Overview

This 2-day course provides construction and engineering professionals with the clarity needed to navigate the abstract world of Artificial Intelligence. Unlike general AI workshops, this program focuses on solving specific problems using existing data and integrating AI carefully into high-stakes workflows where safety and human judgment are paramount. Delegates will learn to evaluate AI tools for operational suitability, assess risks in asset-intensive environments, and develop a systematic roadmap for responsible AI adoption.

Why Should an Individual Attend?

• Evidence-Based Decision Making: Move beyond the hype to make better decisions about AI grounded in practicality and sound engineering judgment.
• Identify High-Value Use Cases: Learn to prioritize AI applications across the project lifecycle, from design and planning to site safety and facilities management.
• Risk Mitigation: Understand the unique risks AI poses in engineering contexts, focusing on accountability, data protection, and human oversight.
• Strategic Leadership: Gain the frameworks required to build an AI adoption roadmap that aligns with organisational strategy and workforce skills.

Outcomes

On completion of this course, the delegate will be able to:

• Explain AI Concepts: Define Artificial Intelligence and its specific relevance to construction and engineering contexts.
• Prioritise Use Cases: Identify and map AI opportunities across the entire project lifecycle.
• Evaluate Solutions: Assess AI tools for technical and business suitability in real-world conditions.
• Apply Data Principles: Understand the data readiness required to act as a foundation for successful AI initiatives.
• Navigate Governance: Address ethics, data protection, and governance considerations in an AI-enabled organisation.

Program Outline

Day 1: Foundations & Use Cases

What AI Really Is

• Defining AI: Capabilities and limitations.
• Why AI projects fail in the construction industry.
• The Construction & Engineering AI opportunity.

Mapping AI Across the Project Lifecycle

• AI in Design and Engineering.
• AI in Planning and Scheduling.
• AI on the Construction Site: Safety and Compliance.
• AI in Asset and Facilities Management.

Data: The Real Foundation of AI

• Understanding your data reality.
• Overview of industry-specific AI tools and platforms.

Day 2: Implementation, Governance & Leadership

From Idea to Impact: Implementing AI

• Selecting the right first use case.
• Defining success: KPIs and ROI for AI projects.
• Navigating common implementation pitfalls.

AI Risk, Ethics & Governance

• Engineering-specific risks and accountability.
• Data protection and human oversight.
• Managing change and building trust within the workforce.

Building an AI Adoption Roadmap

• Short-, medium-, and long-term planning.
• Budgeting and partnering for AI.
• Executive decision-making with AI.

Who Should Attend?

• Engineers & Architects: Technical professionals looking to enhance design and project delivery through AI.
• Project Managers & Planners: Those seeking to optimise scheduling, safety, and site operations.
• Executives & Business Leaders: Decision-makers responsible for organisational strategy and technology investment.
• Asset & Facilities Managers: Professionals focused on long-term asset performance and predictive maintenance.
• Transformation & Innovation Teams: Change agents tasked with deploying AI responsibly in engineering environments.