What happens when the very skills we once called “uniquely human”, creativity, reasoning, judgment, are absorbed by machines? Over the 27 years of the Business Transformation World Summit, we have witnessed once-human processes turn automatic, and every time we divert that once-locked-human potential toward greater value and move on to the next process. But what if what we have seen over the last few years is different?
In 2025, another foundation of presumed-human value has been stripped away, menial decision-making is disappearing before our eyes, with Agentic models appearing in the market all over 2025. New applications are being discovered every day, with organizations needing to transform their people and processes to keep up with the latest opportunities that agentic AI offers.
AI and Data leaders bring the technical expertise, while Transformation leaders contribute crucial change management & people skills. This Summit unites these essential strengths to create an Agentic AI catalyst, fostering cross-functional collaboration for business success and last transformation.
Why Should You Attend The Agentic AI Summit?
AI Implementation
Understand where AI should sit within your business and who should be leading these transformations for the most effective integration across the whole business.
Real-World Case Studies
Hear best-in-class case studies of Agentic AI at the largest enterprises in the US and understand the real-world applications of agentic in 2026.
Revolutionize AI
Network and discuss the biggest challenges right now, including, governance structures, ethical AI and the opportunities AI is creating for enterprise transformation.
Building your AI teams
Build bridges between the technical and non-technical divide of AI leadership. Uncover the skills & capabilities needed for your AI teams to thrive.
Be at the forefront of innovation
Maximize ROI Finding the business context for agentic AI in order to maximize ROI
Upskilling Leading a company-wide AI comprehension, education and skills development strategy
Strategy Creating robust foundations to enable enterprise AI strategy and ambitions
Case Study - Deploying Agentic AI Where It Counts - Lessons From Zendesk's Early Wins
At Zendesk, early use cases of Agentic AI implementations spanning customer support, programming, go-to-market operations, and procurement assistants. While still in the early stages, these agentic systems are evolving rapidly, hinting at massive enterprise potential. This case study looks at how Zendesk is testing and scaling agentic AI to reduce friction, automate high-effort tasks, and drive strategic efficiency across teams. Learn what’s working, what’s still experimental, and how to prepare for what’s next.
Case Study: Driving Global AI Adoption At Scale - Building Strategy, Governance, And Enablement
Organizations face the challenge of adopting AI responsibly across complex enterprises while avoiding fragmented efforts and tech risks. Specific challenges include establishing cross-functional governance, ensuring data privacy and security, and building employee literacy. This case study unveils how to create an integrated AI strategy that balances innovation with oversight, driving cultural change and enabling associates to contribute to AI adoption confidently.
Case Study - Controlling The Uncontrollable: Minimizing Risk In The Age Of Autonomous AI
As agentic AI systems make more autonomous decisions, the risks multiply, from bias and misinformation to regulatory breaches. Most organizations are unprepared for the governance this demands, which is holding back the speed of adoption. This case study unpacks the risk management landscape, ethical dilemmas, and controls needed to deploy agentic AI responsibly.
Last year’s summit offered unmatched value, from visionary talks to practical
breakout sessions. This year, I’m sharing how we balance stability, agility, and long-
term performance, with a transformation that’s scalable, sustainable, and outcome-
driven. We’re also advancing AI across our organization, guided by a strategic
roadmap.
Jon Ncols
Associate Director, Business Planning Center of Excellence, Clorox
It's an opportunity to exchange thoughts and things which we struggle with together. It's an opportunity to get new thoughts from different industries, which is usually very difficult when in our day to day business.
Kamil Chudziński
Head of Digital Transformation, Poland, PepsiCo
What excites me about this summit is that it is not just about showcasing the latest AI tools, but it is also about tackling the real-world challenges of adoption and impact. I am looking forward to conversations on balancing speed with responsibility and scaling AI in ways that are ethical, sustainable, and tied to real business outcomes. Most of all, I want to exchange real-world lessons with peers on what makes AI adoption succeed and deliver lasting value.
Kartick Kalaimani
VP, Global Contract to Cash Value Stream Lead
We are in a profound transformation, one that’s reshaping processes, business
models, and the workforce, faster and more impactfully than ever before. This pace of
change brings incredible opportunities, along with significant challenges.
The summit comes at the perfect time, as leaders are actively shaping their AI
strategies. It provides a unique forum to exchange insights into what works, what
doesn’t, and how to navigate the complexity of AI-driven transformation. Bringing
together peers with enterprise-level, first-hand experience who are leading large-scale
Data and AI initiatives across functions promotes thought leadership on strategy,
transformation, and impact.
Eran Nevo
Senior Director, Data & AI, Teva Pharmaceutical
Scale Agentic AI
As a transformation leader, you’re under pressure to deliver innovation, prove ROI, and keep your enterprise safe. This report is designed to help you strike that balance. You’ll get practical guidance on the decisions that determine whether Agentic AI strengthens your business or puts it at risk. For leaders who want Agentic AI to deliver measurable value without compromising trust, this is your next step.
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