrated agents identify hotspots, generate ESG scores, run what-if scenarios for design alternatives, and produce comprehensive sustainability reports with circular economy metrics and year-by-year carbon reduction pathways.

5 AI Agents
5 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: carbon-analysis-agent

Problem Statement

The challenge addressed

Infrastructure projects face increasing pressure to reduce embodied carbon and meet Net Zero 2030 commitments. Manual carbon assessment is time-consuming, error-prone, and lacks the granularity needed for optimization. Project teams struggle to ident...

Solution Architecture

AI orchestration approach

Deploys a coordinated multi-agent AI system that autonomously analyzes BIM models, material specifications, and supply chain data to calculate embodied carbon with precision. The orchestrated agents identify hotspots, generate ESG scores, run what-if...
Interface Preview 4 screenshots

Project configuration screen with carbon targets, budget settings, and analysis scope options for materials, transport, and construction phases.

Multi-agent orchestration view showing AI agents collaborating with real-time execution log, reasoning traces, and progress tracking.

Analysis results dashboard with executive summary, key findings, PAS 2080:2023 compliance status, risk assessment, and agent performance metrics.

Carbon reduction recommendations with material substitution options, cost impacts, confidence scores, and implementation timelines.

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

5 Agents
Parallel Execution
AI Agent

Orchestration Agent

Complex carbon analysis requires coordination across multiple specialized agents, managing task delegation, progress monitoring, and synthesizing results from parallel workstreams into coherent outputs.

Core Logic

Serves as the central coordinator managing the multi-agent workflow. Delegates tasks to specialized agents based on capabilities, monitors execution progress, handles inter-agent communication and handoffs, resolves conflicts through deliberation, and synthesizes individual agent outputs into unified analysis results. Maintains workflow state and ensures all agents complete their assigned tasks.

ACTIVE #1
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AI Agent

Data Analyst Agent

Raw project data from BIM models, spreadsheets, and databases requires extraction, transformation, and statistical analysis to identify patterns, anomalies, and carbon hotspots.

Core Logic

Parses BIM models and Excel data files to extract material quantities, element classifications, and spatial relationships. Performs statistical analysis to identify carbon-intensive elements, calculates embodied carbon using EPD databases, and generates visualizations showing carbon distribution across building systems. Uses tools for data extraction, carbon calculation, and chart generation.

ACTIVE #2
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AI Agent

Domain Expert Agent

Carbon analysis requires deep construction industry expertise to interpret data in context, benchmark against standards like PAS 2080, and generate recommendations aligned with water sector best practices.

Core Logic

Applies construction and sustainability domain knowledge to interpret analysis results. Benchmarks project carbon intensity against RICS NRM databases and industry percentiles. Identifies design optimization opportunities, evaluates alternative materials and methods, and generates recommendations considering UK Building Regulations, CDM 2015, and BREEAM requirements. Provides context-aware insights based on water infrastructure project experience.

ACTIVE #3
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AI Agent

Validator Agent

AI-generated analysis may contain hallucinations, calculation errors, or recommendations that violate regulations. Quality assurance is essential before delivering outputs to stakeholders.

Core Logic

Performs comprehensive validation of all agent outputs through guardrail checks including input/output validation, hallucination detection, schema enforcement, and regulatory compliance verification. Cross-references calculations against source data, validates recommendations against applicable standards, and ensures deliverables meet quality thresholds. Flags issues with confidence scores and requests corrections from originating agents.

ACTIVE #4
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AI Agent

Report Generator Agent

Stakeholders require professional, well-formatted deliverables including executive summaries, technical reports, and presentations suitable for client submissions and regulatory compliance.

Core Logic

Compiles validated analysis results into polished deliverables across multiple formats. Generates executive summaries with key findings and recommendations, technical PDF reports with detailed carbon breakdowns, Excel registers for data export, and PowerPoint presentations for stakeholder briefings. Creates visualizations including carbon pathway charts, ESG score cards, and supply chain carbon maps. Ensures consistent branding and professional formatting.

ACTIVE #5
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

A three-screen agentic workflow enabling carbon footprint analysis through coordinated AI agents. Users configure project parameters and data sources, observe real-time multi-agent execution with reasoning traces, and receive enhanced deliverables including ESG scores, carbon pathways, and actionable recommendations.

Tech Stack

5 technologies

LLM Provider Integration (Anthropic Claude, OpenAI GPT-4, Azure OpenAI)

Vector Database (Pinecone, Weaviate, ChromaDB, Qdrant)

BIM Model Support (IFC, RVT file parsing)

Real-time Event Streaming (WebSocket/SSE)

Guardrail System (hallucination detection, PII filtering, schema validation)

Architecture Diagram

System flow visualization

AI Carbon Analysis Digital Worker Architecture
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