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Prioritize the right processes. Measure the results. Keep the source code.

Digital Worker 5 AI Agents Example

NDT Defect Analysis Digital Worker

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation.

5 AI Agents
5 Tech Stack
AI Orchestrated
Scoped Availability
Worker ID: ndt-defect-analysis-worker

Problem Statement

The challenge addressed

Manual NDT defect analysis is time-consuming, prone to human error, and creates bottlenecks in nuclear inspection workflows. Level 3 experts spend excessive time reviewing low-risk geometric features instead of focusing on critical defects. Complianc...

Solution Architecture

AI orchestration approach

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Deploys a multi-agent A...
Interface Preview 4 screenshots

Illustrative preview (sample data, not verified outcomes): NDT Data Upload & Analysis Setup - Configure component selection, inspection methods (UT, ET, RT), and view AI Analysis Team agents ready for multi-method defect analysis

Illustrative preview (sample data, not verified outcomes): Live AI Analysis Dashboard - Real-time monitoring of Orchestrator, UT Analysis, ET Analysis, and RT Analysis agents with progress tracking and live event feed

Illustrative preview (sample data, not verified outcomes): Analysis Results Summary - Defect classification results showing 17 total indications, 15 features excluded, 2 defects identified with 99.8% AI efficiency and ASME Section XI compliance

Illustrative preview (sample data, not verified outcomes): NDT Data File Upload - Drag-and-drop interface for UT and ET scan files with component inspection history and workflow guidance showing 99.5% screening efficiency

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

5 Agents
Parallel Execution
AI Agent

Analysis Orchestrator Agent

Complex NDT inspections require coordination of multiple analysis techniques and clean handoffs between automated screening and expert review.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Coordinates all specialist agents, manages the analysis workflow from data ingestion through report generation, monitors progress across parallel analysis streams, handles task distribution and priority management, and triggers expert escalation when critical defects are detected. Maintains real-time status tracking and ensures all agents complete their analysis phases before proceeding.

EXAMPLE #1
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AI Agent

Ultrasonic Testing Analysis Agent

Analyzing hundreds of thousands of UT data points across multiple zones for volumetric defects like cracks requires extensive Level 2 technician time and can miss subtle indications.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Processes Phased Array UT, TOFD, A-Scan, B-Scan, and C-Scan data using signal morphology analysis, amplitude analysis, and depth measurement techniques. Detects crack signatures through corner trap identification and sharp leading edge patterns. Provides confidence-scored classifications with measurement uncertainties. Automatically flags high-amplitude reflectors exceeding ASME thresholds for expert review.

EXAMPLE #2
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AI Agent

Eddy Current Analysis Agent

Eddy current inspection generates complex impedance plane data that requires skilled interpretation to distinguish surface defects from material variations and geometric artifacts.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Analyzes Eddy Current Array and impedance plane data using phase analysis, conductivity mapping, crack sizing, and surface condition assessment. Processes scan points to identify surface and near-surface defects while filtering benign conductivity variations. Reports surface oxidation, crack indications, and wall thickness variations with severity classifications.

EXAMPLE #3
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AI Agent

Radiographic Testing Analysis Agent

Manual review of radiographic images for density variations, porosity, and inclusions is the slowest step in multi-method NDT analysis and subject to reviewer fatigue.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Processes Digital Radiography, Computed Radiography, and digitized film images using density analysis, pattern recognition, inclusion detection, and porosity mapping algorithms. Identifies volumetric indications through density contrast analysis. Maps porosity clusters and determines if they fall within code-acceptable tolerance limits.

EXAMPLE #4
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AI Agent

ASME Compliance Validation Agent

Interpreting ASME Section XI acceptance criteria tables and documenting code compliance decisions requires specialized knowledge and creates documentation burden.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Validates all detected findings against ASME Section XI Table IWB-3514-1 acceptance standards, NRC 10 CFR 50.55a requirements, and facility-specific procedures. Automatically calculates exceedance percentages, references applicable code sections, generates compliance documentation, and maintains immutable audit trails for regulatory submission.

EXAMPLE #5
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The NDT Defect Analysis Digital Worker is an AI-powered inspection analysis system designed for nuclear component examination. It orchestrates five specialized AI agents that work in parallel to analyze multi-method NDT data (Ultrasonic, Eddy Current, Radiographic), automatically classify indications, evaluate compliance against ASME Section XI acceptance criteria, and generate regulatory-compliant reports. The system maintains human-in-the-loop controls for critical defects exceeding code allowables, ensuring Level 3 expert oversight on high-consequence decisions while automating routine screening.

Tech Stack

5 technologies

NDT data files in standard formats (HDF5, DICONDE, CSV)

Component geometry and weld mapping information

ASME Section XI code tables for acceptance criteria

Historical defect database for AI training and comparison

WebSocket connection for real-time analysis streaming

Architecture Diagram

System flow visualization

NDT Defect Analysis Digital Worker Architecture
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