AI agents can automate complex workflows, but sensitive actions require more than autonomous execution. They need explicit authorization, enforceable policies, and verifiable audit trails.
Reliable AI agents need a clear boundary before they act.
Raposa Aval is a human-approval layer for AI agent actions. It connects MCP and API-based tool calls with explicit review, approval or rejection, and auditable records.
My work on Raposa Aval focuses on controlled execution...