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System Status
Online: 3K+ Agents Active
Digital Worker 10 AI Agents Active

AI Agentic Safety Analysis Digital Worker

Orchestrates a team of 10 specialized AI agents that analyze construction activities against comprehensive hazard databases, real-time environmental data, and regulatory frameworks. Automatically identifies hazards, assesses risk levels, generates PPE requirements, defines safety zones, and produces CDM 2015-compliant method statements.

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

Problem Statement

The challenge addressed

Construction activities such as excavation, confined space entry, crane lifting, and hot works carry significant safety risks. Manual hazard identification is inconsistent, risk assessments may miss critical factors, and generating compliant method s...

Solution Architecture

AI orchestration approach

Orchestrates a team of 10 specialized AI agents that analyze construction activities against comprehensive hazard databases, real-time environmental data, and regulatory frameworks. Automatically identifies hazards, assesses risk levels, generates PP...
Interface Preview 4 screenshots

Activity configuration wizard with quick start templates for deep excavation, heavy crane lifting, and confined space entry scenarios.

Multi-agent orchestration with OpenTelemetry distributed tracing showing specialized safety agents with span IDs and LLM model assignments.

Safety analysis results with executive summary showing hazards identified, control measures, compliance score, and critical actions required.

AI Insights view with confidence scoring, autonomous decisions requiring human review, supporting evidence, and alternative recommendations.

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

10 Agents
Parallel Execution
AI Agent

Safety Orchestration Agent

Safety analysis requires coordinating multiple specialist agents across hazard identification, compliance checking, and documentation generation while maintaining audit trails.

Core Logic

Manages the complete safety analysis workflow by delegating tasks to specialist agents based on activity type and project context. Coordinates parallel execution of hazard identification and compliance checking, sequences documentation generation, and maintains distributed traces for audit purposes. Handles inter-agent communication and synthesizes outputs into unified safety packages.

ACTIVE #1
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AI Agent

Hazard Identification Agent

Construction activities expose workers to multiple hazard categories including falls, struck-by incidents, electrical contact, and confined space risks. Manual identification may miss hazards or underestimate severity.

Core Logic

Analyzes activity descriptions against comprehensive hazard taxonomies covering fall hazards, struck-by risks, caught-between scenarios, electrical hazards, confined space risks, and environmental exposures. Uses activity templates and historical incident data to identify all applicable hazards. Assigns severity and likelihood ratings using standardized risk matrices, generating prioritized hazard registers with suggested control measures.

ACTIVE #2
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AI Agent

BIM Safety Analyzer Agent

Spatial hazards in construction sites require 3D geometric analysis to identify fall edges, exclusion zones, equipment swing paths, and underground utility conflicts that 2D plans may not reveal.

Core Logic

Parses BIM models to extract geometric data including excavation depths, structural edges, equipment dimensions, and utility locations. Performs spatial indexing using Octree algorithms to identify clash zones and safety clearance violations. Maps hazard zones in 3D coordinates with grid references, enabling visualization of exclusion areas, restricted zones, and safe access routes on site plans.

ACTIVE #3
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AI Agent

Regulatory Compliance Agent

Construction activities must comply with complex regulatory frameworks including CDM 2015, UK Building Regulations, and BS standards. Non-compliance risks enforcement action, project delays, and safety incidents.

Core Logic

Cross-references activity parameters against applicable regulatory databases covering CDM 2015 duties, Working at Height Regulations, Confined Space Regulations, LOLER/PUWER equipment requirements, and environmental permits. Identifies compliance gaps, required notifications, and permit conditions. Generates compliance checklists and links control measures to specific regulatory clauses for audit defense.

ACTIVE #4
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AI Agent

PPE Requirements Agent

Different activities and hazards require specific personal protective equipment. Incorrect or missing PPE specification exposes workers to injury and creates compliance failures.

Core Logic

Maps identified hazards to appropriate PPE categories including head, eye, hearing, respiratory, hand, foot, fall arrest, and high-visibility protection. Specifies required protection standards (EN ratings), inspection frequencies, and training requirements. Generates PPE matrices by activity zone and role, ensuring all workers receive appropriate protection specifications in work permits.

ACTIVE #5
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AI Agent

Real-Time Context Agent

Safety conditions change based on weather, site status, material deliveries, and workforce availability. Static risk assessments fail to account for dynamic site conditions.

Core Logic

Integrates live data feeds including weather forecasts (wind speed, precipitation, temperature), material delivery schedules, workforce skill certifications, equipment inspection status, and supply chain disruptions. Adjusts risk ratings based on current conditions, triggers weather-related work suspensions, and validates that required competent persons are available. Provides real-time context overlays on safety dashboards.

ACTIVE #6
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AI Agent

Method Statement Generator Agent

Safe systems of work require detailed method statements specifying step-by-step procedures, control measures, and emergency protocols. Manual authoring is time-consuming and may produce inconsistent documents.

Core Logic

Generates comprehensive method statements by combining activity sequences with identified hazards, control measures, and regulatory requirements. Structures documents with scope, responsibilities, equipment, step-by-step procedures, emergency protocols, and approval sign-off sections. Uses activity templates as baselines and customizes based on site-specific conditions and agent-identified risks.

ACTIVE #7
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AI Agent

Cost Estimation Agent

Safety measures have cost implications including equipment hire, training, additional supervision, and schedule impacts. Budget planning requires accurate cost estimation for safety provisions.

Core Logic

Calculates costs for specified safety measures using RICS NRM databases and current material/labor rates. Performs NPV analysis for safety investments, Monte Carlo simulation for cost uncertainty, and ROI calculations comparing safety expenditure against incident prevention benefits. Provides cost breakdowns by safety category enabling budget allocation and value engineering decisions.

ACTIVE #8
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AI Agent

Schedule Impact Agent

Safety requirements affect construction schedules through training time, permit processes, equipment setup, and weather delays. Schedule planning must account for safety-driven time requirements.

Core Logic

Analyzes critical path impacts of safety measures using CPM scheduling algorithms. Calculates float consumption for permit-to-work processes, training requirements, and equipment mobilization. Identifies schedule risks from weather-sensitive activities and generates milestone-adjusted timelines incorporating realistic safety durations. Provides schedule impact assessments in days with confidence ranges.

ACTIVE #9
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AI Agent

Safety Documentation Agent

Safety analysis must be documented in formats suitable for site briefings, client submissions, regulatory filings, and audit defense. Multiple output formats and recipients require tailored documentation.

Core Logic

Produces comprehensive safety documentation packages including risk assessment registers, method statements, permit-to-work forms, safety briefing materials, and incident investigation templates. Generates PDF reports for formal submissions, Excel registers for data management, and presentation decks for toolbox talks. Maintains document version control and approval workflows for regulatory compliance.

ACTIVE #10
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

A four-screen executive workflow starting with a CXO dashboard showing system metrics, followed by activity configuration using pre-built templates, real-time agent orchestration visualization, and comprehensive safety deliverables including risk registers, method statements, and permit requirements.

Tech Stack

5 technologies

Multi-Agent Orchestration Engine with DAG-based execution

Real-Time Context APIs (weather, material prices, workforce data)

Regulatory Compliance Databases (CDM 2015, UK Building Regulations)

Distributed Tracing System (trace IDs, span hierarchies)

Circuit Breaker and Retry Pattern Implementation

Architecture Diagram

System flow visualization

AI Agentic Safety Analysis Digital Worker Architecture
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