Monday, March 23, 2026
By Brandon Milner and Ezequiel Machabanski
Artificial Intelligence is rewriting the rulebook. In construction, where precision and trust are everything, the question isn’t whether we adopt AI, but how we do it responsibly.
AI is no longer a distant concept; it’s here, transforming industries and redefining the way we work. At EllisDon, we view AI not as a buzzword, but as a transformative force that can unlock greater efficiency, safety, and innovation across the construction ecosystem. Yet, as powerful as AI is, its promise comes with responsibility. Harnessing AI requires robust frameworks, a commitment to ethical practices, and collaboration across the industry to ensure a shared digital future.
Using AI today and what’s next
Construction has traditionally been a complex, fragmented process, often plagued by inefficiencies and unforeseen risks, but the industry can leverage AI to change that narrative. Today, our teams use machine learning algorithms to enhance cost estimation and scheduling accuracy, while predictive analytics help anticipate project risks before they materialize, enabling proactive decisions that save time and resources.
On our job sites, computer vision systems monitor safety compliance and quality standards in real time. These tools reduce human error, enhance site safety, increase efficiency, and ensure that every project meets rigorous quality benchmarks. AI-powered dashboards aggregate data from multiple sources, giving project managers actionable insights at their fingertips.
The next frontier includes agentic AI systems capable of automating complex workflows and constructability engines that analyze design inputs to flag potential issues before construction begins. Imagine a future where AI predicts risks but actively mitigates them—where design, procurement, and execution are seamlessly integrated through intelligent automation. That’s the future we’re building.
Why responsible AI matters more than ever
AI can amplify efficiency, but if misused, it can also amplify bias, compromise privacy, and erode trust. We believe that responsible AI is not optional; it’s foundational.
Our approach is built on three pillars: transparency, accountability, and fairness. Every AI deployment undergoes rigorous ethical risk assessments. We prioritize explainability, ensuring stakeholders understand how decisions are made. Models are auditable and continuously monitored, with human oversight embedded into every critical process.
This matters because trust is the currency of the digital age. Clients entrust us with sensitive data, and employees rely on us to safeguard their privacy. Regulatory landscapes are evolving rapidly, and reputational risks are real. By embedding responsibility into our AI strategy, we safeguard our business, and most importantly, the people and communities we serve.
Frameworks and standards
Responsible AI requires robust frameworks. EllisDon has adopted a federated data governance model, balancing innovation with centralized oversight. This approach empowers each business unit to innovate while maintaining common standards for security and compliance.
Our framework includes several key components:
Data Classification and Role-Based Access Controls. Sensitive data is protected through strict access protocols.
Regulatory Alignment. Our practices comply with global standards such as GDPR and CCPA, as well as industry-specific regulations.
Continuous Monitoring. AI systems are regularly audited for bias, accuracy, and ethical compliance.
These frameworks are not static; they evolve as technology and regulations change. Our goal is to create a governance structure that is both resilient and adaptive, enabling the scaling of AI responsibly across all operations.
Collaboration for a shared digital future
No single organization can solve the challenges of responsible AI alone. The construction industry is interconnected, and digital transformation must be a collective effort. Actively engaging with technology partners, industry associations, and regulatory bodies will help to shape shared standards for ethical AI.
Collaboration accelerates innovation while mitigating risks. It ensures interoperability across platforms and fosters a culture of transparency. By working together, we can build a digital future that benefits all stakeholders, clients, employees, partners, and society at large.
AI is rewriting the rules of construction, but the story we write depends on the choices we make today. We choose responsibility. We choose transparency. We choose collaboration. These principles guide our journey as we harness AI to build not just smarter projects, but a better world.
Brandon Milner is the Chief Information Officer & Senior Vice President with EllisDon.
Ezequiel Machabanski is the Vice President, Insights and Analytics with EllisDon.
[This article appeared in the March/April 2026 issue of ReNew Canada.]
Featured image: Harnessing AI requires robust frameworks, a commitment to ethical practices, and collaboration across the industry to ensure a shared digital future. (Getty Images)
