Autonomous Workflows (Non-RAG Agentic Loop)

Autonomous Workflows (Non-RAG Agentic Loop)

Agentic AI can also perform complex “work” that doesn’t rely on retrieving external documents. This usually involves an agent acting as a controller for other services via Function Calling.

Example: The “Audit Agent” Workflow

This agent is triggered by an Azure Event Grid event (e.g., a new high-value transaction is recorded). It performs an autonomous loop to verify compliance:

  1. Trigger: An Event Grid event signals a transaction over $10k.
  2. Action 1 (Azure Function): The agent calls a function to fetch the transaction details from Azure SQL.
  3. Action 2 (External API): The agent calls an external fraud-scoring service to get a real-time risk score.
  4. Reasoning Loop: The agent analyzes the risk score vs. the transaction history.
  5. Action 3 (Logic Apps): If suspicious, the agent triggers a Logic App to:
    • Lock the user account.
    • Send an SMS alert to the fraud team.
    • Draft a detailed investigation report in Azure Blob Storage.

Sample Agent Reasoning (Pseudocode)

# The agent's decision logic within the App Service loop
if risk_score > 0.8:
    agent.call_tool("LockAccount", user_id=45)
    agent.call_tool("SendSecurityAlert", message="High-risk transaction detected.")
    agent.generate_report("Audit_Report_v1.pdf")
else:
    agent.call_tool("ApproveTransaction", transaction_id=102)

Additional Metadata

Autonomous Workflows (Non-RAG Agentic Loop)


📇 Additional Metadata

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