Agenda

When the business demands a return on AI investment and experimentation for its own sake is losing favour, the question becomes where to concentrate. Matthieu Houle shares how ALDO approached that decision, making supply chain the centrepiece of their AI strategy and consciously stepping back from other areas in favour of vendor partners. A peer panel drawn from the room then debates how the same trade-offs apply across their own organizations. Attendees will leave with a clearer basis for deciding where to focus AI investment, and where to rely on partners instead.

Taylor Sivell takes you inside Kraft Heinz's digital transformation and the creation of TasteMaker, an AI-powered innovation and execution platform that allows marketing teams to capture and output their ideas in real time. Incredible team adoption and outputs are the real story of this program. In the workshop that follows, participants will apply the same principles to their own organizations: building from strong data foundations, adopting a product mindset, and sustaining adoption through the messy middle. Attendees will leave with a structured approach to sequencing AI initiatives inside their own organization, and many helpful insights about how to accelerate adoption amongst the wider teams.

Most teams are still building single-agent experiences. The architectural decisions that enable a move to multi-agent environments are made earlier than most teams realise, and some are hard to reverse. Matthew Quarisa from AGNTCY, alongside technical leaders from Wegmans and JC Penney, lead a workshop on the foundations multi-agent environments require: interoperability, identity, communication and observability. Attendees will leave knowing which decisions to prioritise now, which are hardest to undo, and how to evaluate their current stack's readiness for multi-agent adoption.

Most enterprise commerce stacks were built for human buyers clicking through pages. Apurva Parikh walks through how Tapestry is architecting an Agentic Commerce Plane, a strategic layer that connects legacy platforms to emerging protocols like Universal Commerce Protocol, without a full replatform. The Q&A opens the conversation to what this means for your own architecture and where to invest next. Attendees will leave with a working model for what agentic-ready commerce infrastructure looks like, and where to start building toward it.

The agentic AI conversation has focused heavily on what you can build. This session asks who is actually on the other side. A panel of market analysts shares current data on where the agentic consumer is today, what their behaviour looks like, and realistic timelines for adoption. The audience Q&A opens the debate. Attendees will leave with a grounded view of the commercial opportunity and the questions to ask before building for a consumer who may not yet exist at scale.

Without a large technology function, Team Select built CareSight AI, a system that analyses proprietary clinical data to detect early signs of respiratory decline before a crisis occurs. Meghan Willson will walk the audience through this journey - the goal and ambition as well as the process selecting and refining this use case. Following the keynote, engineers from other healthcare enterprises will join Meghan to discuss this endeavour with the audience. Attendees will leave with a set of questions to stress-test their own organization's approach to AI "use-case" selection in high-stakes environments.

There is no single right way to resource Agentic applications, and the gap between in-house integration and vendor-driven deployment is wider than it looks. Leaders from Grocery, Food and Hospitality brands compare approaches, sharing the real trade-offs in speed, control and cost, from deeply integrated builds to faster vendor-driven solutions. Attendees will leave with a clearer sense of which resourcing model fits their organisation's current capabilities and the questions to ask before committing to a direction.

Ramzi Rahbani built AI-guided selling across 1.5 million SKUs and has the hard lessons to prove it. He'll share what AEO and GEO discovery strategies actually require to work at scale, including the ongoing experimentation that most case studies leave out. The workshop brings in Edward Wong and others to work through the same questions with the room, applying the thinking to your own discovery and engagement stack. Attendees will leave with a practical set of tests to run against their current commerce experience.

Our customer keynote walks through an end-to-end AI implementation that delivered transformational change, measurable value, and stack modernization.

Every large organization is working to define its Agentic strategy, but with competing definitions in play the process can quickly lose direction. Dave Stevens holds exactly this brief at Groupe Dynamite. He'll share his working definition, the approach his team is taking, and the change program underway, including where they're still figuring it out. The Q&A brings the room's own experience into the conversation. Attendees will leave with a sharper framework for scoping their own Agentic brief and the questions to answer before committing to a direction.

The idea of a 'future-proof' tech stack is losing its meaning. Engineers who keep learning and adapting are pushing code velocity to levels that can risk destabilizing the entire stack. Isaac shares Klue's experience moving from startup to scaleup: the AI decisions enabled them to truly accelerate, the ones that didn't, and how sustained pressure to move faster is reshaping how they build and scale. Attendees will leave with a grounded view of what engineering speed demands from a technical organisation today, and a few honest lessons from someone still in it.

Composable commerce got you to AI readiness. Readiness doesn't pay the bills. For most commerce teams, incentives are still static, rarely tested and disconnected from live market signals, driving margin erosion without clear attribution. Yann and Marianne will share how Altitude Sports is combining composable commerce, market intelligence and AI to move beyond static loyalty programmes toward continuous incentive optimisation. Attendees will leave with a framework for identifying where AI can drive measurable ROI in incentive decisioning, and what guardrails to put in place before acting.

AI funding cycles are not linear, and programmes built during periods of peak enthusiasm rarely survive a correction unchanged. This workshop works through the governance and risk structures that keep an AI strategy on track when external conditions shift. Participants examine what good oversight looks like at the programme level and map their own exposure to funding volatility. Attendees will leave with a practical set of controls to protect the initiatives that matter most.

Holt Renfrew's AI strategy is live, and it started with a deliberate rule: no project proceeds without criteria tied to improving customer experience or process, with data quality, security and governance built in from the start. Alicia Samuel shares the challenges of building whole-company buy-in and the outcomes that have made the case. A peer panel follows to broaden the conversation. Attendees will leave with a framework for setting AI project criteria that hold up under real scrutiny.

We bring together brilliant minds to create AI solutions that demonstrate the power of collaborative innovation.