Video 3 [02:46]: Klarna: Case Study
- 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 video, Prof. Ian introduces how organisations are deploying AI-powered agents to solve real business challenges and improve customer experiences. Using the example of Klarna, he demonstrates how AI assistants can manage high volumes of customer enquiries, reduce response times and handle routine issues at scale. The case highlights how AI and humans can work together, with AI managing repetitive interactions while people focus on more complex cases. It also illustrates the measurable business impact that well-designed AI agents can deliver.