AI Site Inspections: Navigate Compliance Complexity and Achieve Collaborative Issue Resolution

OpEd – Annie Liang, Co-Founder and CEO of Billie Onsite

As Australia’s construction codes continue to evolve, AI-assisted inspection systems are poised to become more than just a technological upgrade—they are becoming essential infrastructure for the industry. The complexity of the National Construction Code (NCC) coupled with nearly 7,000 referenced Australian Standards and state-specific variations, presents significant challenges for inspectors, builders and developers. Compliance requires navigating a labyrinth of requirements, from structural integrity to energy efficiency, often demanding substantial expertise and resources. AI offers a way to not only keep pace with these changes but also to leverage them as opportunities for enhanced quality and efficiency.

However, the widespread adoption of AI in construction will require a concerted effort from industry stakeholders. Builders, inspectors, and regulators must collaborate to establish standards for AI system configuration, data privacy, and professional oversight. Training programs will also be essential to ensure that professionals can effectively leverage these tools without becoming overly reliant on them.

One such way AI is already being used successfully within the workforce is through app integration. For instance, Billie Onsite is an AI system that allows professionals across the industry to document and collaborate by voice commands and visual captures during site inspections, while intelligently processing follow-up tasks and reporting for all relevant stakeholders. It instantly categorises and summarises voice and visual data, automates and generates reports and routes issues to specific stakeholders via one centralised dashboard, ensuring rapid issue resolution where construction professionals continue to comply with the necessary codes and standards.

The critical role of construction progress inspections

Regular construction progress inspections are a cornerstone of effective project management, enabling early detection of issues that could derail a project. These inspections, conducted daily, weekly, or monthly depending on the project’s scale, ensure that construction work aligns with approved plans, specifications, and building codes. They can identify a range of issues, including Structural Deficiencies, Code Violations, Quality Issues and Safety Hazards.

By addressing these problems promptly, inspections prevent costly rework, maintain project schedules, and ensure safety compliance, reducing the risk of penalties or accidents. For instance, inspecting electrical or plumbing installations during construction confirms adherence to legal standards, enhancing the building’s functionality and safety. Moreover, inspections generate detailed reports, often including photos and logs, which serve as valuable documentation for tracking progress and resolving disputes.

How AI-assisted inspection workflows address industry challenges

The construction sector is grappling with a “perfect storm” of challenges that highlight the need for AI and collaboration. Some of those challenges include:

  • A lack of clarity for the publication of NCC 2025 has created a regulatory “limbo.” Proposed changes – such as enhanced energy efficiency and waterproofing standards – require significant adjustments but without details and confirmation, planning is difficult (NCC 2025 Public Comment Draft).
  • Other NCC 2025 changes could impact smaller firms. NCC 2025 is expected to limit “expert judgement” for fire safety performance solutions, demanding rigorous, evidence-based documentation. This shift increases the compliance burden, particularly for smaller firms lacking advanced testing resources.
  • Continued skills shortages. A shortage of 83,000 skilled workers is projected by 2029. Rising material costs and complex contractual models, like design-and-construct, further strain resources, especially in technical areas such as waterproofing and condensation management.
  • NCC reliance on Australian Standards. For instance, NCC 2025’s stricter Deemed-to-Satisfy provisions for waterproofing may prompt updates to the Australian Standards, requiring builders to stay agile.

So, how can AI address these challenges? AI inspection systems augment professional capabilities, streamlining compliance and enhancing efficiency. Key functionalities and benefits include:

  1. Auto-categorisation of voice and photos
    AI can automate the categorisation of inspection data against NCC requirements. For example, with Billie Onsite, a photo of a waterproofing membrane can be automatically linked to a specific code clause or standard, reducing manual effort, errors and ensuring compliance is thoroughly documented.
  1. Automated report generation
    AI can generate detailed reports with direct references to NCC clauses, ensuring consistency and providing a clear audit trail. This is critical to meet NCC 2025’s evidence-based compliance demands, such as documenting fire safety measures.
  1. Real-time stakeholder updates
    AI systems can route notifications to stakeholders – project managers, certifiers, or subcontractors – based on inspection outcomes. This transparency minimises miscommunication and accelerates issue resolution.
  1. Collaborative problem-solving
    AI can enhance remote collaboration, allowing off-site specialists to review data and provide guidance without site visits. For instance, using an app such as Billie Onsite, a Sydney-based waterproofing expert can advise on a Perth project given the context-rich and visual inspection findings, reducing the need for physical site visits, reducing travel costs and accelerating decision-making.
  1. Free up time for higher-value tasks
    By automating data categorisation and report generation, AI systems free up inspectors to focus on higher-value tasks, such as on-site assessments and problem-solving.
  1. Fewer compliance-related delays
    Real-time updates and automated notifications through AI adoption ensure that issues are identified and addressed promptly, minimising project disruptions.

Embracing AI for better and safer buildings

Australia’s construction industry is at a crossroads. The convergence of regulatory uncertainty, heightened compliance demands, and chronic labour shortages presents formidable challenges, but it also offers an opportunity for transformation. Traditional approaches to inspection and compliance verification are increasingly inadequate in the face of this complexity. AI-assisted inspection systems, when properly configured and overseen by skilled professionals, act as an intelligent layer that helps builders and inspectors navigate complexity, manage risk, and ensure consistency. AI can augment human capabilities and drive the industry toward a more efficient and compliant future, while ensuring buildings are better, safer, and more resilient.

As Australia’s building codes continue to evolve, embracing AI will be essential for those who wish to thrive in this new era of construction.

Annie Liang, Co-Founder and CEO of Billie Onsite
Annie Liang
Co-Founder and CEO
Billie Onsite

About Annie Liang

Annie is the Co-Founder of Billie Onsite, a voice-visual AI system that allows professionals across the industry to document and collaborate by voice commands and visual captures during site inspections, while intelligently processing follow-up tasks and reporting for all relevant stakeholders. It instantly categorises and summarises voice and visual data, automates and generates reports and routes issues to specific stakeholders via one centralised dashboard.

Prior to founding Billie Onsite, Annie developed unique perspectives in construction technology when she spearheaded an innovative prefabrication system for a residential project in Auckland, New Zealand. Her first-hand insights into the challenges of quality control and stakeholder communication drove her to create Billie Onsite.

Annie spent six years at financial services company UBS AG before returning to her passion for building and construction and establishing Billie Onsite in 2023.

LinkedIn: https://www.linkedin.com/in/annie-liang-7408b21b/

Website: https://www.billieonsite.com/

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