Orion AI: Autonomous AI operations, a product from Ameya TechnologiesBook a demo

Cost savings

Cover a 24/7 queue for about a third of the cost.

Monitoring is expensive because it is staffed around the clock, and most of what those people handle never needed a person. Orion AI removes the work, not just the screen time.

Annual cost of one L1/L2 queue

From $126K to $40K a year.

On a 24/7 roster, one queue costs about $126K a year. Automating the L1/L2 work removes about $100K of that. Platform licence and compute add about $14K, leaving a total of about $40K, a 68% reduction.

Because compute rather than headcount becomes the main cost driver, the cost curve flattens as alert volume grows.

Illustrative model at a blended fully loaded analyst cost for India and the Middle East. Unaudited. Actual saving varies by geography, queue complexity and automation coverage achieved.

$126K−$100K+$14K$40K Traditional24/7 rosterL1/L2 workautomatedPlatform licence& computeOrion AItotal cost

Headcount

4.6 FTEs for one queue becomes about 1.

Round-the-clock coverage means nights, weekends, holidays and a buffer for the 40% annual attrition typical of high-alert teams. Orion AI replaces staffed shifts with oversight.

Traditional roster
4.6 FTE
1.01.01.00.90.7
With Orion AI
1.0 FTE
1.0 oversightcapacity released

FTE split illustrative of a standard 24/7 roster. Sources: industry managed-services staffing models; published SOC alert research (2026).

Signal quality

10,000 raw events become 85 that reach a person.

Most monitoring cost is people reading alerts that never mattered. Orion AI suppresses the noise, correlates what remains into root-cause incidents, and fixes the routine ones without a ticket ever being worked by hand.

  • 43% immediate reduction in alert noise
  • 99.2% of raw events never reach a human queue
  • 60% reduction in Tier-1 agent volume
  • Seconds to first action on a routine case

What happens to 10,000 raw events in a day

10,000
Raw events ingested. Everything the estate emits: infrastructure, application and security telemetry.
5,700
Survive noise suppression. 43% removed immediately by de-duplication, flap damping and known-benign filtering.
940
Correlated incidents. Related events collapsed to a single root-cause incident.
420
Actioned autonomously. Closed by a permissioned runbook, verified, and evidenced in the ticket.
85
Reach a person. With timeline, evidence and recommended action already assembled.

Illustrative daily flow at a mid-sized enterprise estate; bars drawn to scale. Ratios reflect design targets and published deflection benchmarks, not a measured single-customer result.

First-line ticket volume

Eight in ten first-line tickets closed or fully prepared.

55%25%20%
55% resolved autonomouslyClosed by a permissioned runbook, verified and evidenced.
25% escalated with contextTimeline, evidence and recommended action already assembled.
20% genuinely complexHuman-led. This is where analyst judgement is worth paying for.

The deflection mix is Ameya's design target, not measured beta performance.

Beyond the payroll line

Availability is the larger half of the case.

$300K+industry-average cost of one hour of enterprise downtime
Daysof warning on degrading hardware and software states before failure
99.999%uptime target through automated fault isolation and rerouting

Predictive failure prevention

Degrading optics, failing disks, memory leaks and capacity exhaustion are caught from the trend and fixed inside a change window rather than at 03:00. Outage avoided, not shortened.

Zero-touch self-healing

Automated runbooks isolate the fault and reroute traffic within seconds, before an end user or an SLA clock notices.

SLA protection

Consistent response quality across every hour of the roster removes the penalty exposure that comes from a thin night shift.

Continuous compliance

Configuration backup, drift detection and scheduled audit reporting keep the estate evidence-ready between audits, not just during them.

Downtime cost is an industry average across enterprise segments. The uptime figure is an architectural target that depends on the customer's redundancy design.

Side by side

Every dimension that carries cost moves your way.

DimensionTraditional NOC / SOCWith Orion AI
Coverage continuity24/7 human roster, with a seat filled on every shiftAlways-on software plus a lean escalation team
Headcount efficiency4 to 5 FTEs for one queueAbout 1 FTE of oversight across many queues
Routine-case responseMinutes to hours, and slower at 03:00Seconds, identical at 03:00 and 10:00
Consistency & auditRunbooks followed by hand, unevenlyDeterministic execution; every action logged and reversible
Cost scalabilityLinear: growth means hiringSub-linear: driven by infrastructure, not headcount
Margin retainedFalls as volume risesCompute replaces headcount as the main cost driver

Commercial model

Priced on what the platform removes.

A subscription per monitored endpoint and per automated ticket, so the bill tracks the saving rather than a seat count. A one-time deployment and integration fee covers connector build-out, runbook onboarding and estate discovery. Support and upgrades are included for the first twelve months.

  1. Land

    A 60 to 90 day pilot inside one existing NOC delivery organisation.

  2. Prove

    Ticket deflection and cost per seat improve on your own contracts, measured in your numbers.

  3. Expand

    Roll out across a wider client base and new geographies.

Commercial terms are indicative and set per partner agreement. Bands and fees are quoted against the estate at the point of contract.

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.