Design the Workflow: When Humans Lead, When AI Assists

AI workflow design: human-in-the-loop AI roles that actually work in real workplaces Designing AI workflows so humans lead on judgment, ethics, and context while AI assists with automation, data, and prediction for AI assisted work Learn how to map human vs AI roles, build ethical AI workflows, and design workflow automation with AI that boosts productivity without losing control

What You'll Learn:

• How to map any process into clear Human-Led, AI-Assisted, and AI-Optional workflow steps so you always know who (or what) should do what
• A simple, repeatable framework for AI workflow design that balances AI productivity tools with human judgment, ethics, and accountability
• How to use human-in-the-loop AI patterns (human-in/on-the-loop) to keep humans in charge while still benefiting from workflow automation with AI
• Practical ways to redesign your current workflows so AI handles repetitive, data-heavy work and humans focus on context, creativity, and decisions
• How to document AI collaboration with humans using swim-lane diagrams plus RACI-style labels to clarify ownership, guardrails, and fallbacks
• Common mistakes in human vs AI role design (like over-automation or unclear hand-offs) and how to avoid them in your own workflows
• A quick reflection routine: capture key insights, pick one real situation to apply them to, and choose one tiny action to take this week
• Ethical AI workflow principles that reduce risk, preserve trust, and keep humans accountable even as you increase automation