A change can be authorized and still take production down.
Permissions answer whether someone may change production. Nothing answers whether this change should happen right now, under these conditions. ChangeGuard AI is building that answer — the intelligence and control layer for infrastructure change. It starts with Kubernetes, where change is most frequent, most consequential and most legible, and it earns each further domain on evidence rather than ambition.
What we’re building
The decision layer for infrastructure change: not another dashboard, but a system that understands change, explains failures with evidence, and helps teams decide safely — starting with Kubernetes, where the complexity and the cost of outages make the need immediate.
How we build it
Authority over production is earned, never assumed. Every capability ships behind evidence and human control, we label what’s generally available versus emerging, and the roadmap follows demonstrated engineering demand — not model capability.
Principles we build against
Evidence over assertion
Every claim ties to a real signal. Uncited reasoning is dropped, not shown.
Reduce work, don’t add it
A capability has to remove engineering thinking, not relocate it into one more tool to check.
Earn the critical path
ChangeGuard AI starts advisory and gains responsibility only as it proves itself in real use.
Come see it run
The fastest way to understand ChangeGuard AI is to point it at a cluster.