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Online: 3K+ Agents Active
Digital Worker 8 AI Agents Active

Carbon & Supply Chain Optimization Digital Worker

Deploys an 8-agent mission-based system that ingests company data, calculates GHG Protocol emissions across all scopes, analyzes supply chain carbon intensity, assesses regulatory compliance (CBAM/CSRD), identifies optimization opportunities, and generates decarbonization roadmapsβ€”with autonomous action execution for high-confidence decisions..

8 AI Agents
6 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: carbon-supply-chain-optimization-worker

Problem Statement

The challenge addressed

Organizations face mounting pressure to measure, report, and reduce carbon emissions while managing complex global supply chains. Manual carbon accounting is error-prone and disconnected from supply chain decisions. CBAM and CSRD regulations create n...

Solution Architecture

AI orchestration approach

Deploys an 8-agent mission-based system that ingests company data, calculates GHG Protocol emissions across all scopes, analyzes supply chain carbon intensity, assesses regulatory compliance (CBAM/CSRD), identifies optimization opportunities, and gen...
Interface Preview 4 screenshots

AI Carbon Intelligence Command Center displaying system health, mission statistics, agent fleet status, and real-time CBAM compliance tracking across multiple LLM APIs

Mission input data review interface organizing company information, Scope 1/2/3 emissions data, supplier details, and compliance requirements for comprehensive carbon analysis

Live mission execution view showing coordinated agent fleet activity with data ingestion, carbon calculation, and supply chain analysis running in parallel with real-time output streams

Mission completion results dashboard presenting total emissions breakdown, current carbon costs, savings opportunities, critical action items, and decarbonization roadmap recommendations

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

8 Agents
Parallel Execution
AI Agent

Mission Orchestrator Agent

Carbon and supply chain analysis involves interdependent calculations requiring careful sequencing. Without orchestration, analyses produce inconsistent or incomplete results.

Core Logic

Coordinates mission execution across six phases: data ingestion, carbon calculation, supply chain analysis, risk assessment, optimization, and report generation. Manages agent dependencies ensuring upstream data is available before downstream processing. Handles autonomous action approval based on confidence thresholds. Maintains mission state and progress tracking. Generates executive summaries synthesizing all agent outputs.

ACTIVE #1
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AI Agent

Data Ingestion Agent

Carbon accounting data comes from disparate sources in inconsistent formats. Data quality issues propagate through calculations causing material misstatements.

Core Logic

Processes input data from ERP systems, utility bills, fuel records, travel systems, and supplier declarations. Validates data against schema requirements and business rules. Performs format conversion and unit standardization. Identifies data gaps and applies appropriate estimation methods with uncertainty flags. Deduplicates records and reconciles against financial data for completeness checks.

ACTIVE #2
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AI Agent

Carbon Calculator Agent

GHG Protocol calculations require correct scope categorization, emission factor selection, and uncertainty quantification. Errors result in non-compliant reporting and reputational risk.

Core Logic

Calculates emissions across all GHG Protocol scopes: Scope 1 (stationary combustion, mobile sources, process emissions, fugitive emissions), Scope 2 (location-based and market-based electricity, heating/cooling), and Scope 3 (15 categories from purchased goods through investments). Applies appropriate emission factors from regulatory databases (DEFRA, EPA, ecoinvent). Quantifies uncertainty ranges using Monte Carlo simulation. Generates audit-ready calculation documentation.

ACTIVE #3
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AI Agent

Supply Chain Analyst Agent

Scope 3 emissions dominate most corporate footprints but visibility into supply chain carbon intensity is limited. Supplier selection ignores carbon impact.

Core Logic

Maps supply chain emissions by supplier, product category, and geographic origin. Calculates carbon intensity metrics (tCO2e per unit, per revenue, per weight). Identifies emission hotspots using Pareto analysis of supplier contributions. Models logistics route alternatives comparing carbon and cost trade-offs. Analyzes modal shift opportunities (sea vs. air, rail vs. truck) with transit time impacts.

ACTIVE #4
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AI Agent

Compliance Agent

CBAM, CSRD, and SBTi commitments create complex compliance obligations with calculation requirements, reporting formats, and deadlines that vary by jurisdiction.

Core Logic

Assesses CBAM applicability based on product categories and import volumes. Calculates embedded emissions per CBAM methodology using actual or default values. Estimates certificate costs and surrender requirements. Tracks regulatory deadlines across CBAM transition period, CSRD reporting, and SBTi milestones. Generates compliant declaration documents and audit evidence packages. Monitors regulatory updates and assesses impact on compliance strategy.

ACTIVE #5
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AI Agent

Risk Assessment Agent

Supply chain risks from carbon regulation, climate events, and transition pressures are poorly understood. Risk assessments are qualitative and disconnected from procurement decisions.

Core Logic

Evaluates suppliers using TOPSIS multi-criteria scoring across carbon intensity, regulatory exposure, transition readiness, physical climate risk, and financial stability. Monitors real-time risk signals including carbon price movements, regulatory announcements, weather events, and supplier news. Calculates risk-adjusted supplier costs including potential carbon border adjustments. Generates supplier risk rankings with mitigation recommendations.

ACTIVE #6
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AI Agent

Recommendation Engine Agent

Carbon reduction opportunities exist across energy, logistics, procurement, and operations but are not systematically identified or prioritized by business value.

Core Logic

Identifies optimization opportunities across categories: energy efficiency, renewable procurement, logistics optimization, supplier engagement, process improvement, and circular economy. Quantifies emission reduction potential (tCO2e) and cost impact (savings or investment) for each opportunity. Evaluates implementation effort and payback period. Ranks opportunities using multi-criteria optimization balancing carbon impact, cost, and feasibility. Generates implementation roadmaps with dependencies and milestones.

ACTIVE #7
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AI Agent

Report Generator Agent

Stakeholders require carbon information in different formats and detail levels. Manual report creation is time-consuming and inconsistent.

Core Logic

Generates tailored reports for multiple audiences: executive summaries for leadership, technical reports for sustainability teams, compliance documents for regulators, and supplier scorecards for procurement. Creates visualization dashboards with emission breakdowns, trend analysis, and benchmark comparisons. Produces audit-ready documentation with methodology descriptions, data sources, and calculation details. Exports in multiple formats including PDF, Excel, and machine-readable XML for regulatory submission.

ACTIVE #8
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

An enterprise carbon intelligence platform using autonomous agent orchestration to transform raw emissions data into actionable decarbonization strategies with integrated supply chain optimization, real-time market intelligence, and regulatory compliance automation.

Tech Stack

6 technologies

GHG Protocol emission factor databases (DEFRA, EPA, ecoinvent)

Real-time carbon market feeds (EU ETS, UK ETS prices)

CBAM product category classification engine

Supply chain mapping and tier-n visibility

TOPSIS multi-criteria supplier scoring

Autonomous action execution with approval thresholds

Architecture Diagram

System flow visualization

Carbon & Supply Chain Optimization Digital Worker Architecture
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