The full expected annual value created by OpsRabbit after applying scope, adoption, attribution, and realization assumptions.
SRE / Production Operations
Quantify investigation productivity, downtime avoided, and SLA penalties avoided.
Examples: service or API degradation, transaction failures, latency spikes, failed production jobs, unavailable dependencies, evidence collection, RCA, missing runbooks, and repeat incidents.
The editable $1,000/min starting point is deliberately conservative. Impact shares prevent treating every P1/P2 ticket as a full customer-facing outage.
This factor discounts gross value for adoption, in-scope workload, OpsRabbit attribution, and possible overlap between benefit categories.
Examples: deployment or environment promotion, certificate and secret updates, access changes, file or data movement, configuration and schedule changes, failed-job reruns, logging changes, and production enablement.
The sample requests include deployments, access, certificates and secrets, file movement, configuration changes, failed jobs, reruns, logging, and investigation of restarts—well aligned to OpsRabbit's context and evidence workflow.
Examples: cloud-service degradation, quota or capacity constraints, unhealthy resource state, network and DNS failures, backup or recovery checks, infrastructure drift, provider changes, cross-service dependencies, and approved remediation.
This factor discounts gross value for adoption, in-scope workload, attribution, and overlap with other operational savings.
How will the value fund the investment?
OpsRabbit may create measurable operational value without immediately reducing the current cost base. This section keeps modeled economic value separate from the current-year budget actions that may fund the investment.
Automatic Value Classification
The calculator classifies the modeled benefit by source. Checked gray items are already supported by the operational calculation and cannot be edited. Select only the current-budget actions your organization can confirm.
Confirmed Budget Funding
Current-year spend that finance can remove or directly offset. Default: $0 until confirmed.
Select a cashable path above only when a budget owner can confirm the reduction. Automatically classified capacity is separate and is not entered here.
Cost Avoidance
Future spend or business-impact cost that the current model expects OpsRabbit to prevent.
Downtime avoided and SLA penalties avoided are classified here after the realization factor.
Capacity Value
Released engineering time when current payroll and supplier spend remain unchanged.
Use this value for higher throughput, backlog reduction, modernization, reliability, or delivery—not as an automatic cash saving.
Simple rule: OpsRabbit calculates economic value first. It automatically classifies modeled downtime/SLA value as Cost Avoidance and released engineering time as Capacity Value. Confirmed Budget Funding appears only after a concrete current-year budget reduction is selected and entered—and it does not change either modeled value.
Two distinct steps: The realization factor adjusts confidence and scope. This automatic classification then explains how the resulting expected value may affect the budget.
Budget Realization
Cost Avoidance and Capacity Value compose the modeled economic benefit. Confirmed Budget Funding is a separate cash-coverage view and is never added to or subtracted from those values.
The annual payroll, contractor, overtime, supplier, support, or tool reduction confirmed by a budget owner.
Shown separately for cash coverage; it does not reduce Capacity Value or Cost Avoidance.The portion expected to prevent future hiring, future support growth, outage cost, SLA exposure, or other planned expenditure.
Cost avoidance protects future budgets but may not create immediate current-year cash savings.The value of engineering and operations time released for higher-value work when the current cost base remains unchanged.
This amount is already counted here. It is not the same as the cashable annual budget reduction field above.Return Metrics
Economic metrics use total modeled value. Cash-backed metrics use confirmed current-year budget funding only.
(Total Economic Benefit − Year 1 Investment) ÷ Year 1 Investment
(Confirmed Budget Funding − Year 1 Investment) ÷ Year 1 Investment
Year 1 Investment ÷ Monthly Total Economic Benefit
Year 1 Investment ÷ Monthly Confirmed Budget Funding
What this result means
The result will update as assumptions change.
Potential Funding Source
Applicable sources based on the selected budget realization paths:
The calculator identifies potential budget sources but does not assume that every economic benefit can be converted into cash. Final budget ownership must be confirmed with finance, operations, procurement, or the business sponsor.
Commercial assumptions
Research basis and model notes
- New Relic, 2024 State of Observability for Retail: retail median MTTR was 46 minutes; median annual downtime was 164 hours; 79% estimated at least $500K in annual observability value and median ROI was 302%.
- Uptime Institute, Annual Outage Analysis 2024: 54% said their most recent significant outage cost more than $100K; 16% said more than $1M.
- Sample operational request library: working examples include deployments, file movement, access, certificates, secrets, configuration, failed jobs, reruns, logging, restarts, and production enablement.
- OpsRabbit SDR Conversation Guide: value themes include faster investigation and recovery, lower repetitive toil, less senior-expert dependency, improved developer productivity, evidence-backed RCA, and efficient operational scale.
- MetricNet tickets-per-user benchmark: published cross-industry volumes range from 0.54 to 1.38 tickets per supported seat per month, reinforcing that request volume should be normalized by supported population rather than treated as one universal retail total.
- ServiceNow ITSM Benchmarks: comparative reports use participating instance data and industry peers; customer history remains the best baseline for a value case.
- McKinsey, Putting AI to work: scaled AI adoption was associated with long-term efficiency potential of about 20–25% in the cited operating-model example.
- McKinsey, Reimagining tech infrastructure with agentic AI: initial hosting-operations deployments can unlock 20–40% savings; one service transformation redeployed 50% of agent capacity. The calculator treats 50% by Year 3 as an upper-bound maturity scenario, not a guaranteed result.
- Deloitte, Using Generative AI to reduce IT ticket volume: a ten-month case reported 55% fewer incoming tickets, 40% lower backlog, and 35% optimization of support-team capacity.
- OpsRabbit Enterprise Pricing & Commercialization Playbook: $70K platform ARR with one capability, $25K per added capability, $25K–$50K deployment, $30K premium support, and capped $25K–$75K success fee.
Planning model only. Customer-specific baselines, request categories, eligible scope, excluded work, attribution, and source data should be agreed before a commercial proposal. Expected benefit applies a realization factor to reduce false precision and possible double counting.