Moving AI beyond productivity as an operating
model reinvention catalyst
The Agentic AI conversation is shifting rapidly. Leaders are no longer asking what they can do with Agentic AI. The real questions now are: How do you scale it? Govern it? And create measurable business value from it?
The Agentic AI Transformation Summit brings together the leaders who are answering those questions in production — tackling governance, operating model redesign, workforce transformation, and enterprise-wide adoption at scale.
The pilots are over. If you are in the progress of making real Agentic work happens, this is where you belong!
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.
MOVING BEYOND PILOT PARALYSIS AND TOWARDS REAL ENTERPRISE VALUE
As economic pressures intensify, organisations are under growing pressure to prove that AI investments deliver measurable business value. Yet many remain stuck in “pilot paralysis”, running isolated experiments that never scale. Success requires more than great technology; it demands the right operating model, governance, data foundations, and ROI framework. In this panel discussion, we’ll explore why AI initiatives stall and how organizations can build the capabilities needed to move from proof of concept to enterprise-wide impact.
- Achieve measurable AI ROI by aligning use cases with strategic business outcomes
- Move successful pilots into production by building the right governance and operating model
- Reduce the risk of fragmented AI adoption through stronger data and technology foundations
SCALING ENTERPRISE AI, SYSTEMS, TEAMS, AND OPERATING MODELS
Enterprise AI leaders face a pivotal challenge: transitioning from isolated use cases to resilient, production-ready AI systems—without disrupting core operations. This panel explores how to architect the right technical foundations, team structures, and cultural shifts needed to operationalize AI at scale. Reimagine business processes with LLMs, agentic workflows, process mining, and automation to enable seamless, end-to-end execution
- Establish clear roles, structures, and ways of working across AI, data, engineering, and business teams to accelerate delivery
- Drive sustained adoption through capability building, effective governance, and cultural change that supports enterprise-wide impact
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
Testimonials
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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