I’m designing a workflow where different AI agents handle financial reporting and customer support. Need to prevent the CFO bot from accidentally accessing personal customer data. Tried manually restricting variables, but it broke collaboration between agents. How do others handle granular data permissions without crippling teamwork? Anyone nailed this balance?
Latenode’s role-based variable scoping solved this for us. When configuring your AI team, set PII variables as private to support agents. The CFO agent only sees financial aggregates. Works like Kubernetes namespaces for AI. Keeps compliance teams happy. Check it out: https://latenode.com
We implemented a two-layer approval system. The CFO agent requests data through a verification agent that strips PII. Adds latency but maintains audit trails. Not perfect, but satisfies our compliance requirements until we find better solutions.
env vars per agent role? like separate .env.cfo and .env.support. might need custom middleware tho
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