What production operations costs you today, and what it costs with NeuBird.

For a company of 2,500 to 5,000 employees running at 99.9% availability, the benchmarks in this calculator put the cost of keeping production running at about $12M a year: staff time, war rooms, on-call, observability tooling and the revenue lost during roughly 9 hours of downtime. In that scenario an Agentic Operations Center takes about 50% off that total, most of it by preventing incidents and cutting short the ones that land, for a fee of roughly 10% of what building the same thing yourself would cost. Your own figures will differ; the calculator above recalculates all of it.

An in-house build pays a team for about a year before the first saving lands, keeps part of that team on maintenance forever, and spends tokens again on every investigation. NeuBird costs roughly 10% of that and starts returning capacity in the first month. Gartner expects over 40% of agentic AI projects to be canceled by the end of 2027.

No. It counts only the engineers who carry production. The calculator takes your headcount, applies the share of US jobs that are computer and maths roles (3.4%, Bureau of Labor Statistics), then assumes 60% of those engineers are on the production rotation, with a floor of eight for the smallest workable 24/7 on-call team. A company of 3,750 employees is therefore modelled with 128 engineers, 77 of whom carry production. The 3.4% is an average across every industry; software companies run closer to 46%, so for a technology company these figures are deliberately conservative and the real savings are usually larger.

No. NeuBird queries your telemetry where it already lives across 50+ tools with zero telemetry storage, so nothing is copied into another data store and you pay no second ingestion bill. Memory holds conclusions, causal chains and approvals, never raw logs, metrics or traces. That is why the observability segment is identical on all three bars: your monitoring bill is the same whichever path you take.

These are industry benchmarks, not a measurement of your environment, and the figures that are ours rather than published are named as NeuBird assumptions. Cost of a minute of downtime, by company size: $3,637 to $23,750 a minute (Enterprise Management Associates, IT Outages: 2024 Costs and Containment (commissioned by BigPanda), April 2024). Cost of downtime for companies under 1,000 employees: $1,667 a minute (ITIC, 2024 Hourly Cost of Downtime Report). Serious incidents a year, and how long each one runs: 25 a year (12 under 1,000 employees), 175 minutes each (PagerDuty, survey by Censuswide, June 2024). People-hours spent in the war room per serious incident: 8 hours (incident.io, What does good incident management look like?). Share of a normal week that goes to routine operations work: 30% (Catchpoint SRE Report 2025). After-hours interruptions per responder a month: 2 a month (PagerDuty, State of Digital Operations 2022). Median engineer and senior engineer pay: $226,000 and $313,000 (Levels.fyi, End of Year Pay Report 2025). Benefits and overhead on top of pay: Benefits run to 1.43 times pay across US employers (US Bureau of Labor Statistics, Employer Costs for Employee Compensation, June 2026). Computer and maths roles as a share of US employment: 3.4% (US Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025). Smallest workable 24/7 on-call rotation: 8 engineers (Google, Site Reliability Engineering, chapter 11). On-call stipend, and the share of companies that pay one: $540 a week, paid by 40% of companies (incident.io survey via The Pragmatic Engineer, 2022). Model usage for one investigation: $0.71 an investigation (Microsoft, Azure SRE Agent pricing and billing). Share of downtime NeuBird removes, by preventing incidents and shortening the rest: 80% (NeuBird). Ops engineering capacity returned: 40% (NeuBird). Fewer P1 war rooms: 80% (NeuBird). Lower incident management costs, on investigations and after-hours pages: 60% (NeuBird). Share of downtime a home-built agent removes: 40% (NeuBird estimate for an in-house build). Hours of customer-facing downtime a year, by how often things break: Stable 99.99% (0.9h), Average 99.90% (8.8h), Fragile 99.20% (70.1h) (NeuBird). Agentic AI projects expected to be canceled: Over 40% of agentic AI projects will be canceled by the end of 2027 (Gartner press release, 25 June 2025). Share of engineers who carry production: 60% (NeuBird assumption, from what a 24/7 rotation needs alongside feature work). Time lost to one after-hours page: 1 hour (NeuBird). Time spent on one everyday incident: 2 hours (NeuBird). Time to build the same thing in-house before the first saving lands: 12 months (NeuBird assumption, from what a connector, context and guardrail build takes). Share of the build team kept on for upkeep once it ships: 50% (NeuBird assumption, for maintaining connectors, prompts and guardrails). Benefits and overhead loaded on top of pay in this model: 1.3 times pay (NeuBird assumption: Levels.fyi pay already includes bonus and stock, so 1.3 is used rather than the BLS 1.43). The full report shows every formula with the numbers filled in.

Every input and formula with the numbers filled in, a year-by-year table, the build-it-yourself comparison, every source with whether it is independent research or a vendor figure, and how NeuBird pricing works.