AI-Powered Quality Control: Eliminating Errors Before They Multiply

Use AI to enhance defect detection, automate snagging, and drive higher quality in construction projects. Designed for QA/QC professionals aiming to modernize their inspection process.

Course Description:

This 2-day course is tailored for QA/QC teams, engineers, and site auditors looking to integrate AI tools into their inspection routines, reporting workflows, and compliance management systems.

Through real-world use cases, live tool demonstrations, and hands-on exercises, participants will learn how computer vision, anomaly detection, and AI-assisted documentation are being used to reduce errors, automate snagging, and uphold construction quality at scale. Without requiring programming expertise, this course offers a compelling path for quality teams to work smarter—and lays the groundwork for deeper integration down the line.

Who Should Attend:

• QA/QC Inspectors
• Construction Engineers
• Site Managers involved in handover and inspections
• Quality Assurance Officers
• Compliance and Risk Auditors in construction projects

Course Objectives:

Knowledge Acquisition:

• Understand the fundamentals of AI in construction quality control
• Learn about computer vision, defect classification, and anomaly detection
• Gain insight into AI-supported inspection tools (mobile, camera-based, drone-enabled)
• Review global case studies of AI in precast, MEP, structural, and finishing quality checks

Skills Development:

• Conduct inspections using AI-powered checklists and visual tagging apps
• Identify defects from photo and video feeds using AI analysis
• Improve documentation accuracy and compliance tracking
• Automate repetitive quality reporting tasks
• Evaluate platforms for AI-based snagging and punch list management

Practical Application:

• Use mobile apps to capture and classify on-site quality issues
• Automate defect reports with annotated images and status tags
• Perform comparative AI reviews against project specs
• Design a simplified AI-assisted QA workflow for immediate implementation
• Analyze risk zones and recurring defects using sample dashboards

What will I Learn From it:

• Reduce rework costs by identifying issues earlier and faster
• Automate punchlists and reduce human oversight in defect documentation
• Boost compliance and audit readiness using AI-generated logs
• Increase QA/QC team productivity through smart inspections
• Build a digital QA process that scales with your projects

Training Methodology

Real-World Tool Demos: Hands-on with AI-powered snagging apps and defect trackers
Visual Case Studies: Before/after walkthroughs showing ROI from AI QA upgrades
Guided Workflows: Participants build their own site-specific QA process
Capstone Presentations: Group-led presentations on redesigned QA systems

Requirement/
pre-requisites:

• Experience with QA/QC, inspections, or project handovers in construction
• Familiarity with standard inspection formats and checklists
• Smartphone or laptop for interactive tools
• No AI, programming, or technical background required