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AI Governance Starts With Data | James Briers on AI Readiness & Accountability | AI InterConnect AI governance is becoming a critical business issue as organizations move AI from experimentation into real-world operations. In this episode of AI InterConnect, Laurent Cochet speaks with James Briers, CEO of Intelligent Delivery Solutions, about why successful AI starts with trusted data, clear ownership and continuous governance. James shares lessons from decades of experience in data quality, transformation and migration, explaining how poor data can contribute to revenue leakage and why organizations need to understand their processes before deciding where AI can create real value. They discuss: • Why data quality is the foundation of AI readiness • The link between poor data and revenue leakage • Why ownership and accountability matter in AI projects • How organizations can move AI from experimentation into production • Why static governance can struggle to keep pace with evolving AI systems • What signals indicate genuine AI readiness • Why AI governance needs leadership visibility and accountability • The role of governance intelligence in managing AI risk and opportunity James also discusses GovScape and the goal of giving organizations greater visibility into governance, risk, urgency and accountability as AI adoption accelerates. If you're a CEO, founder, technology leader or AI/data professional thinking about how to scale AI responsibly, this conversation offers a practical perspective on the foundations that need to be in place first. Subscribe to AI InterConnect for more conversations with founders and CEOs working at the intersection of AI, technology and business outcomes. Timestamps 00:00 - Introduction to AI InterConnect 00:30 - James Briers and Intelligent Delivery Solutions 01:03 - From Data Transformation to AI Readiness 01:42 - Why Data Quality Matters in Automation 03:03 - Founding IDS and Building a Consultancy 04:18 - Helping Organizations Prepare for AI 05:23 - The Shift Toward AI Governance 06:03 - Where Data Problems Hit Organizations Hardest 06:18 - Data Challenges in the Legal Sector 07:39 - Poor Data and Revenue Leakage 09:15 - Moving AI From Experimentation Into Operations 09:29 - Why Ownership Matters in AI Projects 11:04 - Who Should Own AI Accountability? 12:40 - Building and Scaling IDS 13:10 - The Challenge of AI Noise and Market Awareness 14:02 - Internal Friction Around AI Adoption 14:59 - Educating the Market About AI Governance 16:08 - What Leaders Misunderstand About AI Governance 17:07 - Why Static Governance Falls Behind 18:18 - Keeping Governance Ahead of AI Change 20:02 - What Genuine AI Readiness Looks Like 21:23 - Why GovScape Was Created 23:16 - AI Governance and Board-Level Accountability 24:42 - The Future Vision for IDS and GovScape 26:13 - Accelerating AI Governance Adoption 27:45 - What CEOs Should Do Differently With AI 29:06 - Advice to a Younger Entrepreneur 30:20 - Closing Thoughts on AI, Data and Trust 31:04 - Where to Find James and IDS 32:14 - Closing the Episode RELATED VIDEOS ▶️ https://www.youtube.com/watch?v=Sn2cGnVwL3E ▶️ https://www.youtube.com/watch?v=66Ha-ErQvC8 ▶️https://www.youtube.com/watch?v=mC9QlV3gyc8 Disclaimer: The views and opinions expressed in this podcast are those of the individual speakers and do not necessarily reflect the views of AI InterConnect, its team, or affiliated organizations. The discussion is for informational and educational purposes only and should not be considered professional, legal, financial, or business advice. Viewers should conduct their own research and seek appropriate professional advice before making decisions based on information discussed in this episode. © 2026 AI InterConnect. All rights reserved. This video and its original content, including audio, video, graphics, branding, and editorial material, are the property of AI InterConnect and/or their respective owners. Unauthorized reproduction, redistribution, re-uploading, or commercial use of this content is prohibited without prior written permission. For copyright or content-related inquiries, please contact the AI InterConnect team. #AIGovernance #AIReadiness #DataQuality

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