Bid the right sub. Skip the onethat always slips.
Most GCs re-bid the same subs to the same problems. The agent maintains a live performance database, schedule adherence, RFI volume, defect rate, claim history, payment timeliness, and scores subs on every new bid package.
- Function
- Subcontractor Performance
- Phase
- On the engagement roadmap
- Stack
- Procore · AP / pay-app history · Claims log
The grind this takes off your desk.
Sub re-bid problem
Performance DB across schedule, quality, claims, payments
Pre-qual blind spots
Live scoring on every incoming bid invitation
Owner risk
Surfacing the slip-prone sub before they're on contract
Sub re-bid problem.
Performance DB across schedule, quality, claims, payments. This is the work that doesn’t scale, and the work the Human Emulator owns end-to-end.
Without Ruh
Pre-qual blind spots. Owner risk.
With Ruh AI
Live scoring on every incoming bid invitation. Surfacing the slip-prone sub before they're on contract.
Four stages. One Human Emulator.
Sequential stages that run inside your existing tools.
COLLECT
Performance signal collection
Pulls schedule adherence from project plans, RFI volume from Procore, defect/punch counts, claim and back-charge history from project records, and payment timeliness from AP.
SCORE
Per-sub performance scoring
Weights each signal by trade, project type, and region. Builds a per-sub profile and a per-trade leaderboard. Flags subs that recently changed (key personnel, ownership, lien filings).
BID-RECOMMEND
Bid package fit recommendation
When a new bid package goes out, the agent recommends which subs to invite, who to deprioritize, and what to ask in pre-qual for any new entrants. Reasoning attached.
MONITOR
Ongoing risk monitoring
Once a sub is on contract, monitors leading indicators, RFI surge, payment escalations, schedule slip on adjacent jobs, lien filings. Surfaces to PM before it becomes a claim.
Subcontractor Performance · In Production
Runs inside the customer’s tenant.
See Subcontractor Performance run on your data.
Same Human Emulator, your real workflow, in your tenant.
Outcomes you can point at.
Better sub selection
Re-invite the A-grade subs. Skip the slip-prone ones.
Pre-qual current
Refreshed automatically from live signals, not annually.
Early risk
Surface sub problems before they become claims or back-charges.
Bid faster
Recommendation in seconds when a new package goes out.
What teams told us about this exact work.
Verbatim from discovery calls and working sessions with construction teams, anonymized to role and company type, lightly cleaned for transcription noise.
Now we have to send that out to electrical to get a quote, and to plumbing, and the whole gamut, just to come back with a range.
Fifty phone calls.
Sometimes it is a one-man shop doing the work, so they answer in the evening or on the weekend.
The AI can draft the bid invites and the contracts, but human judgment manages selection and the relationship balance.
Want these outcomes for your team?
Bring real data. We'll demo on a workflow you actually run.
Proof from live builds.
See Subcontractor Performance run on your data.
Same Human Emulator, your real workflow, in your tenant. A free 30 minute walkthrough, no card.
One useful email. No drip campaign.
Takeoff teardowns, cost data, and field notes from teams putting AI on real bids. Sent when there is something worth reading, never on a content calendar.
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Ready to see it on your data?
Stop re-bidding the same problem.
Bring your past 2 years of project data. We'll build the performance graph and score your subs against it.