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The Official 2026 Agenda is here!

Across two days, 60 senior AI and data leaders will explore navigating the EU AI Act, operationalising responsible AI, and scaling adoption across the enterprise. From human-centred design and agentic systems to evolving leadership models, the program delivers practical insights for driving compliant, high-impact AI in 2026 and beyond.

At the Agentic AI Summit 2025 in Amsterdam, over 90 senior AI, data, and transformation leaders came together to share how they’re moving from agentic experimentation to enterprise-scale deployment.

This infographic distils the data, lessons, and real-world strategies that matter most to Chief AI Officers and enterprise AI leaders, showing where organisations truly stand in the Age of Agents, what’s working, and what’s still getting in the way.

Download to explore:

• How leading enterprises are deploying AI agents across core functions, from operations to customer service
• The top barriers to scaling, from data quality and governance to integration maturity
• When and where agentic systems are expected to become mainstream
• How leaders are aligning governance, risk, and delivery for responsible scale

As a CAIO, you’re defining how agentic systems reshape your organisation. Use this benchmark to see how your strategy compares, what peers are prioritising, and where to focus next to move from potential to performance.

Download the full insights report now, and lead your enterprise confidently into the Age of Agents.

As regulators tighten accountability and fraud grows more sophisticated, traditional compliance models are no longer enough. This white paper explores how Agentic AI, when designed with governance at its core, enables organizations to move from reactive controls to continuous, defensible risk management.

Using a practical, industry-agnostic use case, the paper demonstrates how governed, autonomous AI agents can monitor transactions, assess third-party risk, generate regulator-ready audit trails, and escalate decisions to humans at the right moment. The result is stronger fraud prevention, reduced personal liability for leaders, and a compliance posture aligned with emerging global regulations. This is not a vision piece. It is a regulator-ready blueprint for modern fraud detection and compliance in the Agentic AI era.

What You’ll Learn:

• Why “reasonable prevention” is becoming a legal expectation, not a best practice
• How Agentic AI differs from traditional automation and rule-based fraud tools
• What a governed Agentic AI architecture looks like in real-world fraud detection
• How autonomous agents collaborate across transactions, vendors, and risk signals
• The role of a governance layer in ensuring explainability, accountability, and auditability
• How Agentic AI reduces false positives while enabling 100% continuous monitoring
• What regulators expect leaders to demonstrate under modern fraud and compliance laws

If you are being asked to do more with less, while facing higher regulatory scrutiny and personal accountability, this paper is for you.

Too often, AI initiatives stall as experiments or one-off projects. But what if you could build AI like a product, with repeatable systems, clear ownership, and measurable outcomes?

In this exclusive interview, Morten Lantow, Head of Enterprise AI at DSV, reveals how his team transformed AI from scattered projects into an Enterprise AI platform that balances governance, speed, and measurable ROI. He shares practical strategies for embedding AI into workflows, operationalising AI at scale, and creating a single source of truth that makes adoption stick.

Download now and learn how to: 

• Scale AI safely and reliably: Build AI Factories that turn models into repeatable, business-ready systems.
• Balance control with agility: Enable decentralised experimentation while enforcing platform-wide governance.
• Deliver real business value: Tie every AI initiative to KPIs, measurable outcomes, and accountable ownership.

Don’t wait, download the full interview now and discover how to turn AI experiments into a predictable, enterprise-wide impact.

As a Chief AI Officer, your mandate is clear: scale AI impact without scaling risk. This report is designed for that exact mandate. It explores how to operationalise Agentic AI at scale, embedding intelligent agents safely, sustainably, and in full alignment with enterprise governance and regulatory expectations.

Inside, you’ll find pragmatic frameworks and leadership guidance to help you navigate the most pressing questions every CAIO faces today:

• How do you scale with control? Learn the governance and AgentOps frameworks that enable speed while maintaining traceability, auditability, and regulatory compliance.
• What does the next-generation AI organization look like? Discover how forward-thinking enterprises are building hybrid roles; AgentOps leads, AI product owners, and governance architects, that connect innovation to accountability.
• How do you future-proof your teams? Get people-first strategies for reskilling, communication, and workforce augmentation that build trust in AI and unlock human–machine collaboration.

