Video 4 [03:53]: Allianz Project Nemo: 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))
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- 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)
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In this video, Prof. Ian walks through Allianz's Project Nemo using a workflow diagram to show how seven specialised AI agents collaborate to process an insurance claim. As the claim moves through the workflow, each agent performs a specific task—such as policy validation, weather verification, fraud detection, and payout calculation—before passing its output to the next agent. The Audit Agent consolidates all findings into a single report, which is then reviewed by a human claims officer, illustrating how both individual AI agents and the overall team of agents work together to support, but not replace, human decision-making.
Claim Submitted → Planner → Cyber → Coverage → Weather → Fraud → Payout → Audit → Human Review → Final Decision