Video 1 [04:04]: Module Introduction
- Module 7: Introduction and Instructions (Completed)
- Video 1 [04:04]: Module Introduction (Completed)
- Video 2 [06:13]: Demo vs Pilot (Completed)
- Video 3 [02:46]: Klarna: Case Study (Completed)
- Video 4 [03:53]: Allianz Project Nemo: Case Study (Completed)
- Video 5 [02:58]: Salesforce Agentforce: Case Study (Completed)
- Watch: The Race for Excel AI Agents: Here's What to Know (Completed)
- Video 6 [04:16]: Chatbot vs Agent (Completed)
- Video 7 [03:37]: Human-Guided Agent Patterns (Completed)
- Self-Study Quiz 7.1: Think & Apply💡From Experimentation to Real-World Pilots ((Must submit the Quiz))
- Video 8 [04:09]: Connectors for Automation (Completed)
- Video 9 [03:05]: Five Design Principles (Completed)
- Video 10 [03:41]: Multi-Agent Platforms (Completed)
- Video 11 [02:15]: Singapore Bank’s Agentic Workflow: Case Study (Completed)
- Video 12 [03:22]: When to use Multi-Agent Platforms (Completed)
- Self-Study Quiz 7.2: Think & Apply💡Designing Agentic Workflows ((Must submit the Quiz))
- Video 13 [10:20]: M365 Copilot Workflows: Demo (Completed)
- Self-Study Assignment 7.3: Think & Act💡 Design Your AI Workflow Pilot (Completed)
- Reading: Spot the Automation Opportunity (Completed)
- Video 14 [04:03]: Final Thoughts (Completed)
- Self-Study Assignment 7.4: Think & Act💡Workflow Governance Review (Completed)
- Discussion Board 7.5: Think & Share💡Trusting AI Agents at Work ((Not yet completed))
- Summary and Video Transcripts: Module 7⭐ (Completed)
- Professor Ian's Recommendation for Further Learning: Module 7 (Completed)
- Module 7: Q&A Discussion Board ((Not yet completed))
- Module 7: Feedback Survey ((Must submit the Quiz))
In this module, Prof. Ian explores how organisations move beyond AI experimentation and into real operational deployment. You’ll learn how to design effective AI pilots, identify suitable workflows for automation and understand how AI agents and workflow systems create business value. This video also focuses on governance, human oversight and the progression from simple AI tools to scalable multi-agent systems. Ultimately, it equips leaders to build AI-enabled operations that are practical, responsible and sustainable.