Course Info
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Project Management
Job Costing in the AI Era: Getting the Estimating Foundation Right
Wednesday, February 3 | 10:00 - 11:15 AM |LVCC - West 318
Every builder is being told AI will transform estimating. Few are being told what has to exist first. Before AI can produce better estimates, it needs a strong job costing foundation built on cost code architecture, tracking discipline and a historical-data feedback loop. Learn how to build that foundation, then see how automated takeoffs, predictive costing and historical-pattern bidding can compound its value to produce faster, sharper bids. Drawing on real numbers and firsthand experience from a residential builder managing $200M+ in projects, see what’s working, what’s still hype and how to evaluate where your AI investment can actually deliver ROI.
- Design a cost code architecture and tracking discipline that creates the structured historical data AI estimating tools need to work effectively.
- Evaluate automated takeoffs, predictive costing and historical-pattern bidding to identify where AI estimating can deliver real ROI versus hype.
- Apply a CPA-grade evaluation framework to AI estimating investments to determine where technology can improve profitability rather than simply add cost.