Why this matters to you:

• De-risk your scale-up: Understand the new baseline of AI governance demanded by EU and U.S. regulators, and how to meet it without slowing innovation.
• Redesign your AI operating model: See how leading enterprises are evolving from AI Centres of Excellence to distributed ‘AI Factories’ that combine agility with oversight.
• Earn enterprise-wide trust: Build the culture, controls, and communication structures that turn Agentic AI into a catalyst for competitive advantage, not compliance anxiety

Download the report now to get the frameworks, safeguards, and leadership models defining the next generation of AI enterprises.

You know the challenge: AI initiatives start with promise but too often stall as pilots or proof-of-concepts. What if you could skip the guesswork and see exactly how to embed AI into your business to deliver measurable, lasting impact?

In this exclusive interview, Nicki Mørk Bolbroe, Product Director Data Science at Novo Nordisk, shares the strategies he uses to make AI work where it matters most: in the day-to-day operations that drive real ROI.

Download now and discover how to:

• Move beyond experimentation: Turn pilots into scalable AI solutions that deliver measurable business outcomes.
• Balance speed with control: Learn how centralised platforms and decentralised experimentation unlock agility without risk.
• Leverage AI that works: Apply agentic AI to solve practical business problems and accelerate value creation.

Download the full interview now and start turning innovation into results you can see, measure, and scale.

For Chief AI Officers, the promise of Agentic AI is matched only by its risks. Unmonitored autonomy, compliance failures, bias, and agent sprawl can quietly undermine enterprise value if left unchecked.

This fact sheet provides senior AI leaders with a practical playbook for building control into autonomy, balancing innovation with accountability at every level of deployment. Featuring exclusive insights from Edosa Odaro, Advisor, Author, Value Driven Data & AI, and Debasmita Das, Data Science Manager, Mastercard, this guide offers leaders a clear framework for:

• Scaling AI across teams without losing visibility or oversight.
• Meeting regulatory expectations under the EU AI Act, GDPR, and beyond.
• Building guardrails to contain risk, bias, and hallucinations.
• Embedding human oversight and monitoring into every phase of the AI lifecycle.

Autonomy is powerful, but only if leaders control the outcomes. Download the fact sheet and take command of your AI deployment strategy.

As a Chief AI Officer or senior AI leader, you’re navigating one of the most complex leadership transitions of our time, moving from AI exploration to full-scale integration. The challenge isn’t just technical anymore; it’s cultural, operational, and strategic.

In this exclusive interview, Ayser Asif, Head of FCDO.ai, shares practical insights to help you embed AI responsibly into the heart of your organisation. From balancing governance with experimentation to preparing for the rise of agentic AI, this is essential reading for leaders ready to turn AI into a trusted, transformative force.

Download now to learn how to:

• Embed AI into leadership and decision-making, ensuring value and accountability at every level
• Build a governance model that empowers innovation, not one that limits it
• Prepare your teams and culture for autonomy and scale, laying the groundwork for agentic AI

You’re shaping the future of enterprise AI, don’t do it in isolation. Download the full interview now and gain insights that will help you lead with clarity, confidence, and purpose.

If you’re leading AI adoption in your organisation, you already feel the change. AI is no longer a playground for experiments or proofs of concept, it’s a core management discipline that demands structure, measurement, and accountability.

In this exclusive interview, Sašo Pašič, Director of Productivity Enhancement through Digitalisation & AI at Petrol Group, shares how AI leadership is evolving from enthusiasm to enterprise, and what that means for Chief AI Officers and digital leaders steering transformation at scale.

Download to learn more about:

• Move from pilots to performance, embedding AI into critical business processes
• Build a governance model that enables experimentation, not one that blocks it
• Fuse Centres of Excellence with AI Factories, driving both innovation and repeatability
• Create lasting adoption across leadership and the frontline, with trust, training, and transparency

AI leadership is maturing fast. The question is: can your organisation move from exploration to execution? Download the full interview to learn how to institutionalise AI and make a measurable impact on the new standard.