Workflow

Using AI is no longer the bottleneck. Deploying and operating it with trust at scale is.

In this opening keynote, Tines CEO Eoin Hinchy explores why intelligent workflows matter now and what the next phase of AI demands from leaders and systems.

AI makes building look easy. That's the trap. Without a secure, well-designed foundation, workflows break, costs spike, and systems grow fragile.

CTOs and CISOs from leading organizations discuss how to build AI-powered systems that hold up at scale. This session goes deep on the real-world tradeoffs between speed, risk, and trust.

More AI activity doesn’t always mean more productivity. Casey Newton, co-host of the Hard Fork podcast at The New York Times and founder of Platformer, examines why organizations often see heavy AI usage without corresponding gains.

He’ll explore the promise of AI, why teams fall into AI workslop, and how AI can augment workflows to drive productivity and prosperity.

AI-powered workflows require more than technical setup. They require buy-in, change management, and a clear path to value.

Leaders from workflow-first product companies share practical strategies for securing exec buy-in, managing change across teams, moving workflows into production, and measuring and communicating ROI.

Most teams struggle to move beyond AI pilots to enterprise-wide impact.

Leaders and practitioners from renowned organizations walk through the AI-powered workflows they've put into practice across IT, security, and operations. They unpack the problem they were solving, the workflows they built, and the business results that followed, including efficiency gains, reduced muckwork, and measurable ROI.

The biggest barrier to adoption of Generative AI in organizations is data privacy and security concerns. Securing AI is a complex process that is only growing day by day, from discovery to governance to detection of malicious behavior.

To help manage the growing challenge, Forrester created AEGIS, a framework designed to help teams secure, govern, and manage AI agents and related infrastructure. In this talk, we break down how to ensure least agency, secure intent, and implement continuous risk management for continuous assurance so that AI agents are protected and the business is able to innovate faster.