AI-Powered Supplier Switching Digital Worker
An AI agentic orchestration system coordinates specialized agents that validate customer data, generate BDEW-compliant EDIFACT messages, analyze risks, manage communications, and ensure regulatory compliance with high straight-through processing rates and reduced completion time..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Agents
Specialized autonomous agents working in coordination
Workflow Orchestrator Agent
Coordinating multiple specialized agents across a complex workflow with dependencies, exceptions, and strict deadlines requires intelligent orchestration.
Core Logic
Acts as the conductor for the entire switching workflow using Claude 3.5 Sonnet at temperature 0.3. Delegates tasks to specialized agents, monitors progress, handles exceptions, and makes routing decisions. Tracks concurrent switches with high STP rate. Tools: delegate_task, check_status, escalate, make_decision.
Data Validation Agent
Customer data must be validated against master data, MaLo databases, and regulatory requirements before switching can proceed, requiring multiple system lookups.
Core Logic
Uses GPT-4 Turbo at temperature 0.1 for deterministic validation. Verifies customer identity, validates meter points against MaLo database, performs address verification, and executes credit checks. Achieves high validation success rates. Tools: validate_customer, lookup_malo, verify_address, check_credit.
EDIFACT Generator Agent
Creating BDEW-compliant EDIFACT messages (UTILMD, MSCONS) requires precise formatting and deep domain knowledge of German energy market specifications.
Core Logic
Employs Claude 3.5 Sonnet at temperature 0.0 for fully deterministic message generation. Generates syntactically correct UTILMD messages for switching requests, MSCONS for meter data, validates against BDEW specifications. Achieves high validation pass rates. Tools: generate_utilmd, generate_mscons, validate_edifact, format_message.
Risk Analysis Agent
Identifying high-risk switching requests (fraud, credit risk, data anomalies) before processing prevents costly errors and regulatory issues.
Core Logic
Applies GPT-4 Turbo at temperature 0.2 for risk assessment. Analyzes customer history, payment patterns, and switching frequency. Detects anomalies indicating potential fraud or data quality issues. Provides risk scores with explainable factors and recommended actions. Tools: analyze_risk, detect_anomaly, predict_outcome, recommend_action.
Communication Agent
Customers and market participants require timely, personalized communications throughout the switching process across multiple channels.
Core Logic
Uses Claude 3 Haiku at temperature 0.5 for natural language generation. Creates personalized emails, SMS notifications, and portal updates. Adapts tone and content based on customer segment and communication preferences. Sends notifications across channels with high engagement rates. Tools: send_notification, generate_email, update_portal, log_communication.
Compliance Monitor Agent
Regulatory compliance (EnWG, GPKE/WiM, GDPR) requires continuous monitoring, documentation, and audit trail maintenance across all operations.
Core Logic
Employs GPT-4 Turbo at temperature 0.1 for compliance verification. Monitors SLA deadlines (GPKE timelines), validates regulatory requirements, generates audit logs, and produces compliance reports. Achieves high SLA compliance rates. Tools: check_sla, verify_compliance, log_audit, generate_report.
Dynamic Pricing Agent
Customers seeking optimal tariffs need real-time analysis of spot market prices, consumption patterns, and available offers to maximize savings.
Core Logic
Leverages Claude 3.5 Sonnet to analyze EPEX/EEX spot market data for DE-LU market zone. Forecasts price trends, optimizes tariff recommendations based on customer load profiles, and calculates potential savings. Identifies optimal consumption windows for time-of-use tariffs. Tools: fetch_spot_prices, forecast_prices, optimize_tariff, calculate_savings.
Carbon Footprint Agent
EU Green Deal compliance and customer sustainability demands require tracking and verification of carbon emissions and renewable energy certificates.
Core Logic
Uses Claude 3.5 Sonnet to calculate carbon emissions based on energy mix, track renewable share percentages, and verify green certificates (GO, REGO, I-REC). Provides sustainability reports for corporate customers and recommends carbon offset options. Tools: calculate_emissions, track_renewable_share, verify_green_certificates, recommend_offsets.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization