[integration]
GitHub Enterprise review for teams that need more than AI comments.
Autometric brings best-in-class AI code review to GitHub Enterprise without dropping the governance, evidence, and deployment requirements enterprise buyers expect.
[github]
GitHub
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
[gitlab]
GitLab
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
[gerrit]
Gerrit
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
[perforce]
Perforce
Same best-in-class review engine. Native platform rendering. No compliance-only fallback mode.
Enterprise fit
Review depth and governance live together instead of competing for roadmap priority.
Repository scoping
Different repositories can carry different framework packs and review thresholds under one tenant.
Deployment flexibility
Use the review engine in SaaS, VPC, on-prem, or air-gapped models as requirements tighten.
[best-in-class review]
The full review engine runs here too.
GitHub Enterprise teams still want the best reviewer in the category. Autometric provides that across bugs, security, performance, style, and compliance rather than forcing a trade between code quality and governance.
[task context + governance]
Intent and evidence stay attached across the estate.
The GitHub surface is only one part of the purchase decision. Enterprise review also needs RBAC, evidence export, scoped rollout, immutable history, and procurement-ready trust materials. Linked tickets from connected task systems can still shape review expectations without changing where the review lands.
[compare callout]
Why this integration matters.
Many tools stop at GitHub Enterprise as their entire enterprise story. Autometric treats it as one surface in a broader governed SCM estate.
[cta]