AI in Engineering & Construction Project Delivery

Engineering and construction organisations in New Zealand are facing increasing pressure to deliver complex projects safely, efficiently, and transparently while responding to skills shortages, productivity challenges, and evolving health and safety expectations. Artificial intelligence is emerging as a practical enabler in this context, offering new ways to analyse data, support decision-making, and strengthen project governance without replacing professional judgement.

This session explores how AI can be applied responsibly within engineering and construction project environments, with a particular focus on safety, wellbeing, and digital project management workflows. Drawing on applied research, industry engagement, and real-world case examples, the session situates AI within current construction practices rather than as a speculative future technology.

Participants will gain practical insight into where AI adds value today, how it can be integrated into existing systems and processes, and what engineers and project leaders need to understand to govern its use effectively. The focus is on informed adoption, risk awareness, and leveraging AI as a support tool for better project and safety outcomes

Key learning outcomes:

• Understand the context and true potential of AI in engineering and construction project management.
• Master a proven prompt formula—defining role, context, task, constraints, and output format—to generate precise and reliable AI responses.
• Build, test, and deploy custom AI agents capable of semantic reasoning to quickly extract critical information from large volumes of complex project documents.
• Apply AI to real-world scenarios, including the rapid retrieval of health and safety protocols and the optimization of project management workflows.
• Navigate the vital principles of responsible AI implementation, ensuring data security, privacy, fairness, transparency, and accountability.
• Develop a practical roadmap for organizational AI adoption, utilizing team hackathons to progress from foundational prompting to advanced workflow automation.