Downtime logs are reviewed after significant delays.
Use case 23
Operations use case
Manufacturing Downtime Alerting
Automatically detect and escalate machine downtime events in real time, classify root causes, and track resolution performance across production lines.
The problem
Why this breaks as brands scale.
Production downtime events are recorded but not escalated promptly, leading to extended operational losses and reduced plant efficiency.
Critical production lines are not prioritized consistently.
Root cause classification is inconsistent or incomplete.
Escalations depend on manual reporting.
Resolution times are not systematically tracked against SLAs.
AutoOps solution
One operating layer for visibility, workflow, and action.
Automatically detect and escalate machine downtime events in real time, classify root causes, and track resolution performance across production lines. AutoOps connects the systems your team already uses and turns operating signals into governed, accountable work—not another passive dashboard.
01
Connected operating data
Real-time detection of downtime events from MES and production systems.
02
Governed workflow
Automated root cause classification and tagging.
03
Exception routing
Configurable downtime duration thresholds.
04
Live performance context
Critical line prioritization logic.
05
Continuous improvement
SLA-based escalation workflows for unresolved downtime.
How it works
From signal to accountable execution.
A repeatable operating flow connects source data to decisions, ownership, and measurable follow-through.
01
UnifyUnify the operating data
Connect the files, records, system signals, and ownership context that teams need into one trusted operating view.
02
DetectDefine rules and thresholds
Configure the business rules, validations, exceptions, and thresholds that determine when action is needed.
03
ActTrigger workflows and ownership
Route tasks, approvals, alerts, and escalation paths to the right owners as soon as conditions change.
04
ImproveMeasure impact continuously
See what changed, who owns the next step, and whether the workflow is delivering the intended result.
Business outcomes
The results teams can expect.
Operationalize
Turn manufacturing downtime alerting into a repeatable workflow.
Connect the data layer, workflow engine, operating context, and AI support needed to make this process scalable.