Autonomous NOC & SOC
Replace the 24/7 L1/L2 queue with software that closes it.
Orion AI observes the whole estate, collapses an alert storm into one root cause, runs the fix an L1/L2 engineer would run, and hands a person only the case that needs judgement.
- On-premise
- Sovereign cloud
- Hybrid
- No rip-and-replace
The OPEX case
One round-the-clock queue costs 4.6 analysts. Orion AI needs about one.
Coverage is continuous, not elastic: a seat has to be filled at 03:00 on a public holiday. Orion AI turns that fixed headcount cost into compute.
Illustrative model at a blended fully loaded analyst cost for India and the Middle East. Unaudited; actual savings vary by geography, queue complexity and automation coverage. The 55% deflection figure is a design target, not measured beta performance.
Where the money goes
Four places Orion AI takes cost out of monitoring.
No staffed night and weekend shifts
Always-on software plus a lean escalation team replaces a 24/7 roster, and the attrition and training buffer goes with it.
Alert storms become single incidents
De-duplication and correlation mean one incident, not forty tickets. Fewer tickets to read, route and close.
Routine fixes run unattended
Restart a service, reclaim disk, restore a drifted configuration. Executed the same way at 03:00 as at 10:00.
Failures prevented, not shortened
Degrading hardware and capacity exhaustion are flagged days ahead and fixed in a change window, not during a P1.
One engine, two operations centres
Orion AI NOC and Orion AI SOC.
The NOC module closes infrastructure, network and application faults. The SOC module applies the same engine to the security queue: triage, enrich, score and contain, escalating only what has earned a person's attention.
It reads the monitoring, ITSM and security tools you already run, so there is no migration to fund.
Measure it in your numbers
Start with a 60 to 90 day pilot.
Prove ticket deflection and cost per seat on your own queue, then decide how far to take it.