LangGraph agent workflow with policy classification and human-in-the-loop approval
Structure the agent as a graph: interpret the question, classify whether it is read-only, a modification, a deletion or a sensitive operation, gather evidence through the authenticated MCP gateway, check policies, execute read-only actions immediately, and hold write or sensitive actions for human approval — logging every outcome to audit logs.
online B2B Deep Tech / Infrastructure
From AI Engineer — Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma at 14:01
Problem: Agents performing write, delete or sensitive operations need a controlled path with approval and an audit record rather than unreviewed execution.
For: Enterprises deploying agents that can perform state-changing actions
Products from this video
Amazon CloudWatch Cloud Spanner Elastic FastMCP Grafana Grafana Tempo JFrog Artifactory Kubernetes LangChain LangGraph Loki OpenTelemetry Prometheus Redis SQLite
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