Welcome
We are pleased to welcome you to this exclusive TPO33 event on Governing and Managing Enterprise AI Agents at Scale. This gathering is designed for Chief AI Officers and senior AI leaders responsible for transforming AI investments into trusted, scalable enterprise capabilities that deliver measurable business outcomes.
Across industries, organizations are rapidly moving from experimentation with Generative AI towards deploying autonomous AI agents capable of reasoning, planning, and executing work across enterprise processes. While the technology continues to mature, many organizations are now asking a new set of questions: where are AI agents creating real business value, how should they be governed once deployed, and how can they be successfully adopted across the enterprise?
This event focuses on the practical realities of the next stage of enterprise AI maturity. We will explore where organizations are realizing measurable business value from AI agents, how to govern and manage AI agents, models, and analytics within a trusted enterprise environment, and how to successfully operationalize AI agents across business processes to accelerate enterprise transformation.
Through focused presentations, peer roundtables, and interactive discussions, this executive forum will share practical lessons, emerging best practices, and real-world experiences from organizations adopting AI agents across the enterprise.
Join us to exchange insights with fellow AI leaders and explore practical strategies for governing, managing, and operationalizing Enterprise AI Agents to deliver sustainable business value at scale.
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Rasmus Winther Brink
Cluster lead – Agents & Self-service
Scaling AI isn’t just about choosing the right models — it’s about having the right foundation underneath them. In this session, Rasmus Winther Brink will share how strong AI foundations and AI-ready data can turn isolated use cases into scalable capabilities. The presentation will explore how reusable platforms, governed data, shared components and the right operating model can reduce time-to-value, accelerate delivery and make it possible to scale AI safely across an organization.

Faye Murray
Field Chief Data Officer, EMEA
Faye Murray is Field Chief Data Officer, EMEA at Dataiku and a strategic leader in data, AI, and business transformation, with over 15 years of experience driving change across organisations ranging from start-ups to $1B+ enterprises in multiple sectors. She specialises in helping organisations turn AI ambition into execution, delivering measurable outcomes including seven-figure cost savings and strong returns on AI investment. v

Giovanni Leoni
Performance & AI Business Lead, Global Supply Chain
Giovanni Leoni has been active across industries in driving and developing business, organisations, analytics, AI and Responsible AI for 25 years. As an AI Governance Evangelist he has developed, advised and guided organisations in building their AI Governance and Responsible AI capability at scale to enable AI adoption for better business. He has done so in roles as Associate Director Responsible AI at Accenture, Global Head of AI Governance Advisory at Credo AI, Global Head of Algorithm and AI Ethics at Inter IKEA Group and Head of Automation at City of Malmö.
08:00
Registration opens
08:55
Intro to tpo33 – Program and Proceedings
09:00
Business Strategy: Where should we use AI agents? Rasmus Winther Brink – Cluster lead – Agents & Self-service | Danske Bank A/S
09:20
Roundtable Discussions
• Table 1 – Moderated by Rasmus Winther Brink – Cluster lead – Agents & Self-service | Danske Bank A/S
• Table 2 – Moderated by Faye Murray – Field Chief Data Officer, EMEA | Dataiku
• Table 3 – Moderated by Giovanni Leoni – Performance & AI Business Lead, Global Supply Chain | Novo Nordisk
10:05
Operating Agentic AI in the Enterprise: Governance, Monitoring, and ControlFaye Murray – Field Chief Data Officer, EMEA | Dataiku
10:25
Roundtable Discussions
• Table 1 – Moderated by Giovanni Leoni – Performance & AI Business Lead, Global Supply Chain | Novo Nordisk
• Table 2 – Moderated by Rasmus Winther Brink – Cluster lead – Agents & Self-service | Danske Bank A/S
• Table 3 – Moderated by Faye Murray – Field Chief Data Officer, EMEA | Dataiku
11:05
The productivity paradox of AI demands a thoughtful approach to Agentic AIGiovanni Leoni – Performance & AI Business Lead, Global Supply Chain | Novo Nordisk
11:25
Roundtable Discussions
• Table 1 – Moderated by Faye Murray – Field Chief Data Officer, EMEA | Dataiku
• Table 2 – Moderated by Giovanni Leoni – Performance & AI Business Lead, Global Supply Chain | Novo Nordisk
• Table 3 – Moderated by Rasmus Winther Brink – Cluster lead – Agents & Self-service | Danske Bank A/S
12:05
12:20
Co-Host Partners

Who and why should attend?
The CAIO tpo33 is tailor made for every practitioner or organization working with or interested in learning how to maximize the ROI of their AI initiatives and function. The event is created for
Chief AI Officers, CxO’s, or senior AI/DS/ML managers who are leading the AI initiative and strategy in their organization.
Our tpo33 events bring the industry’s best and brightest minds and help delegates:
By attending you will learn how to:



