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 "battery farm" scaling and instead focus on codifying human expertise into intelligent digital frameworks. Successful firms will likely emerge as platform orchestrators where AI handles the intellectual heavy lifting while humans provide essential judgement, accountability, and trust. Ultimately, boards are encouraged to scrutinise whether they are paying for genuine strategic insight or simply funding inefficient, outdated processes that technology can now handle faster.

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 summaries and the long-term security of stored biometric data. To mitigate these threats, the advice to organisations includes; adding these technologies in their corporate risk registers and conducting thorough audits. Ultimately, leadership must transition from passive notification to active governance to protect individual privacy and ensure data integrity.Taken from article: https://lizhendersondata.wordpress.com/2025/06/15/ai-note-takers-call-recordings-and-gdpr-the-compliance-risk-youre-overlooking/

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 compliance failures, poor resource allocation, and flawed decision-making. To mitigate these risks, the text recommends establishing a clear data strategy and a robust governance framework to guide digital transformation. Ultimately, the source serves as a roadmap for leadership teams to transition from data chaos to measurable strategic outcomes

Taken from article: https://lizhendersondata.wordpress.com/2025/04/15/achieving-data-integrity-in-social-housing-a-roadmap-for-ai-success/