Video 3 [02:13]: Driving Automation with AI Agents
- Module 8: Introduction and Instructions (Completed)
- Video 1 [04:55]: Module Introduction (Completed)
- Video 2 [02:47]: Planning a Pilot (Completed)
- Video 3 [02:13]: Driving Automation with AI Agents (Completed)
- Video 4 [02:15]: Fool Proofing Scaling ((Must view in order to complete this module item))
- Self-Study Quiz 8.1: Think & Apply💡 Pilot Readiness: From Experimentation to Organisational Learning ((Must submit the Quiz))
- Video 5 [06:51]: From Pilots to Production ((Must view in order to complete this module item))
- Video 6 [02:54]: Centralised vs Federal Agentic Workflows ((Must view in order to complete this module item))
- Self-Study Quiz 8.2:Think & Apply💡Scaling AI Responsibly: Governance, Operating Models and Value Realisation ((Must submit the Quiz))
- Video 7 [07:38]: Real-World AI Scaling: What Actually Works ((Must view in order to complete this module item))
- Video 8 [08:41]: Operationalising Agentic Workflows ((Must view in order to complete this module item))
- Video 9 [03:35]: The SOP & KPI Evolution: A 4-Level Maturity Model ((Must view in order to complete this module item))
- Reading: Pilot-to-SOP Readiness Check ((Must view in order to complete this module item))
- Video 10 [03:16]: Final Thoughts ((Must view in order to complete this module item))
- Self-Study Assignment 8.4: Think & Act 💡From Pilot to SOP: Scaling an AI Workflow ((Must view in order to complete this module item))
- Self-Study Assignment 8.5: Think & Act💡Human-AI Responsibility Mapping ((Must view in order to complete this module item))
- Summary and Video Transcripts: Module 8⭐ ((Must view in order to complete this module item))
- Professor Ian's Recommendation for Further Learning: Module 8 ((Must view in order to complete this module item))
- Module 8: Q&A Discussion Board ((Not yet completed))
- Module 8: Feedback Survey ((Must submit the Quiz))
In this video, Prof. Ian explains how AI agents support automation by processing, interpreting and moving data across workflows. He discusses the importance of triggers, rules, actions, logging and alerts in creating reliable automation systems while ensuring humans can intervene when needed. He also emphasises that effective AI automation is fundamentally data-driven, requiring organisations to structure and manage data in ways that support consistent workflow execution.