AI Construction Estimator

Construction estimating is slow, manual, and inconsistent. Plan review and quantity takeoff eat hours of skilled time, and the knowledge often lives in a few experienced people's heads. The same drawings get measured by hand, over and over, and small errors compound into expensive ones.

I worked in the construction and renovation software space, close to how estimators actually work and where the time goes. This is an attempt to take the most repetitive part of that job, plan review and takeoff, and let software do the first pass while a person stays in charge of the result.

It is built around a real construction business use case, with projected six-figure annual efficiency gains from reduced manual takeoff and rework. Those gains are a target, not a realized result.

Document-understanding and computer-vision workflows ingest construction plans and PDFs, perform plan analysis, and extract measurements. From there it assembles a reviewable takeoff grounded in real cost data. The goal is a strong first draft that an estimator can trust enough to check quickly, not a black box that hands back a final number.

The flow is a pipeline that always ends with a human review step:

The same idea sits behind my CRM work: a model is useful for drafting and dangerous when it decides on its own. The estimator reviews every measurement and every line of the takeoff and can edit or reject anything. A confident wrong number never passes through unchecked. The software removes the busywork; the person keeps the judgment.

• Early build, in active development. It is not a finished product, and I do not claim realized savings.
• The efficiency gains are projected, based on the manual takeoff and rework the workflow is meant to remove.
• Accuracy depends on plan quality and type; ambiguous or low-quality drawings lean harder on estimator review.
• Agentic CRM is the flagship; this is a focused second project that applies the same human-in-the-loop philosophy to a different domain.

• Broaden the plan and drawing types the analysis handles.
• Improve measurement-extraction accuracy and confidence signals.
• Tighten the review surface so checking a takeoff is fast.
• Integrate cost data more deeply for grounded pricing.
• Pilot with a real construction business and measure the actual time saved.