Find the patterns hiding inside your operations.
Clusters group related records — customers, tickets, projects, devices, and time — so you can see recurring issues, repeat behaviors, and where to apply leverage.
Recurring issue clusters · 30 days
0 staged · 115 recordsRoot signal: Outdated PCL6 driver across 2 cohorts
Proposed fix: Standardize on PCL6 v3.1 via Intune package
What this module does for your team.
Connect related records
Cluster across tickets, projects, devices, and customer accounts in one view.
Surface recurring issues
See which problems repeat across customers and warrant a permanent fix.
Tag, label, and act
Apply tags and route clusters into projects, runbooks, or QBR talking points.
Slice by what matters
Filter by customer cohort, device type, technician, or time window.
Guided exploration
Corei suggests clusters worth investigating based on volume and impact.
Reusable cluster definitions
Save cluster recipes and re-run them as data evolves.
Built-in capabilities.
Everything in this module is designed to work with the rest of Corei — context follows the work across departments.
- Customer issue clusters
- Device-type clusters
- Project risk clusters
- Repeat technician work clusters
- After-hours alert clusters
- Vendor / integration clusters
- Saved cluster recipes
- Cluster-to-action handoffs
How Corei works with this module.
Ask in plain language. Corei returns explainable answers grounded in your operational data, prepares actions for review, or runs trusted work you have explicitly cleared.
Example
Find clusters of recurring tickets we should address permanently.
5 clusters represent 22% of monthly volume. The top one is printer driver mismatches across two customer cohorts. Want me to draft a standardization project and a knowledge base entry?
Explore related modules
Corei works as one connected platform.
