Video 8 [07:50]: Agentic AI: Implementation & Pitfalls
- Module 9: Introduction and Instruction (Completed)
- Video 1 [03:50]: Module Introduction (Completed)
- Video 2 [08:02]: Agentic AI Landscape (Completed)
- Video 3 [04:40]: AI in Operations (Completed)
- Video 4 [06:46]: Trust & Compliance (Completed)
- Self-Study Quiz 9.1: Think & Apply💡 Evaluating Agentic AI Opportunities in Operations ((Must submit the Quiz))
- Video 5 [08:43]: Account Management Shift (Completed)
- Video 6 [06:05]: Pipeline Transformation (Completed)
- Video 7 [05:56]: Future & Integration (Completed)
- Video 8 [07:50]: Agentic AI: Implementation & Pitfalls (Completed)
- Self-Study Quiz 9.2: Think & Apply💡 Leading Agentic AI Transformation Across Customer Operations and Sales ((Must submit the Quiz))
- Video 9 [07:32}: Strategy & Operating Model ((Must view in order to complete this module item))
- Video 10 [03:16]: Final Thoughts-2 ((Must view in order to complete this module item))
- Self-Study Assignment 9.3: Think & Act💡Leading in an AI-Enabled Workplace ((Must view in order to complete this module item))
- Reading: The Executive Decision Room ((Must view in order to complete this module item))
- Self-Study Assignment 9.4: Think & Act💡 Leadership Lessons for Organisational Transformation ((Must view in order to complete this module item))
- Discussion board 9.5: Think & share 💡Leading Organisational Change for Agentic AI Adoption ((Not yet completed))
- Summary and Video Transcripts: Module 9⭐ ((Must view in order to complete this module item))
- Professor Ian's Recommendation for Further Learning: Module 9 ((Must view in order to complete this module item))
- Module 9: Q&A Discussion Board ((Not yet completed))
- Module 9: Feedback Survey ((Must submit the Quiz))
In this video, Prof Ian outlines a practical roadmap for implementing Agentic AI, covering organisational readiness, pilot planning, success metrics, and common deployment risks. He explains how to prepare teams, design a structured 90-day rollout, measure business impact, and avoid the failure modes that often derail AI initiatives. The emphasis is on disciplined implementation, governance, and continuous learning to support successful enterprise adoption.