
Enterprise Wide Search 17: Rachael Greaves - Governance at Scale: Records, Risk, and the Ethics of AI
Enterprise Wide SearchShow Notes
In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Rachael Greaves, CEO of Castlepoint Systems and pioneer of regulation-as-code AI, to unpack why records and information management are more relevant—and more technical—than ever.
Together, they explore: The sometimes overlooked discipline of records management and why it matters in the age of AI.
Why data lifecycle decisions are so hard, and why deletion is sometimes the safest option.
What ethical AI actually means and how to make it explainable and contestable by design.
How Castlepoint uses rules-as-code to govern massive, messy, enterprise-scale datasets.
Rachael’s advice to anyone (especially women) entering regtech, cyber, or data governance.
🎧 Tune in for a conversation that connects the dots between compliance, security, metadata, and meaning—and why AI won't fix your governance mess if your rules aren’t clear.
Hosted on Ausha. See ausha.co/privacy-policy for more information.
More from Enterprise Wide Search
In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Dia Adams, Chief Data & AI Officer, former Principal Data Consultant at the White House, and Board Chair of The AI Table, to explore how AI policy is evolving in the United States and what it means for enterprises.
In this episode, Ole Olesen-Bagneux sits down with Vanessa Andersson, Senior Data Engineer and founder of Data & AI Stockholm, to explore what the rapid evolution of AI looks like from the perspective of a practitioner working directly with it.
In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Ben Mathew, General Manager of Business Intelligence at Actian and former GM of Jaspersoft, to explore how business intelligence is evolving in the age of AI.
In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Mariana Hebborn, Global Head of HR AI & Data Governance at Merck, to explore what it really takes to move AI from experimentation into the enterprise.
In this episode, Ole Olesen-Bagneux sits down with Lulit Tesfaye, Joseph Hilger, and Zach Wahl from Enterprise Knowledge to explore why the future of enterprise AI depends on connecting knowledge, data, and semantics.