Hi All,
I'm currently building and refining a production-readiness framework for Rovo Agent deployments in enterprise environments and wanted to open it up for critique from the community.
My current checklist covers five areas:
- Documented and reviewed knowledge boundaries with no unnecessary over-scoping
- Conservative action boundaries (write actions requiring human confirmation gates)
- Structured reasoning with source citation requirements for every claim
- Graceful degradation when information cannot be found (no speculation)
- Explicit escalation paths directing users to named teams or channels when the agent reaches its scope boundary
What I'm less confident about is the testing protocol.
How are people systematically validating permission containment across multiple access levels before declaring an agent production-ready?
And how are teams handling versioning and change management for system prompts?
For example:
- New Confluence spaces added
- Existing permissions changed
- New knowledge sources introduced
- Agent instructions updated
Are these treated as informal configuration changes, or are they going through the same governance and approval process as other production changes?
My suspicion is that prompt and knowledge-boundary changes often receive less governance scrutiny than they should.
Would love to hear what has worked (or not worked) in your own deployments.
