PredictCoreAI
Forecasts SLA breaches before they happen.
Scores every open ticket's live SLA-breach risk, explains why, and suggests concrete actions that pull the deadline back into reach.
- Assigns a live SLA breach-probability percentage to every open incident, request, and problem record.
- Explains each prediction in plain terms - similar past cases, current capacity, and technician workload.
- Recommends one or two concrete risk-reducing actions, then recalculates the score once they are applied.
- Surfaces at-risk records on the service manager dashboard before the SLA clock runs out.
From signal to outcome
Continuous scoring
Every open record is re-evaluated minute by minute against its SLA target.
Multi-source signal
It weighs the last 90 days of similar cases together with current team capacity and individual technician load.
Threshold alerting
When risk crosses the configured threshold, the record is pushed to the service manager dashboard.
Actionable guidance
It proposes specific next steps - 'take this step and risk drops to X percent' - rather than a bare warning.
The situation
At Birikim Holding, incident INC-2847 had 1 hour 46 minutes left on its SLA. Assigned technician Mert Kaya was already juggling six parallel P1s, and the number of affected branches was climbing every hour.
The outcome
PredictCoreAI raised a 78 percent breach-risk alert and recommended escalating to the shift manager and rerouting traffic to the backup server. With both actions applied, the risk dropped to 34 percent and the SLA was met with 22 minutes to spare.
Common questions
Each score combines three weighted signals: outcomes from the last 90 days of comparable records, current team capacity, and the assigned technician's live workload. Every prediction ships with its reasoning, so service managers can judge the call rather than trust a black box. Accuracy improves over time as the model learns from your own resolution history.
See PredictCoreAI in your workflow.
Book a demo and we'll show PredictCoreAI working inside the platform — on your real tickets and data.