Construction Companies
You're winning more work.You're keeping less of it.
Backlog is strong, but margins on completed jobs keep tightening. Change orders eat the estimate. Subs miss their windows. A $400K excavator sits idle on one site while another project rents one across town. We embed with your team, map every project from estimating through closeout, and deploy AI specialists that find what your project management software averages away.
The Problem
Where the money
is going.
Cost
Project Cost Overruns
Your estimator priced the job at $2.1M. You're at $2.4M and the concrete package isn't done yet. The gap didn't come from one bad line item. It came from thirty small ones. A change order that got verbal approval but never hit the log. T&M work that billed at $85/hour instead of the contracted $72. Material price escalations that nobody flagged until the invoice arrived. By the time the PM pulls the cost report, the overrun is already baked in.
Process
Subcontractor Coordination
A commercial project has 20 to 30 subcontractors on site at peak. The framer can't start until the steel is inspected. The electrician needs rough-in access before drywall closes the walls. One sub runs two days late and the cascade pushes three others off schedule. Your superintendent manages this with phone calls, a whiteboard, and years of experience. When that super moves to the next job, the new one rebuilds the coordination plan from scratch.
Cost
Equipment Utilization
You own a fleet of skid steers, excavators, and lifts spread across eight active job sites. Site 4 has a mini excavator parked for three weeks because the underground work finished early. Site 7 is renting the same machine at $1,800 a week because nobody checked availability across projects. The equipment coordinator tracks this in a spreadsheet updated every Monday. By Monday, the rental contract is already signed.
Knowledge
Superintendent Expertise
Your best superintendent knows that pouring concrete below 40 degrees on this particular mix design requires heated blankets for 72 hours, not 48. He knows which building inspector wants rebar photos before the pour, not after. He knows the sequencing trick that saves two crane days on a tilt-up. None of this is written down. When he retires or moves to a competitor, that knowledge walks out with him. The next super learns it the expensive way.
How We Work
Three steps. Hands on.
We embed with your team, map your operation, find what no one could see, and deploy specialists that fix it. You get a dedicated team, not a login.
Map
We start with structured discovery across every active project. Our team interviews project managers, superintendents, estimators, project engineers, the safety director, and the equipment coordinator. We connect to your project management platform, estimating software, accounting system, and scheduling tools. The result is your Blueprint: a complete, live map of how your company actually builds, from bid day through punch list. Not the procedures manual. The real workflows, the workarounds, and the decisions that vary from super to super.
Uncover
We analyze everything we mapped. Our platform finds the change orders that never hit the cost log, the equipment sitting idle while another site rents the same thing, the estimating assumptions that keep missing on concrete and steel. We validate every finding with your team before acting on it. Not a one-time audit. Always running, always finding more.
Execute
Every finding comes with a concrete plan and a deploy button. We build AI specialists that handle the fix end to end. Flag cost variances before they become overruns, surface equipment availability across all job sites in real time, feed actual cost data back into estimating for tighter future bids, capture superintendent sequencing knowledge before it walks out the door. You approve, they run. We stay with you to make sure they deliver.
Example Findings
What Yield typically finds.
Based on a typical mid-market company with $20M–$50M in annual revenue.
Cost
Unlogged Change Orders and T&M Billing Leakage
$267K/yr
Cost
Avoidable Equipment Rentals from Fleet Blind Spots
$134K/yr
Risk
Estimating Variance on Repeat Concrete and Steel Scopes
$82K/yr
Process
PM Time on Manual Job Cost Reconciliation
16 hrs/wk
Knowledge
Undocumented Superintendent Sequencing Practices
9 per project
In Practice
See it work.
From day one.
Week 1
Discovery
We talk to every job site.
AI-led conversations with every project manager, superintendent, estimator, and coordinator across your active projects. Not surveys. Real conversations that capture the sequencing decisions, the vendor workarounds, the cost tracking gaps no system records.
Month 1
Blueprint + First Savings
Your Blueprint is live. Agents are saving money.
A complete, verified map of how your company builds, from estimating through closeout. The first cross-project opportunities are identified. AI specialists are already flagging cost variances, matching idle equipment to active needs, and feeding actuals back into your estimating templates.
Ongoing
Continuous Returns
Savings compound. Every quarter.
Yield keeps finding inefficiencies, deploying specialists, and compounding savings. Estimates get sharper with every completed project. Equipment utilization tightens as the fleet picture stays current. Superintendent knowledge stops leaving when people do. The platform pays for itself and keeps going.
FAQ
Common questions.
Our superintendents run their jobs from the field and resist any documentation that takes them away from the trailer, so how does Yield capture their knowledge?
Yield doesn't hand superintendents a tablet and ask them to fill out forms. It captures their knowledge through structured conversations during the mapping phase, then pulls operational data from the systems around them: daily logs, scheduling tools, RFI responses, and cost reports. When a super knows that a particular concrete mix needs 72-hour heated blankets below 40 degrees instead of the spec'd 48 hours, that knowledge gets encoded into a specialist that flags the condition on future pours. The super keeps running the job. The knowledge stops walking out when they retire.
We tried connecting Sage to Procore for actuals-to-estimate feedback and the integration never delivered usable data, so what makes Yield's approach work?
The Sage-to-Procore integration fails because it maps GL codes to cost codes without normalizing for scope differences between projects. A concrete line item on a tilt-up doesn't compare to concrete on a tenant improvement, but the integration treats them identically. Yield normalizes by scope type, building use, and project scale before comparing actuals to estimates. When your concrete estimates run 12% under actual costs on the last six commercial ground-up projects, that pattern surfaces as a specific estimating adjustment, not a meaningless portfolio average.
With equipment spread across eight active job sites and different project managers tracking availability in their own spreadsheets, can Yield actually provide real-time fleet visibility?
Yield pulls equipment assignment data from every project's scheduling and cost system, then builds a unified fleet view that updates as daily logs and rental invoices come in. When Site 4 finishes underground work early and a mini excavator sits idle, the platform matches it against Site 7's rental request for the same machine before the rental contract gets signed. The equipment coordinator gets a single dashboard instead of calling eight supers every Monday morning to ask what they're using this week.
When a subcontractor delay cascades through the schedule mid-project, what can Yield do that our superintendent isn't already handling?
Your superintendent handles the immediate cascade by making phone calls and reworking the next two weeks. Yield adds the cross-project pattern recognition no individual super can do alone. It identifies which subcontractors cause cascades repeatedly across your book of work, which trade sequences are most vulnerable to slippage, and which scheduling buffers your best supers build that others don't. When the same framing sub has triggered schedule cascades on three of your last five projects, that data reaches your preconstruction team before the next subcontract gets signed.
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See what Yield finds in
your job sites.
30 days. Real results. Or walk away.