PAREXUS
AI-Powered Engineering Inspections for Industry 4.0
Services
Industry
Industry 4.0
Project Background
Challenges
On-site engineering inspections involve multiple stakeholders, complex coordination, and large physical environments. The existing process relied heavily on manual documentation, fragmented communication, and inefficient routing across sites. Admin teams needed a way to organize inspection campaigns and assign tasks, while engineers on-site required a simple and reliable way to submit inspection data.
Beyond that, quality teams needed structured workflows for reviewing, approving, or escalating findings. The key challenge was building a platform that could orchestrate these workflows seamlessly while integrating AI into the inspection process without disrupting established engineering practices.
Problem solving with design thinking workshop
Lizard Global developed a Progressive Web App (PWA) that acts as the central platform supporting the client’s AI-powered inspection workflow. The solution connects all roles involved — from admins and on-site operators to quality control and quality assurance managers — within a single system.
Engineers can submit inspection images directly through the app, where the AI analyzes them and generates actionable insights. The platform also supports campaign management, role-based workflows, escalation paths, and optimized inspection routes.
Key features
Inspection Submission App
Engineers on-site can capture and submit inspection images directly through the platform, reducing manual reporting and documentation.
AI Image Analysis Integration
A dedicated API connects the platform with the client’s proprietary AI, enabling automated analysis and detailed inspection reports.
Campaign Management System
Admins can set up inspection campaigns, assign operators, and define what needs to be inspected across sites.
Role-Based Workflow and Feedback Loop
Structured flows guide inspections from operators to QC, with escalation to QA and feedback back to operators when issues arise.
Route Optimization for On-Site Inspections
Inspection routes are optimized to help engineers move efficiently across large sites, improving productivity and reducing unnecessary travel.
The impact
Reduced Manual Workload
Automation of image analysis and reporting significantly decreased the amount of manual effort required from engineers and quality teams.
Faster and More Consistent Inspections
Standardized workflows and AI-assisted insights improved inspection speed and consistency across teams and sites.
Improved Visibility and Control
Admins and quality managers gained clearer oversight of inspection campaigns, statuses, and outcomes within a single platform.
Conclusion
This project demonstrates how AI can deliver real impact when paired with the right digital infrastructure. By combining intelligent image analysis with a well-designed inspection platform, the client successfully transformed a manual, fragmented process into a streamlined, scalable workflow. With Lizard Global’s expertise in software development and UI/UX design, the solution not only supports advanced technology but also empowers engineering teams to work smarter, faster, and with greater confidence.
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