Beta beginning May 1. Introducing the new Quality Issue Predictions Insight—now in Open Beta for Procore’s Construction Intelligence suite. This powerful feature surfaces predicted quality issues likely to occur on your projects, leveraging your organization’s historical data, trade performance, industry benchmarks, and regional patterns. With this insight, project and quality leaders gain early visibility into probable quality themes before they become problems, allowing teams to align and take action proactively. Key benefits include: Early Risk Detection: See which quality issues are most likely to arise on a project from the outset, not just those already logged. Actionable Context: Understand why each predicted issue matters, with supporting signals from past projects, vendor performance, industry trends, and regional data. Seamless Workflow Integration: Move from insight to action with direct links to explore related quality data and reporting, consistent with your permissions.
This feature is available to companies enrolled in the program with the Insights, Observations, Punch List, and Inspections tools enabled. Users with the appropriate admin roles or granular permissions can access these predictions, subject to project access.
By surfacing likely risks ahead of time and providing context on why and where they’ve occurred before, Quality Issue Predictions Insight empowers teams to prevent rework, reduce costs, and minimize schedule impacts—transforming quality management from reactive to proactive.
Note: Predictions are designed to support informed planning and should be validated against your project’s scope, contracts, and current conditions. AI-assisted insights should always be verified for accuracy before making operational or contractual decisions.
Available On:
Insights
Observations
Punch List
Inspections
