Sean Boyer
Vice President - Buildings Preconstruction Pomerleau Inc.
Sean Boyer – Expert in Preconstruction and Construction Economics. With over 25 years of experience in the construction industry, Sean Boyer is recognized as a leading figure in estimating and construction economics in Canada. He holds a degree in Construction Engineering from ÉTS and a college diploma in Civil Engineering Technology from Cégep de Joliette. He is a member of the Ordre des ingénieurs du Québec and a Professional Quantity Surveyor with the Canadian Institute of Quantity Surveyors (CIQS).
As Vice President of Buildings Preconstruction at Pomerleau, Sean leads cutting-edge estimating teams. He oversees research and development of technologies integrating artificial intelligence, manages the collection and analysis of historical cost data, and develops strategies to anticipate market trends.
A national reference in tracking inflation in the construction sector, Sean advises owners and regularly speaks at conferences to demystify the economic challenges transforming our industry. He initiated innovative indexation mechanisms now included in several public contracts across Canada and co-authors the quarterly Pomerleau Economic Radar, an essential resource for understanding cost evolution.
His presentations offer far more than numbers: they provide a clear vision of upcoming challenges and practical solutions to prepare for them. If you want to understand how innovation, data, and AI are redefining preconstruction, don’t miss the opportunity to hear Sean Boyer.
Seminars
- Managing cost, scope, and risk with structured workflows to strengthen control across complex projects and reduce downstream surprises
- Improving team coordination and handoffs through practical collaboration strategies to maintain continuity
- Leveraging technology and AI while aligning closely with owners and designers to deliver more predictable outcomes
- Highlighting areas of preconstruction that can benefit from automation and free up time for skilled work
- Exploring the most exciting tools and applications for AI on the horizon
- Understanding the role of human input and expertise when utilizing AI: To what extent can outputs be trusted?
- Initiating a roll-out with a small group of pilot users to learn from early implementation challenges before scaling implementation
- Designating internal champions to lead implementation across different departments and projects
- Sharing lessons learned regarding software compatibility, training requirements and cost implications from challenging use cases
