Video 4 [02:15]: Fool Proofing Scaling
- 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 (Completed)
- 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 discusses why successful pilots can struggle when scaled across an organisation. He highlights challenges such as messy real-world data, increasing exceptions and the need for ongoing maintenance and governance. Professor also emphasises the importance of patience, continuous improvement and clear ownership to ensure AI solutions remain reliable and sustainable over time.