Slipwatch connects to your Procore data and uses machine learning to score construction delay risk weekly so you walk into the OAC meeting already knowing what to ask.
Link your Procore instance. We pull RFIs, submittals, change orders, schedule tasks, and daily manpower logs automatically. No CSV exports, no manual entry.
Every week, ML models score each active project for delay risk. SHAP-powered explainability shows exactly which factors are driving the number. Not a black box.
Your PM gets a Monday email brief, Slack and Teams alerts on risk spikes, and one-click PDF reports. Log interventions and track whether they actually moved the needle.
ML-based delay probability per project, retrained every 6 hours on your latest data. Trend lines show how risk is moving.
Every score breaks down into the specific factors driving it. Know exactly which submittals, RFIs, or trades are putting a project at risk.
Track trade performance across every project. Spot the sub dragging your portfolio before the next bid.
Ask “Why is Grandview at risk?” in plain English and get a sourced answer citing specific RFIs, submittals, and dates.
One-click risk reports per project with trend charts and driver breakdowns. Monday morning HTML briefs land in your inbox before standup with top movers, new high-risk flags, and recommended actions.
Weather impact scores built into the model: freeze days, precipitation, wind. Plus predecessor trade tracking: know when structural steel or concrete deck slip is eating into your schedule buffer.
Slipwatch reads directly from your Procore instance via OAuth 2.0: RFIs, submittals, change orders, schedule tasks, daily logs, and manpower. No integrations to build, no data to export. Connect once, predict forever.
See Slipwatch on your own Procore data. We'll connect your sandbox, seed it with your projects, and walk through a live demo.