Pre-Summit Workshop Hotel Check-In

We recommend checking in at New York Marriott Marquis before 12:30 PM to give yourself time to settle in and get oriented ahead of the day’s programming. While there’s no formal check-in window and we understand travel schedules may vary, early arrival is encouraged to ensure a smooth start.

For any questions regarding your stay or early check-in assistance, please contact The Marriott Marquis Hotel front desk directly or connect with our team onsite.

Registration & Networking

Upon arrival between 1:30 PM and 2:00 PM, please proceed directly to our registration area to check in. Simply provide your name and confirmation details at the welcome desk, where you'll receive your event badge and session materials. Once checked in, you’ll have time to meet fellow attendees and orient yourself before sessions begin promptly at 2:00 PM. Our onsite team will be available throughout the registration window to assist with any questions or special requests.

Sovereign AI in the Age of Agents:
Architecture, Control, and the Economics of Autonomy

Sovereign AI has become one of the most discussed concepts in enterprise technology. But what does sovereignty actually mean when your AI systems are autonomous agents? Agents consume tokens at 15-50x the rate of chatbots, make decisions regulators will scrutinize, and interact with your enterprise data in ways most architectures were never designed for. This workshop presents a five-dimension framework for sovereign AI in the agentic context: compute sovereignty, token sovereignty, data sovereignty, decision sovereignty, and operational sovereignty.

Each dimension maps to specific architecture decisions, from right-sizing across the full infrastructure stack to preparing enterprise data for agent-native consumption. Grounded in token economics analysis showing up to 18x cost advantages through infrastructure ownership and real-world deployment architecture from regulated industries, this session gives enterprise leaders a practical framework for maintaining control as agentic AI moves into production environments.

Afternoon Networking Break

Data Readiness for the Agentic Enterprise:
Preparing Your Organization for Agent-Native Operations

The first workshop established the sovereign AI framework for agentic workloads. This second session goes deeper on a dimension that most agentic AI conversations skip entirely: data readiness. AI agents do not consume data the way human analysts or dashboards do. They make tool calls,perform structured extraction, retrieve context across systems, and act on what they find, often in multi-step workflows with no human in the loop. Most enterprise data architectures wer designed for human-driven queries, not agent-driven operations.

This session explores what agent-ready data; looks like: how data structures, metadata, access patterns, and quality standards must evolve as agents become the primary consumers of enterprise information. The parallel to the SEO-to-GEO transition is useful here: web content had to be restructured for AI search engines, and enterprise data faces the same shift. We look at the practical steps regulated enterprises should take now to prepare internal datasets, knowledge bases, and data
governance for an agent-native future.

Executive Roundtable Discussions

Present Your executive roundTables Findings

Arrivals & REGISTRATION

Start your Leaders In AI Summit experience by checking in at the Leaders in AI Summit hosted at the luxurious Marriott Marquee in New York City. Our VIP Registration Team will greet you in the lobby with your VIP badges and a complimentary gift bag. Enjoy artisian coffee, tropical fruit, and pastries while you prepare for an exciting day of insights and exclusive networking.

Opening Remarks

Kick off the summit with opening remarks from Robert Jaggers, CEO of the Institute for AI Transformation, as he introduces the themes and priorities for the day ahead. This brief session will lead into our opening panel, setting the focus for impactful discussions to follow.

THE RACE FOR ENTERPRISE AI:
AGENTS, INFRASTRUCTURE & EXECUTIVE DECISIONS

Artificial intelligence is no longer a future initiative. It is embedded in board-level priorities and capital allocation decisions across global enterprises. The question is no longer whether to invest in AI, but how to scale it in a way that delivers sustained competitive advantage and measurable business impact.
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While adoption has accelerated, enterprise-wide execution remains uneven. Many organizations have proven isolated use cases, yet struggle to translate early momentum into integrated, scalable systems that drive measurable performance. As agentic AI, hybrid architectures, and distributed inferencing reshape enterprise requirements, executive leaders must align governance, infrastructure, and investment strategy to move from experimentation to durable, enterprise-scale capability.

Inference Where it matters:
Running AI Across Banks, Insurers, and the Edge of the Enterprise

AI is no longer defined by how models are trained, but by where and how they are deployed.

As enterprises move from experimentation to real-world impact, inference has become the critical layer driving value across banks, insurers, and edge environments. The challenge is no longer building models, but running them reliably across distributed systems where latency, cost, security, and regulatory constraints all matter. This panel explores what it actually takes to operationalize AI at the edge of the enterprise. From deploying models inside highly regulated environments to balancing performance with infrastructure constraints, leaders will share how they are making AI work where decisions are made in real time.

Opening Networking Break

The Enterprise AI Playbook for 2026:
What Leaders Must Decide, Fund, & Stop Doing

In an era of rapid disruption, organizations that neglect the human dimension of transformation fall behind. This dynamic panel of CXOs will reveal how people-centered approaches ignite progress, unite teams, and reinforce company culture. You’ll uncover practical methods to secure stakeholder buy-in, dismantle resistance, and foster an adaptable mindset that embraces ongoing evolution. Expect candid discussions on real-world success stories, alongside proven frameworks that keep your workforce energized and your organization moving forward.

Lunch Hosted By the
institute for ai transformation

Executive Roundtable Discussions

Present Your executive roundTables Findings

Up next, each roundtable will share their key takeaways with the full audience. Please designate one representative from your table to go on stage and briefly present your group’s findings and discussion highlights.

Afternoon Networking Break

Understanding the True Cost of AI:
Tokens, Compute, and Capacity

As enterprise AI adoption accelerates, many organizations are discovering that the real challenge isn’t experimentation — it’s the economics of scaling. From token usage and inference costs to GPU availability and infrastructure strategy, leaders must understand the financial and operational realities behind AI at scale. This discussion explores how organizations are managing the growing demand for AI while balancing cost, performance, and capacity. Executives will gain practical insight into how companies are forecasting AI workloads, optimizing model usage, and building infrastructure strategies that support sustained AI adoption without runaway costs.

Transforming Healthcare:
From AI Pilots to Clinical-Grade Systems

Healthcare organizations are under pressure to deploy AI at scale while operating in one of the most regulated, data-constrained environments in the enterprise. Leaders are moving past experimentation and asking harder questions: where AI truly improves outcomes, where risk increases, and how systems can be trusted inside clinical and operational workflows.

This panel brings together healthcare data and AI leaders to discuss how organizations are operationalizing AI across care delivery, supply chains, and enterprise operations. The focus is not on future promises, but on what is working today — how leaders are navigating data access, governance, and validation to move AI from pilots into production without compromising safety, compliance, or performance.

Closing Remarks

Cocktail Hour

Intimate Think Tank Dinner - Invite Only