Designing, Governing, and Scaling the Agentic Enterprise
for Real Business Value

Name: The Agentic Transformation Summit
Start: 2026-11-04
End: 2026-11-05

4-5th November, 2026 | Amsterdam Marriott Hotel

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The Reality of Agentic AI: Opportunity, Complexity, and Risk?

Agentic AI is redefining how enterprises operate - how work gets done, how decisions are made, and how value is created. With the potential to drive 30–50% efficiency gains and unlock new revenue streams, it represents a defining shift in enterprise technology that will shape the competitive landscape of the next decade.

The opportunity is clear — but the reality is far more complex. Many organisations are stalling as pilots fail to scale, blocked by fragmented data, unclear ownership, outdated operating models, and slow adoption. And the risk is rising: up to 40% of agentic AI initiatives could fail by 2028 amid unclear value, rising costs, weak governance, and tightening regulation like the EU AI Act.

The question isn’t whether to adopt agentic AI — it’s how to get it right. The Agentic Transformation Europe Summit is built to help you do exactly that: benchmark your approach, learn from real‑world wins and failures, and strengthen the foundations needed to deliver value at scale.

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What Powers This Summit

200+

Senior AI, data, and transformation leaders

40+

Expert speakers sharing real-world experience

14+

Practitioner-led case studies focused on practical use cases and execution frameworks

Hours of high-value networking with peers

Experts behind the EU AI Act and ISO/CEN AI standards

2026 Industry Innovators

Conny Ploth

Vice President Global AI Transformation

Santander

Jordi Escayola

Global Head Advanced Analytics, Artificial Intelligence & Data Science

Sanofi

Fabrizio Antonelli

VP, Head of Data and AI

SWAROVSKI

Ibrar Ulhaq

Digital Portfolio and Transformation Director

Aritra Chakravarty

Group Head of Agentic AI

Lloyds Banking Group

Tim Lawless

Digital AI Enablement Lead

E.ON Next

Elena Maran

Committee Member, External Expert Advisor

CEN WG4

Mercedes Pantoja

Head of Global Data and AI

Siemens Healthineers

Phani Kaligotla

Vice President, Global Product AI & Data Strategy

MasterCard Incorporated

Guille Lorbada

Head of New Ways of Working

Repsol S.A.

Dave Harrison

Global Director of Data & AI Stewardship & Delivery, Mars Wrigley

Mars

John Hearty

Vice President, AI Governance

Mastercard

Adri Purkayastha

Group Head AI Technology OpRisk

BNP Paribas

Uday Nair

Head of Digital Solutions & Process Automation - EMEA

Linde

Marinus den Breejen

Chief Architect NN International

NN Group

Marco Eijsackers

Global Head of Tech Strategy & Innovation

ING

Faustino Fernandez Mendoza

Vice President – Investment Platforms & AI Transformation

Allianz Group

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The 4 Pillars of Agentic Transformation Success

Build the Agentic Enterprise

Agentic AI demands a fundamental rethink of enterprise architecture, operating models, and, critically, data foundations. Learn how to build data-centric organisations with unified, governed data, enabling real-time decision-making, scalable agentic systems, and effective human–agent collaboration.

Govern with Confidence

As systems move from advisory to autonomous, the stakes around trust, accountability, and compliance increase significantly. Discover how to embed governance by design, ensuring control, transparency, and alignment with evolving regulation such as the EU AI Act.

Scale the Right Use Cases

Agentic AI introduces powerful capabilities, but without discipline, organisations risk building innovative, costly solutions in search of a problem. Learn how to identify, prioritise, and scale high-impact use cases grounded in real business needs and designed for enterprise-wide impact.

Define, Track & Articulate ROI

Even with the right use cases, many organisations struggle to measure what agentic AI is actually delivering. Learn how to define, measure, and communicate business value, building robust frameworks and metrics to track performance, optimise outcomes, and articulate ROI at a board level.

MAKE SURE TO REGISTER BEFORE FRIDAY, 26th June

Secure an early pass and save € 1000!

Who Attends the Agentic Transformation Summit?

Enterprise AI, Data & Digital Leaders

Driving AI strategy and transformation at scale
Chief AI Officers, Chief Data Officers, Heads of AI, and Digital Leaders responsible for embedding agentic AI across the enterprise and delivering measurable business value.

Technology, Platforms & Solution Providers

Building and enabling the agentic enterprise
Leaders across cloud, data platforms, AI infrastructure, agentic frameworks, and systems integration, including consultancies and technology providers enabling scalable, secure, and production-ready AI systems.

Governance, Risk & Responsible AI Leaders

Ensuring trust, compliance, and control in autonomous systems
Leaders in AI governance, risk, legal, and compliance designing frameworks, guardrails, and operating models for responsible agentic AI adoption.

Policy & Standards Leaders

Shaping the frameworks defining the future of AI
Regulators, standards bodies, and policy experts contributing to the EU AI Act, ISO, and CEN, bringing clarity to evolving regulatory and standards landscapes.

INSIGHTS FROM OUR AGENTIC TRANSFORMATION COMMUNITY

Most enterprises are still piloting agents - just 5% have scaled to true multi‑agent deployment

Ahead of the Agentic Transformation Summit, we surveyed enterprise leaders to understand how far organisations have really progressed with intelligent agents and what is holding large‑scale deployment back.

While experimentation is widespread, the findings reveal a clear execution gap. Over half of enterprises are still only piloting a small number of agents, and only 5% have reached true multi‑agent deployment across end‑to‑end processes.

Enthusiasm for agentic systems is high, but organisational readiness continues to lag behind. At the heart of this challenge is data readiness: 31% of organisations cite poor data quality as the biggest barrier to agentic adoption, ahead of cost, infrastructure, or tooling.

