Explore the Agenda
General Session
7:00 am Registration & Refreshments
8:00 am Chairs Opening Remarks
Upskilling & Retaining Preconstruction Workers
8:05 am Creating Defined Career-Development Pathways to Attract & Retain Rising Talent
- Establishing clear progression stages so employees understand expectations and feel empowered to grow within your preconstruction team
- Ensuring your career path supports and evolves departmental structures sustainably as your team grows recruitment efforts to attract top tier talent
- Keeping competency frameworks updated to reflect evolving market conditions, technologies and workflows
8:35 am Reinventing Preconstruction in the age of AI
- Using AI to win more work with less overhead
- Discovering how to break free from the spreadsheets that are holding your company back
- Focussing on making jobs go instead of just winning jobs that won’t ever start
9:05 am Improving Training & Field Exposure to Build Stronger Understanding of Constructability Among the Next-Generation of Estimators
- Creating training opportunities that embed practical, real-world and early field exposure to help staff connect estimates to project realities
- Structuring hybrid work, mentorship, and rotations to sustain peer learning and strengthen ties between preconstruction and operations
- Tailoring training plans for individual learning styles and personalized goals
Building Confidence in Projects
9:35 am Client Panel: Evaluating the Role of Project Partners During Financing & Budget Development to Secure Project Viability
- Discussing the current dynamics shifting project financing sources, timelines and models across different markets
- Working with stakeholders to help navigate financing hurdles with technical advisors, escalation forecasting and grant opportunities
- Surveying client underwriting and lending requirements
- Debating how long a project can sit on the shelf before new estimates and budgets are needed
10:50 am Morning Refreshments & Tech Slam
Track 1: Strategic Leadership & Departmental Planning
Track 2: Design Phase Management
Track 3: Enhancing Estimating Fundamentals
Track 4: Advanced Estimating Workflows
Track 5: Preconstruction Management
Track 6: Integrating Trades in Preconstruction
Track 1: Strategic Leadership & Departmental Planning
Increasing Tool Adoption
11:10 am Effectively Managing Change When Integrating New Technologies & AI into Existing Tech-Stacks to Maximize ROI
Vice President - Buildings Preconstruction, Pomerleau Inc.
- 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
11:45 am Controlling the Cost of Innovation to Equip Your Estimating & Preconstruction Teams with Tools to Excel, Sustainably
Vice President - Preconstruction, Lee Lewis
- Surveying current and future technologies hitting the market: When is the right time to purchase a new tool?
- Acquiring longer demo periods to understand if a platform is a good fit for your organization’s workflows to avoid wasted investments
- Evaluating the different pricing tiers commonly used by software companies and how you can work with vendors to economically scale investment as innovation picks up pace
Track 2: Design Phase Management
Track 3: Enhancing Estimating Fundamentals
Track 4: Advanced Estimating Workflows
Track 5: Preconstruction Management
Track 6: Integrating Trades in Preconstruction
12:45 pm Lunch
Preparing For The Future of Preconstruction
1:45 pm Panel: Exploring the Evolving Role of Artificial Intelligence (AI) in Preconstruction to Remain Ahead of the Curve in 2026 & Beyond
- 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?