How are you controlling risky AI outputs in production?

Hey everyone 👋

Curious how people are handling risky AI outputs in production?

Things like:

• Wrong actions

• Unexpected responses

• Lack of visibility

I’m building Zelta to help with this (monitoring + approvals + audit logs)

But I’d love to know — how are YOU solving this today?