See the Problem Days Before It Happens
WMIntelliops forecasts capacity needs, predicts SLA breaches, and surfaces cost anomalies before they impact production — turning operations from reactive firefighting into planning ahead.
Ahead of the incident, not after
Capacity Forecasting
Projects capacity needs from real usage trends so scaling happens before saturation, not during an outage.
SLA-Breach Prediction
Flags tickets and incidents trending toward a breach, with automated escalation before the SLA is missed.
Cost Anomaly Forecasting
Surfaces spend trending abnormally before it lands on the monthly bill.
From reactive to proactive
Proactive Incident Detection
A 62% proactive detection rate on tracked incidents — patterns caught before they escalate.
Planning, Not Firefighting
Forecasts feed capacity and budget planning, so teams act on lead time instead of alarms.
Approval-Gated Actions
Predicted issues surface recommended actions for approval — a human still decides what runs.
What Predictive Analysis delivers
For the business
CXOs & decision makers- Fewer surprise outages — issues handled before they hit customers.
- Capacity and budget planning based on real trend data.
- Protected SLAs mean fewer credits and less churn risk.
- Shifts the team from firefighting to planning.
For your engineers
Ops, SRE & platform teams- Capacity saturation flagged before you're scaling during an incident.
- SLA-breach risk surfaced with automated escalation before the miss.
- Cost anomalies caught before they land on the bill.
- Recommended actions surfaced for approval — you decide what runs.
Questions about predictive analysis
Lead time depends on the signal, but the goal is days of warning on capacity and SLA trends — enough to plan a change rather than react to an outage.
Related capabilities
See what WMIntelliops predicts on your stack
Book a demo to see forecasting on real telemetry, or start a 7-day free trial.