GUIDE
The AI Cost of Analyzing CI/CD Deploys
What it would cost in LLM tokens to analyze deploy events from GitHub Actions, Vercel, ArgoCD or Azure Pipelines with AI.
What this covers
Deployment frequency and change failure rate — 2 of the 4 DORA metrics — both start with a deploy event. This is the highest-volume category in this estimate, because it's modeled at DORA's own published "elite" performance tier — teams deploying multiple times a day, not once a week. An LLM-based alternative would reason about each deploy individually: does it count as a production deploy, does a nearby incident correlate with it.
The math
A 5-engineer team deploying at elite frequency (~3/day) produces roughly 90 deploys a month. Each analysis call costs an estimated USD 0.0125 (cheap-tier model) to USD 0.125 (frontier-tier model) — see the full method for how that per-event cost is built.
| Teams | Deploys/mo | Estimated AI cost/mo |
|---|---|---|
| 1 | 90 | USD 1.13 – 11.25 |
| 5 | 450 | USD 5.63 – 56.25 |
| 7 | 630 | USD 7.88 – 78.75 |
How moasy.tech does it instead
Deployment frequency and change failure rate recalculate straight from synced deploy data — what counts as a production deploy is configurable per team, and connecting more than one CI/CD tool to the same team doesn't double-count the same deploy, all at zero per-computation cost. See the full implementation on the DORA Metrics feature page, or the full cost comparison, with a calculator, for every integration category combined.
Questions about this estimate
Why use "elite" tier instead of a more typical deploy frequency?
Understating deploy volume would understate AI cost too — DORA's elite tier (multiple deploys a day) is the frequency moasy.tech's own target customers actually aim for, so it's the more honest baseline for this category. A team deploying weekly or monthly instead would scale this number down proportionally.
Does a rollback or redeploy count as a separate event here?
Yes — same as moasy.tech's own deployment frequency calculation, any deploy reaching production counts, including rollbacks. See the deployment frequency guide for that decision in more detail.