Moving AI beyond productivity and towards operating
model reinvention
The Agentic AI conversation is shifting rapidly. Leaders are no longer asking what they can do with Agentic AI. The real opportunity now is scaling it, governing it, and turning it into measurable business value.
The Agentic AI Transformation Summit brings together the leaders who are making that value real in production — reinventing operating models, transforming workforces, strengthening governance, and driving enterprise-wide adoption at scale.
The pilots are over. It's time to reinvent.
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.
Support Agentic Adoption
Network and discuss the solutions to biggest challenges right now, including, the barriers to large-scale adoption. Shifting cultural mindsets to prepare people for what's to come next.
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.
Our Panel of Expert Agentic AI Speakers
Aaron Washburn
Executive Director, Business Transformation
CME Group
Saurabh Pitkar
Director Product Management, Agentic Commerce
Dell Technologies
Rav Gupta
Head of Global Digital Patient Services
Takeda
Laura Ullrich
Director of Economic Research
Indeed
Sean Sims
Assistant Vice President, Digital Incubator & Applied AI
Unum
David O'Toole
Director, Strategic Program Operations
WWT
Margarita Panzer
Senior Director, Program, Portfolio & Change Readiness
Marathon Petroleum
Kartick Kalaimani
Vice President
Dentsu
Tina Dinger
SVP Director Enterprise-wide Project Management
Mid Penn Bank
Diego de Aragão
Senior Vice President | Balance Sheet Executive Decision Support, Data Analytics
Citi
Habeib Al-Hashimi
Director, PMO - Technology and Digital Transformation
Noble Corporation
Satya Angara
Global Head of AI & Innovation
Brinks Inc.
Robin Patra
Head of Data, Analytics and AI
keeley corporation
Andrew Rozniakowski
Product Architect
Vanguard
Jim Masessa
Emerging Technology Research Strategist
Vanguard
Sajit Joseph
Chief Technology Officer
Risepoint
Nalin Aggarwal
Corporate Vice President, Data Science
New York Life Insurance Company
Mitch Gunnels
Assistant Vice President of Technology - AT&T Business Technology Product Devel
AT&T
Nathaniel Willis
Sr. Director, Product Capability Center | Pfizer Digital & Technology
Pfizer
Rob Jones
CSBB and Wholesale Risk Leader
Truist
Debora Ridner
Lead, IT Transformation and Organizational Change Management
World Bank Group
Elena Gerdjikova
IT Officer, Client Change Management & Learning I – ITSTM
World Bank Group
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
An Easy Guide to the Agentic Transformation Case Studies
Be at the forefront of innovation
Scaling from pilot to production
Enabling agentic AI adoption
Building trust and governance for agentic systems
Testimonials
Report | Agentic AI Governance Made Practical: What Leaders Need to Do Now to Balance Risk, Innovation, and Accountability
As Agentic AI becomes embedded across enterprise workflows, the challenge for leaders has fundamentally shifted. It's no longer about if you use AI; it's about how you stay in control of systems that can act on your behalf.
But here's the real challenge: Most governance models were built for static systems, not autonomous agents that learn, adapt, and make decisions in real time.
This report gives you clear and actionable insights for governing Agentic AI in the real world, helping you shift from reactive compliance to confident, scalable control.
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