ROI calculator
What is an AI SRE worth to your team?
Production incidents quietly tax your roadmap — every crash is hours of detect, triage, root-cause, fix, and verify. Estimate how much of that time an always-on AI SRE gives back.
Your numbers
Advanced assumptions
That's $3,381/month after Aient's cost, from giving back 37 hours of engineering time every month.
No magic numbers — just your inputs
We start from the engineer-hours your team spends on production incidents each month: incidents per month × hours per incident. That is the time on the table.
Aient doesn't touch all of it the same way. We split your incidents into two groups. The code-level share — exceptions and crashes that resolve to a stack frame in a repo Aient can read — are the ones it auto-drafts a fix for, as a reviewed pull request. Everything else is detected in real time and routed to your team with a root-cause writeup. We apply a separate, adjustable time-saving to each group, because a drafted fix saves more than a well-framed handoff.
Multiply the reclaimed hours by your fully-loaded engineer cost to get the monthly value, subtract your estimated Aient spend, and you have net savings and a return multiple. Defaults are deliberately conservative — a 40% code-level share, you review every PR — so the number is one you can defend, not one we inflated.
Questions, answered
What does the Aient ROI calculator estimate?
It estimates the engineering time and money an AI SRE gives back each month, based on your production incident volume, the hours you spend per incident today, your fully-loaded engineer cost, and the share of incidents that are code-level. Every figure is derived live from your inputs — we don't pre-load a headline number.
How does Aient actually save engineering time?
For the code-level subset of incidents, Aient root-causes against your source and opens a reviewed GitHub pull request with the fix, removing most of the manual detect-triage-draft loop (you still review and merge). For everything else, it detects in real time and routes the issue to your team with a root-cause writeup, so they start from context instead of from zero.
Is the ROI guaranteed?
No. These are estimates from your own assumptions. Actual results depend on your incident mix, your codebase, and how many problems resolve to code. The calculator deliberately separates the auto-fixed subset from the routed subset, and defaults the auto-fix share low, so you can be conservative.
What counts as a code-level incident?
An exception or crash that resolves to a stack frame in a repository Aient can read. Infrastructure, configuration, capacity, data, and upstream-vendor causes are detected and routed to your team with context rather than auto-fixed.
What does Aient cost?
A flat $99/month base plus usage for the AI work — no per-seat fees, no per-gigabyte telemetry tax, no per-repo limits. You set a budget and Aient never exceeds it, with live spend tracking and notifications at your threshold.
Stop paying the incident tax
Put an always-on AI SRE on call. Connect your telemetry and GitHub, and let Aient close the loop on the production bugs that are eating your team's time.