Professor Ian's Recommendation for Further Learning: Module 8

OIP.webpProfessor Ian's Recommended Readings

1. Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy

This content examines how organisations are moving agentic AI systems from experimentation to enterprise-scale deployment while balancing autonomy, accountability, safety and governance. Through a real-world case study, it shows how governance is embedded into system architecture, tool access, data usage, memory management and performance improvements. It also presents seven key lessons for scaling agentic AI responsibly and effectively.

As you engage with this content, you will learn how organisations govern AI agents in practice, understand the challenges of scaling autonomous systems and gain actionable insights for implementing agentic AI in a controlled and sustainable way.

Read the complete article: Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy Links to an external site.

2. The visibility mirage: Why AI pilots keep stalling between ambition and impact

This article explores why many AI pilots create the appearance of progress but fail to deliver lasting business impact. It highlights the gap between leadership ambition and operational execution, with challenges such as integration complexity, governance delays and unclear ownership preventing successful scaling. The article argues that visibility into AI activity alone is not enough—organisations must focus on execution, adoption and measurable outcomes to realise value.

As you read, you will learn why AI initiatives often stall after the pilot stage and discover practical strategies for turning promising experiments into scalable and sustainable business solutions

Read the complete article: The visibility mirage: Why AI pilots keep stalling between ambition and impact Links to an external site.