From data to event
The system must recognise meaningful operating conditions, not merely display metrics. Rules, models and context turn distributed data into events requiring attention.
From event to decision
Every event must be classified, explained and assigned. Priority depends on impact, urgency, risk and available capacity; AI can support the decision without hiding its criteria.
From decision to action
Workflows, integrations and escalation close the loop. The system records who decided, what was executed and which outcome was observed, enabling learning without losing auditability.