Gaps in AI fluency and operating model maturity continue to compound this issue, limiting organisations’ ability to operationalise agents at scale. Together, these challenges are defining who is able to move beyond isolated use cases and who is struggling to translate agentic potential into enterprise‑wide impact.

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WHO ATTENDED IN 2025?

Asahi Europe
AstraZeneca
Barclays Corporate Investment Bank
Bloomberg
BP
BT Group
Google
Heineken International
IKEA
Johnson & Johnson
JP Morgan
LinkedIn
Mastercard
Michelin
NHS
Orange
Philips
Procter & Gamble
UNICEF
Siemens Healthineers

Key Themes for 2026

Architecture & Operating Model: Building the Agentic Enterprise

Agentic AI is not just a technology shift, it requires a fundamental rethink of enterprise architecture, data foundations, and operating models. Legacy data environments, siloed teams, and rigid governance structures are not designed to support real-time, autonomous systems.

At the same time, organisations are navigating a broader transformation in how work gets done. As roles across data, engineering, product, and operations begin to converge, new capabilities—and new ways of working—are required to design, deploy, and manage agentic systems effectively. This shift also raises critical questions around organisational culture, human–agent collaboration, and the responsible use of increasingly autonomous technologies.

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Trust & Governance: Enabling Responsible Autonomy in Regulated Environments

As AI systems move from advisory to autonomous execution, the stakes around trust, accountability, and compliance increase significantly. Existing governance frameworks (largely designed for static models) are often insufficient for dynamic, decision-making agents operating in real time.
Organisations must navigate increasing regulatory scrutiny, including frameworks such as the EU AI Act, while ensuring systems are auditable, explainable, and aligned with business and legal constraints.

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From Business Need to Enterprise Impact: Defining and Scaling Agentic Use Cases

Many AI initiatives fail not because of poor technology, but because they are not anchored in clearly defined business needs. Agentic AI introduces powerful new capabilities, but without disciplined use case selection, organisations risk building solutions in search of a problem.

The challenge is not just identifying opportunities but defining what “good” looks like across different functions, where success criteria, KPIs, and constraints vary significantly between areas like finance, sales, operations, and risk.

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Defining, Measuring, Articulating, and Tracking Business Value & ROI

Even with the right use cases in place, many organisations struggle to consistently measure what agentic AI is actually delivering. Business value is often diffuse, spanning efficiency gains, revenue uplift, risk reduction, and strategic advantage, while ROI captures only part of the picture.

The real challenge lies in building robust frameworks to track performance over time, attribute outcomes to AI systems, and separate signal from noise in complex, dynamic environments.

View Key Sessions

RECAP 2025

2025 Post Show Report

The inaugural Agentic AI Summit in Amsterdam this October brought together 175+ global leaders to explore how intelligent agents will redefine organisational structures, decision-making, and value creation. Over two days, attendees engaged in keynotes, panels, and roundtables tackling the ethical, technical, and cultural dimensions of agentic AI.

Download the report now to view session highlights, attendee testimonials, audience insights, and more!

The 2025 Post Show Report

The 2026 Attendee List

In 2025, 175+ AI leaders joined us in Amsterdam to. Join a growing community of thought leaders and innovators from some of the world’s most influential organisations in 2026.

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Recaps From Our 2025 Attendees

If you are in any way interested in the topic of agentic AI and how increasingly autonomous AI systems are impacting the world of work from both a technology perspective, strategy perspective or a governance perspective, then I wouldn’t think twice before attending

AstraZeneca

Head of enterprise AI governance

The event has been absolutely incredible, with sessions across the entire spectrum, exploring what Agentic AI really means for the world as we see it today

Chief Data Analytics & Privacy Officer

Having spent years helping organisations bridge the gap between AI potential and business reality, I’ve learned that the most valuable conversations happen when technical possibility meets strategic necessity. This conference brings together the right mix of technical innovators, business leaders, and strategic thinkers to have those conversations.

Tawuniya

Chief Data and Analytics & Privacy Officer

Very refreshing event and got to meet leaders highlighting not only their success but also the massive challenges enterprises generally face.

Oriola

Head of Data, Analytics and AI

A really interesting group of people from attendees’ perspective, with different perspectives, allowing you to feel the key themes and priorities across the industry.

IHG Hotels & Resorts

Global Digital Director

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5 Reasons Why Industry Leaders Are Heading
to the Agentic Transformation Summit

Discover how to leverage AI and automation to empower employees, enhance efficiency, and drive meaningful value—not just tick boxes.

Bridge the gap between agentic AI innovation and enterprise rollout/real business impact

Co-located with the well-established Business Transformation Europe Summit, this event creates a unique hub uniting AI, data, and digital leaders with transformation and change executives, ensuring conversations go beyond technology to address what’s truly required for successful agentic enterprise rollout at a cultural and structural level.

Deep-dive into back-office use cases where the greatest value is being realised

With a core focus on back-office transformation, the agenda zeroes in on the functions where many organisations are seeing the most immediate and measurable impact from agentic AI across operations, finance, compliance, and more.

Access real-world execution from those delivering results

With 90% practitioner speakers, this is where leaders share what’s actually working - commercial outcomes, deployment challenges, and lessons learned from scaling agentic AI.

Benchmark against the industries setting the pace

Deep-dive into sector-specific strategies across Financial Services & Banking, Pharma, Retail & CPG, and Oil & Gas / Heavy Industry where adoption is most advanced and competitive pressure is highest.

Master both sides of the equation: Governance and ROI

Equip both governance leaders and commercial owners with the frameworks needed to deploy agentic AI safely, meet regulatory demands, and prove tangible ROI at scale.