Research, analysis, and perspectives on the built world.
Change orders are among the most common sources of construction cost overruns, adding 5-15% to project budgets when poorly managed. AI automates the extraction, price benchmarking, duplicate detection, and exposure tracking layers of change order management, compressing review cycles and catching pricing errors before they are approved. This post breaks down what AI handles at each stage and where human judgment remains the controlling factor.
April 27, 2026 ·4 min read
Construction lien waivers come in four types -- conditional and unconditional, on progress and final payment -- and missing or mismanaged waivers are one of the most common sources of owner exposure at project closeout. This guide explains how tracking breaks down, what AI automates across document extraction, payment matching, and gap detection, and where human judgment is still required.
April 26, 2026 ·4 min read
AI automation is now deployable across almost every stage of the real estate development lifecycle. This piece maps where automation is live today -- from site screening and due diligence to pro forma modeling and IC prep -- and how development teams should sequence deployment to maximize ROI.
April 25, 2026 ·4 min read
Real estate development generates hundreds of documents per project. AI automation reliably handles due diligence extraction, lease abstraction, draw package assembly, and IC memo drafting -- but PSAs, development agreements, and complex construction contracts still require legal review. This piece maps the boundary.
April 25, 2026 ·4 min read
The cost-to-complete analysis is the monthly document that tells lenders and development teams how much money is left to finish a building. This piece covers the three failure modes that make CTCs unreliable, how AI addresses each one through front-loading detection, pending change order aggregation and line-level burn rate alerts, and what still requires human judgment.
April 24, 2026 ·4 min read
Broker opinions of value are produced at significant volume across brokerage and development advisory teams, and the research-heavy components are highly automatable. AI now handles comparable selection, adjustment grid construction, market narrative and document generation while human judgment retains the value conclusion, submarket expertise and professional sign-off. The result is a BOV that takes two to three hours rather than half a day, with a more complete and consistent research layer underneath.
April 23, 2026 ·4 min read
Real estate development teams process hundreds of RFPs annually, typically managed through email threads and shared drives. This post walks through a five-step AI-assisted RFP workflow -- from scope generation to anomaly flagging -- and draws a clear line between what AI handles reliably and what requires human judgment in vendor selection.
April 22, 2026 ·5 min read
Most development teams treat predevelopment informally, which means weeks of work that gets redone or never documented. This post breaks down the key predevelopment tasks, where AI automates the research and tracking layers, and how teams are using it to compress deal timelines and catch disqualifying issues before committing to full due diligence.
April 21, 2026 ·5 min read
A workflow-specific breakdown of CRE automation in 2026 -- what AI handles end-to-end across site screening, market analysis, document extraction, pro forma modeling and draw processing, what still requires human judgment, and how to sequence deployment for the highest ROI.
April 20, 2026 ·5 min read