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Enterprise Multi-Agent Compliance Orchestration System

Deploys 10 AI agents using Chain-of-Thought reasoning and ReAct architecture. Agents ingest data, map regulations, identify gaps, assess risk, optimize schedules, and generate reports autonomously with real-time IoT integration.

10 AI Agents
1 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: AI-Powered Compliance Intelligence

Problem Statement

The challenge addressed

Fire protection providers face complexity managing compliance across hundreds of properties. Manual tracking leads to missed inspections, expired certifications, regulatory violations, and liability exposure across diverse regulations and system type...

Solution Architecture

AI orchestration approach

Deploys 10 AI agents using Chain-of-Thought reasoning and ReAct architecture. Agents ingest data, map regulations, identify gaps, assess risk, optimize schedules, and generate reports autonomously with real-time IoT integration.
Interface Preview 4 screenshots

AI Compliance Intelligence Configuration

Agent Orchestration Engine with ReAct Reasoning

IoT Sensor Analysis and ESG Dashboard

Action Planning with Impact Summary

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

10 Agents
Parallel Execution
AI Agent

AI Workflow Coordinator

Complex compliance requires coordination of multiple AI capabilities in correct order with proper data handoffs.

Core Logic

Decomposes missions into parallel/sequential workstreams, assigns tasks to agents, manages inter-agent communication, tracks progress, resolves conflicts, and synthesizes final reports using Chain-of-Thought reasoning.

ACTIVE #1
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AI Agent

Portfolio Data Processor

Compliance analysis requires validated data from multiple sources with inconsistencies and missing values.

Core Logic

Connects to databases, validates integrity (99.7% completeness), applies transformations, handles imputation, creates unified data model, and documents all quality issues for audit traceability.

ACTIVE #2
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AI Agent

Regulatory Intelligence Specialist

French fire regulations are complex and system-specific across building types (ERP, IGH, ICPE) and system types.

Core Logic

Maintains knowledge base of APSAD R1-R17, NF EN standards, Code du Travail. Identifies applicable regulations, inspection frequencies, certification requirements, and produces regulatory obligation matrix.

ACTIVE #3
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AI Agent

Gap Analysis Specialist

Identifying gaps requires comparing thousands of data points across systems with varying schedules.

Core Logic

Compares maintenance history and certification status against regulatory matrix. Calculates days until inspection, identifies overdue items, flags expired certifications, assigns severity scores with confidence levels.

ACTIVE #4
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AI Agent

Financial Risk Modeler

Compliance gaps carry financial consequences including fines, insurance increases, and liability exposure.

Core Logic

Uses Monte Carlo simulation to model financial impact. Considers inspection probability, fine amounts, insurance implications, runs thousands of simulations for expected value and 95th percentile scenarios.

ACTIVE #5
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AI Agent

Inspection Planning Specialist

Scheduling inspections across properties respecting deadlines, availability, and budget is complex.

Core Logic

Formulates scheduling as constraint satisfaction. Considers regulatory deadlines, technician certifications, geographic clustering, budget limits, and risk priorities to ensure zero missed deadlines.

ACTIVE #6
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AI Agent

Multi-Audience Communication Specialist

Different stakeholders need different views: executives need dashboards, technicians need work orders.

Core Logic

Synthesizes findings into role-specific reports: executive summaries, compliance matrices, work orders, and audit packages in PDF, HTML, Excel, PowerPoint formats with automated scheduling.

ACTIVE #7
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AI Agent

Real-Time Sensor Intelligence

Traditional monitoring only detects issues during periodic inspections, missing slow degradation.

Core Logic

Connects to sensor streams at 1Hz sampling for pressure, temperature, flow. Applies edge analytics for anomaly detection, correlates with baselines, generates immediate alerts for proactive intervention.

ACTIVE #8
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AI Agent

Failure Prediction Specialist

Reactive maintenance causes expensive emergency repairs and compliance violations.

Core Logic

Uses Weibull analysis and ML models on historical failure data to predict failure probability. Calculates remaining useful life and prioritizes systems for preventive maintenance.

ACTIVE #9
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AI Agent

Sustainability & Governance Specialist

Enterprises must report ESG metrics for maintenance operations environmental impacts.

Core Logic

Calculates carbon footprint, tracks water consumption, monitors safety metrics. Generates ESG reports aligned with GRI, SASB, TCFD frameworks for sustainability reporting.

ACTIVE #10
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

Multi-agent AI system with 10 specialized agents collaborating through message passing, shared memory, and tool-calling. Implements LLM reasoning traces for transparency and maintains context-aware analysis.

Tech Stack

1 technologies

RxJS, WebSocket connections, regulatory knowledge base (APSAD, NF EN, Code du Travail), IoT gateway, Monte Carlo engine, report generator

Architecture Diagram

System flow visualization

Enterprise Multi-Agent Compliance Orchestration System Architecture
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