# Governed Connected Agent Stack

> A controlled stack for internal agents that cite approved knowledge, propose bounded actions, and wait for human approval when impact or uncertainty is high.

- Canonical: https://gptnavi.com/stacks/governed-connected-agent-stack
- Estimated monthly cost: $0-$700/month plus model usage
- Last materially updated: 2026-08-19
- Best for: Operations teams, AI engineers, Customer success teams

## Problems this stack solves

- Scattered knowledge
- Unsafe agent actions
- Broad credentials
- Missing audit trail
- Unclear escalation

## Recommended tools

### Knowledge layer

Recommended: LlamaIndex, BackEngine

Why: Connect approved, permission-aware sources and require evidence in responses.

### Agent orchestration

Recommended: LangGraph, CrewAI

Why: Model each research, draft, approval, action, and recovery state explicitly.

### Typed policy and tools

Recommended: PydanticAI, Composio

Why: Validate inputs and outputs while granting a small set of scoped business actions.

### MCP discovery

Recommended: Smithery

Why: Evaluate maintained tool servers before placing them inside a production agent workflow.

## Beginner setup plan

1. Start with a read-only, cited answer use case.
2. Create an explicit policy for each allowed external action.
3. Keep credentials scoped and approval in the workflow.
4. Review failed, refused, and corrected interactions every week.

## Included workflows

- https://gptnavi.com/workflows/governed-agent-with-connected-tools
- https://gptnavi.com/workflows/governed-knowledge-agent-for-account-and-policy-questions
- https://gptnavi.com/workflows/ai-agent-ops-from-recurring-task
- https://gptnavi.com/workflows/llm-evaluation-before-production