Designing, Governing, and Scaling the Agentic Enterprise
for Real Business Value
4-5th November, 2026 | Amsterdam Marriott Hotel
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.
But while the opportunity is clear, the reality is far more complex. Many organisations are being forced back to the drawing board as initiatives fail to scale, held back by fragmented data and ownership, operating models not built for autonomous systems, and challenges driving employee adoption. At the same time, risk is rising: industry forecasts suggest up to 40% of agentic AI initiatives will fail by 2028 due to unclear value, rising costs, and weak governance, with evolving regulation such as the EU AI Act adding further pressure.
The question is no longer whether to adopt agentic AI, it’s how to get it right. The Agentic Transformation Europe Summit is designed to help you do exactly that: benchmark your approach against peers, learn from real-world successes and failures, and build the foundations needed to deliver value at scale.
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
4+
Hours of high-value networking with peers
4+
Experts behind the EU AI Act and ISO/CEN AI standards
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.
2026 Industry Innovators
Conny Ploth
Vice President Global AI Transformation
Santander
Guille Lorbada
Head of New Ways of Working
Repsol S.A.
Marco Eijsackers
Global Head of Tech Strategy & Innovation
ING
Marinus den Breejen
Chief Architect NN International
NN Group
Uday Nair
Head of Digital Solutions & Process Automation - EMEA
Linde
Adri Purkayastha
Group Head AI Technology OpRisk
BNP Paribas
John Hearty
Vice President, AI Governance
Mastercard
Dave Harrison
Global Director of Data & AI Stewardship & Delivery, Mars Wrigley
Mars
Phani Kaligotla
Vice President, Global Product AI & Data Strategy
MasterCard Incorporated
Jordi Escayola
Global Head Advanced Analytics, Artificial Intelligence & Data Science
Sanofi
Mercedes Pantoja
Head of Global Data and AI
Siemens Healthineers
Elena Maran
Committee Member, External Expert Advisor
CEN WG4
Tim Lawless
Digital AI Enablement Lead
E.ON Next
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.
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.
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.
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.
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.
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!
Recaps From Our 2025 Attendees
Follow the Agentic Transformation Summit on LinkedIn
Join the discussions shaping Agentic AI and access exclusive content.
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.
2026 Event Sponsors
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