Saves Time on Takeoffs & Builds a Scalable Estimating Process

Before adopting Beam AI, Phoenix Concrete Coatings relied on manual, freehand workflows for takeoffs and estimating. There was no standardized system or reusable templates in place, making each takeoff time-consuming and inconsistent across projects. As the team grew, estimating workflows became highly dependent on individual effort, making it difficult to keep up with increasing demand.

Because so much time was spent on manual takeoffs, the team had limited bandwidth for higher-value activities like training and upskilling. The lack of structured processes also made it challenging to onboard new estimators, delegate work effectively, and build a scalable estimating workflow.