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.
Understand where AI should sit within your business and who should be leading these transformations for the most effective integration across the whole business.
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.
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.
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.
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.
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
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.