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AI AgentsIntermediateProject

Build human-in-the-loop approval workflows for agents

Let agents move fast while keeping the risky steps under human control through approval gates, escalation paths, and audit trails.

90 minn8n, Slack, Claude10xCareer Team

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Pick the format that matches the level of support you want.

Self-pacedAvailable

Self-paced

Start immediately and work through the training on your own schedule.

Free
Human trainerComing soon

Human trainer

Join a guided cohort or workshop format when live delivery is available.

$99

Guided by an instructor

AI trainerComing soon

AI trainer

Practice with an AI-guided trainer experience tailored to the course topic.

$9

Personalized guidance

Overview

Agentic AI is most useful when it can do real work, but production teams still need approval points for sensitive actions. This course teaches you how to design human-in-the-loop systems that keep automation high while preserving accountability.

Who it's for

  • Ops teams automating approvals, routing, and follow-up work
  • Product teams shipping agents that interact with customers or internal systems
  • Leaders who want agent speed without surrendering control

What you'll build

  • An agent workflow with clear approval gates before sensitive actions
  • A review queue for low-confidence or high-impact decisions
  • An audit trail showing what the agent proposed and what the human approved

Prerequisites

  • A workflow where some actions are safe and others require review
  • Clear ownership for who approves what
  • Basic understanding of the tools the agent can access

Tools and setup

  1. Map the workflow from request to action
  2. Mark which steps can be automated and which need approval
  3. Define the data a reviewer needs to make a fast decision

Modules

Module 1: Classify risk

You will decide which agent actions are autonomous, which are reviewable, and which should always be blocked.

Module 2: Design the approval step

You will create review packets, confidence thresholds, and escalation rules so humans can approve quickly without redoing the whole task.

Module 3: Close the loop

You will log decisions, capture override reasons, and use review outcomes to improve future agent behavior.

Deliverable

A human-in-the-loop agent workflow with approval gates, escalation logic, and decision logging.

Common mistakes

  • Sending reviewers too little context to make a confident decision
  • Requiring approval on every step and eliminating the benefit of automation
  • Failing to log overrides and therefore learning nothing from human review

Next steps

Apply the pattern to finance approvals, outbound communications, procurement, customer operations, or internal support workflows.

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