Module 14 Wrap-up: The Collaborative AI
·AWS Bedrock

Module 14 Wrap-up: The Collaborative AI

Hands-on: Design a human-in-the-loop workflow for a high-value financial transaction agent.

Module 14 Wrap-up: The Safe Orchestrator

You have learned that the best AI is the one that knows when to ask for help. You have mastered the patterns of Approval Flows for high-risk actions and Escalation for complex or emotional conversations. This balance of autonomy and oversight is the gold standard for enterprise systems.


Hands-on Exercise: The Safe Payout

1. The Scenario

You are building an agent that pays out bonuses to employees.

  • Goal: Automate payouts $100.
  • Constraint: Anything $1,000 requires a manager's "Approve" click.
  • Constraint: Anything between $101 and $999 requires a "Second Opinion" from a different AI agent.

2. The Task

Write the logic for the Action Group Lambda.

  • Use if/else statements to return different status codes depending on the amount.
  • For the $1,000 case, return a message: "STALL: Managerial Approval Required."

Module 14 Summary

  • Human-in-the-Loop: Essential for high-stakes, irreversible tasks.
  • Pause and Resume: The mechanical way HitL is implemented in Bedrock.
  • Escalation: Safeguarding user experience when AI logic fails.
  • Context Packages: Ensuring humans have the full picture during a handoff.

Coming Up Next...

In Module 15, we look at Observability. We will learn how to use CloudWatch and AWS X-Ray to see exactly what our agents are doing, how much they cost, and why they occasionally fail.


Module 14 Checklist

  • I can describe the benefit of a "Pause and Approve" flow.
  • I understand how to detect "Anger" as an escalation trigger.
  • I have written a Lambda response that signals a manual review is needed.
  • I know why "Summary Handoffs" are a best practice.
  • I have identified at least 2 "Irreversible" actions in my business.

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