AI is changing estimating today, and will continue to evolve workflows in the future. The challenge is knowing which opportunities are worth pursuing.
Drawing on 14 months of real-world implementation, this session shares a practical framework for identifying AI use cases with the greatest potential based on three factors: impact, frequency, and visibility. It then tackles what happens after a solution works: driving adoption, creating repeatable processes, establishing ownership, and scaling across the team.
Attendees will leave with a framework for prioritizing AI opportunities and a roadmap for turning individual wins into lasting, scalable workflows.

