We map every engagement to a specific stage of your supply chain, and we sequence how we work with you so risk stays low until we've proven a result.
Most clients start with the first row and move down the table as trust and evidence build.
| Model | What You Get | Best For | Structure |
|---|---|---|---|
| Diagnostic Audit | A paid, scoped review of where AI can realistically cut cost in your operation | First engagement, low buyer risk | One-time fee |
| Implementation Project | Vendor-neutral tool selection, integration, and rollout | Firms ready to act on audit findings | Project fee |
| Adoption & Managed Service | Ongoing training, optimization, and support after go-live | Post-implementation, recurring need | Monthly retainer |
| Fractional AI Lead | SiteChain acts as your part-time, outsourced AI department | Mid-market firms not ready to hire in-house | Monthly retainer |
We deliberately don't publish fixed rates — credible pricing depends on your specific operation and the recoverable cost we identify in your audit. We anchor pricing to value, not a rate card.
Every engagement starts by identifying which of these stages is costing your firm the most — then we lead with that one.
Design changes drive an estimated ~56% of cost overruns on large projects; clashes between architectural and structural models often surface late and expensively.
Model-coordination tools compare architectural and structural models to flag overlapping components before construction begins; generative design explores options faster.
Inaccurate demand forecasting produces wrong material quantities, bad bids, excess inventory, or emergency sourcing.
Forecasting from project schedules and historical data, automated purchase-order generation from real-time inventory, and supplier scoring / vendor-risk tracking.
Up to 30% of delivered materials become waste; large equipment is expensive to store and move, and delivery delays cascade into schedule slips.
Real-time inventory tracking, just-in-time delivery optimization, and waste-reduction analytics addressing the typical 6–10% material loss.
An estimated ~35% of professional time is lost to non-productive activity; progress reporting is often manual and lagging.
Drone/photo-based progress monitoring and computer-vision progress tracking against schedule, replacing manual walk-throughs.
Serious nonfatal injuries cost the U.S. construction industry an estimated $10.7B annually; construction accounts for roughly 1 in 5 private-sector worker fatalities.
Computer-vision hazard and PPE detection from site cameras and photos, flagging unsafe conditions in near real time.
Unexpected equipment downtime disrupts schedules; fixed-interval maintenance wastes money and still misses failures.
Predictive maintenance from IoT/telematics data, shifting from fixed schedules to condition-based triggers and improving asset allocation.
Sources: Mastt ("43 AI Use Cases in Construction"), ETASR change-order study, ServiceTitan, NetSuite construction materials management guide, Remarcable, ConstructXpert, SCMDojo, StackCT, TrueLook, Workyard, CMiC. Figures are point-in-time estimates that vary by source and methodology.
Real-time inventory visibility and just-in-time delivery are the two levers most mid-market GCs haven't touched yet — and they're often the fastest to show a return.
Take our 2-minute supply chain survey and help us figure that out — or skip straight to a discovery call.
