ROI Calculator

What Could OrcaMonitor
Save Your Team?

Enter your environment details below. The estimate uses published industry research and a planning assumption for faster resolution. It is not based on an OrcaMonitor customer sample.

Illustrative estimate Forrester & Gartner data Not a customer count

Your Environment

250

Switches, routers, servers, firewalls, APs

102,000
5 people

Engineers who respond to incidents

1 people50 people
$65/hr

Fully-loaded (salary + benefits + overhead)

$20/hr$200/hr
$80,000/yr

All tools combined (Zabbix, PRTG, SolarWinds, etc.)

$5,000/yr$1,000,000/yr
2.5 hrs

Average time to resolve a network incident

0.5 hrs24 hrs
6 incidents

P1 + P2 network incidents per month

1 incidents200 incidents
2 hrs

Per engineer, reviewing and filtering alerts

0.5 hrs8 hrs
$3,000/hr

Lost revenue + SLA penalties per hour of outage

$500/hr$500,000/hr

* All calculations use conservative estimates. OrcaMonitor deployment analytics use median values — 50th percentile, not best-case.

Projected 12-Month ROI

3857%return on
investment

Total annual savings

$593,560

Payback period

1 mo

New MTTR (after OrcaMonitor)

33 min

Down from 150 min · 78% assumption

Triage hours saved / month

182 hrs

Across 5 engineers · 91% noise assumption

Incident cost savings / mo

$35,100

6 incidents × faster resolution

Engineer time savings / mo

$11,830

Hours saved × hourly cost

Tool consolidation savings

$30,400

Replace 3–5 legacy tools (38%)

Est. OrcaMonitor annual cost (Cloud)

$14,999

Includes managed infrastructure

Net Annual Savings

$578,561

After OrcaMonitor subscription cost

Research & Data

Every Number Has a Source

Our calculator draws on published industry research. Where a figure is an OrcaMonitor planning assumption, it is labeled as one.

Downtime Cost

$9,000/min

Average cost of network downtime (enterprise)

  • 79% of enterprises experienced at least one critical outage in the past 12 months
  • Average time to detect (MTTD) without AI ops: 4.2 hours

Read full analysis

Alert Fatigue

67%

of teams miss critical alerts due to noise

  • Average NOC receives 2,300–4,800 raw alerts per day
  • Only 5.7% of alerts require human action — the rest is noise

Read full analysis

AI Ops ROI

347%

3-year ROI on AI Ops platforms (Forrester TEI)

  • Median payback period: 5.8 months post-deployment
  • 52% reduction in P1/P2 incident frequency

Read full analysis

MTTR Reduction

78%

planning assumption for MTTR in this calculator

  • MTTD and MTTR figures below are the assumption, not a measured median
  • Use your own incident rate and team cost for the estimate

Read full analysis

Engineer Productivity

2.4 hrs

saved per engineer per day

  • 5-person team recovers ~3,100 engineering hrs/year
  • Runbook execution time drops by 81% with AI automation

Read full analysis

Security & Compliance

None

inbound firewall rules on the path to devices

  • Outbound-only agent path — no inbound firewall rule for device access
  • Chat answers questions; changes go through staged ticket approval

Read full analysis

Calculation Methodology

All projections use a planning assumption for resolution time. They are not medians from OrcaMonitor customers. Swap in your own baseline before you take a number into a budget conversation.

MTTR reduction: 78%

Planning assumption, not a measured result

Alert noise cut: 91%

Planning assumption, not a measured result

Tool consolidation: 38% budget

Replaces 3–5 legacy tools

Triage time saved: 91%

Planning assumption, not a measured result

Referenced Studies

Gartner IT Downtime Report2024
Ponemon Institute Cost of Downtime2024
Forrester TEI: AI Ops Platforms2023
EMA Research: NOC Alert Fatigue2024
IDC AI Ops Productivity Study2024
Aberdeen Group AI Ops Benchmark2023

Ready to see your real numbers?

Our team will build a custom ROI model for your environment — free, in 48 hours, no commitment.