AI & Productivity · Lesson 6

Design Responsible Agentic AI Workflows for Business

Understand where AI agents can coordinate work and where approvals, access limits and auditability must remain explicit.

Agentic systems can take multiple actions, which raises the cost of vague goals and broad permissions. Start with bounded, reversible work and visible checkpoints.

What you will learn

  • Identify tasks that are suitable for agentic assistance
  • Define tools, permissions and approval gates
  • Evaluate output quality, risk and escalation paths
Practice assignmentDiagram one candidate workflow. Mark every external action, sensitive input and irreversible decision, then add a human approval before each high-impact step.

How to get the most from this lesson

  1. Preview the learning outcomes before pressing play.
  2. Pause when the creator demonstrates a decision and reproduce it in your own test project.
  3. Complete the practice assignment without copying the finished example.
  4. Write down one principle you can reuse in a different project.

Quality checklist

  • Can you explain the core idea without replaying the video?
  • Did you produce a small, verifiable result?
  • Did you check tool permissions, licenses and current documentation before applying it to important work?
Creator credit: This lesson features a video by Google Workspace. Black Edition did not produce or re-upload the video; our companion guide is independently written to add learning context and practice.