The Unseen Operating Model© Podcast

We outline the critical role of a  data strategy  as a primary driver for  business growth  and operational success. The podcast argues that organisations must transition from viewing information as a technical burden to treating it as a  strategic asset  that informs high-level decision-making. Through real-world examples in retail and insurance, demonstrating how aligning data initiatives with ...

This discussion challenges the traditional notion that  full-time executive roles offer long-term security , citing data that shows senior leadership tenures are rapidly shrinking. She argues that  true professional resilience  is not found in a single salary but in a  diversified portfolio of roles , such as advisory positions and board memberships. By establishing a  reputation outside of a sing...

This podcast serves as a strategic manual designed to help boards and transformation leaders avoid the historical pitfalls of digital change when implementing Artificial Intelligence. The conversation argues that AI success depends on rigorous leadership and operational foundations rather than the technology itself, highlighting the dangers of "Data Debt" and unmanaged processes. By focu...

The critical importance of GDPR Article 22, which protects individuals from significant life decisions made solely by automated algorithms. It explains that companies must ensure meaningful human intervention is available to prevent issues like biased recruitment or unfair financial rejections. Failing to comply can lead to massive regulatory fines, legal challenges, and severe reputational damage...

This podcast highlights elements from the comprehensive book Your Unseen Operating Model by Elizabeth A. Henderson on modern data leadership. Focusing on the hidden inefficiencies that cripple corporate performance. The author argues that most organisations suffer from an  "unseen operating model"  comprised of manual workarounds, shadow spreadsheets, and disconnected systems that she terms  "data...

In this episode we explore the disconnect between boardroom reporting and project reality, specifically regarding data and technology initiatives. Executives and boards often receive misleading "green" status updates because reporting systems prioritise hitting milestones rather than achieving meaningful business outcomes. This systemic issue leads to the "Friction Tax," an inv...

The podcast examines the modern strategic approach to data governance, arguing that persistent technical failures are actually rooted in organisational culture rather than a lack of advanced tools. I suggest that while technology has evolved from index cards to artificial intelligence, businesses continue to struggle because they fail to establish clear human accountability and ownership. AI canno...

Are you tired of data initiatives that stall, remain siloed, or fail to deliver a meaningful ROI? It’s time to stop chasing the "next shiny thing" and start mastering the human fundamentals of data leadership. I am excited to invite you to a special Book Review Discussion and Q&A on June 18th focused on my book, "My View of The Data World: Fresh Perspectives for Driving Strategi...

This discussion argues that rigorous data due diligence is an indispensable component of successful mergers and acquisitions. Highlighting how sellers often present optimistic narratives that can mask significant issues such as inflated revenue, compliance liabilities, and poor data quality. By examining historical failures, the text demonstrates that neglecting to audit internal systems and legac...

This discussion explores a strategic framework for evaluating the return on investment (ROI) of AI agents. It argues that senior leaders must move beyond surface-level automation metrics to examine the  total cost of ownership ,  data maturity , and  economic impact . Key considerations include whether these tools solve genuine business problems or merely create replicable efficiencies that fail t...

Liz argues that the traditional  consultancy business model  is becoming  obsolete  because AI is commoditising tasks like data gathering and basic analysis. Instead of selling human hours and manual labour, future firms must pivot toward an  always-on advisory model  that prioritises  outcome-based pricing  and automated diagnostics. This transition requires companies to move away from "batt...

This episode highlights the significant  regulatory and privacy risks  associated with using  AI note-takers  and recording virtual meetings. This discussion argues that current practices often fail to meet  GDPR standards , specifically regarding  explicit consent  and the right to have personal data erased. Beyond legal compliance, there are growing concerns about the  accuracy of AI-generated s...

This podcast highlights the critical importance of  data integrity  as a foundation for implementing  artificial intelligence  within the  social housing  sector. Arguing that for AI to successfully improve tenant services and operational efficiency, organisations must first ensure their information is  accurate, reliable, and consistent . Without high-quality data, providers risk facing  complian...

The AI Questions Every Board Must Be AskingAI is moving faster than most boards can learn, but good governance can’t afford to lag behind. Boards Are Racing to Build AI CapabilityBoards are taking varied approaches to strengthen their understanding of artificial intelligence. Some are investing in director education, others are bringing in advisory committees or consultants, and many are widening...

The barrier to AI adoption is rarely the technology. It is the weight of uncertainty your people carry every time they hear the word. When a senior leader tells me their AI programme has stalled, I ask one question: what did you tell your team it was for? Nine times out of ten, the answer involves some variation of “efficiency,” “transformation,” or “staying competitive.” All true. All useless. Be...