This session explores how intelligent agents can interact, negotiate, and execute decisions in real time, reducing manual intervention and enhancing agility. We’ll dive into the technical architecture for enabling agentic interoperability using SAP Business Technology Platform (BTP) and SAP Joule, alongside non-SAP agents and platforms. You’ll learn how to design secure APIs, event-driven microservices, and shared data contracts that facilitate seamless cross-agent communication across organizational boundaries. Key topics include multi-agent orchestration, reinforcement learning for decision alignment, and governance frameworks that ensure trust, auditability, and human oversight. Real-world use cases span from autonomous planning agents to cross-system negotiation and dynamic resource allocation—demonstrating how agentic ecosystems can enable agility at scale across any enterprise domain.

You will: 

• Understand the architecture and principles of Agentic A2A across SAP and non-SAP systems.
• Learn how to leverage A2A to enable autonomous agent collaboration.
• Explore event-driven and API-based frameworks for scalable, interoperable for communication.
• Examine governance, security, and audit models for multi-agent decision-making and oversight.

As organizations pivot toward becoming "intelligent enterprises," Enterprise Architects are at the forefront of AI-driven transformation. This session addresses the challenge of integrating AI capabilities—not as isolated features, but as foundational elements—across the enterprise technology stack to create truly adaptive and responsive business environments. You’ll learn how to embed AI across architecture layers using SAP tools like Joule, Knowledge Graphs, and Business AI — enabling adaptive, intelligent enterprises ready for the next wave of innovation.

Learn how to:

• Embed AI across enterprise layers using SAP tools.
• Develop resilient, flexible architectural blueprints that accommodate continuous AI innovation and future technological shifts.
• See real-world use cases driving AI-first transformation.

As AI becomes increasingly embedded in SAP landscapes, it becomes essential to understand where different Joule capabilities apply across application development, extensibility, and automation, including how responsibilities shift across teams. 

Attend this session to: 

• Distinguish between Joule for Developers and Joule Studio, including differences in purpose, timing, and ownership across development and extensibility scenarios.
• Understand how Joule for Developers is embedded into tools such as SAP Build and ABAP Cloud to accelerate design-time development tasks without changing application architecture.
• Examine how Joule Studio enables SAP teams to create, structure, and govern AI-powered skills and agents that execute business actions across SAP and non-SAP systems.
• Identify which roles and use cases are best suited for development.

Still manually entering data into SAP systems? It’s time to let AI take over. This interactive session explores how AI-powered automation can convert complex, human-readable documents into structured data ready for SAP, eliminating the need for manual input across key business areas such as finance, supply chain, and compliance. 

In this session, you will:

• Gain insights into how to start small, scale effectively, and identify high-impact use cases that make AI adoption practical and valuable.
• Understand how AI can automate manual data entry tasks across SAP processes by transforming complex documents into structured, system-ready data.
• Explore real-world examples of AI-driven automation in global trade, finance, and customer service operations using SAP BTP.
• Discuss strategies to implement a flexible, scalable framework that works with ECC, SAP S/4HANA, GTS, and third-party systems without requiring RISE.
• Discover a practical approach to AI adoption, starting with a single use case and expanding based on ROI and operational impact.
• Examine technical requirements, integration options, and best practices for maintaining high data accuracy and compliance in automated workflows.

As SAP landscapes evolve with more frequent updates, cloud services, and SAP S/4HANA innovations, traditional testing approaches often struggle to keep pace. Test automation is no longer optional; it is foundational to protecting business continuity, reducing risk, and enabling faster, more confident change. This session explores what has changed in SAP testing and what actually works today, using AI-powered test automation as a practical enabler—not a buzzword. 

Attendees will examine key capabilities from Worksoft Connective Automation Platform 2026 in the context of proven SAP quality strategies and come away with:

• An understanding of how modern automation approaches support resilient test design, smarter execution, and sustainable maintenance across complex SAP business processes.
• Clear, actionable guidance for integrating automation into your SAP delivery pipeline.
• Actionable guidance to reduce test debt and scale testing with confidence as change accelerates.

Learn how Team Liquid is unlocking AI-driven analytics using SAP Business AI on SAP BTP with SAP AI Core and SAP HANA Cloud to support real-time competitive decision-making. Understand how large volumes of historical match data are used to train models, creating a scalable foundation for AI-driven insight generation. Explore how Team Liquid designed AI agents in Joule that translate natural-language questions into repeatable analytical workflows across historical match data. Gain insight into the company's plans to extend Joule-based AI agents and what this reveals about scaling AI use cases beyond initial deployments.

As American Industrial Transport (AITX) evaluated its path to the cloud, leadership needed a clear, data-backed way to assess options and justify a potential move forward. In this session, learn how AITX used SAP Signavio process intelligence and AI-driven analysis to uncover inefficiencies, quantify value opportunities, and replace assumptions with objective insight. Hear how those findings were translated into a business case that aligned stakeholders, prioritized investments, and supported informed decision-making around cloud ERP and RISE with SAP. Attendees will come away with practical guidance for using process data to evaluate cloud transformation options and structure more effective executive-level discussions.

This session explores how KPMG leverages SAP Joule for Consultants to improve execution and accelerate outcomes across cloud transformation initiatives.

Attendees will get practical lessons and field-tested guidance to:

• Optimize resource utilization by reducing time spent on repetitive delivery work and improving focus on higher-value program activities.
• Improve execution predictability and cross-team coordination by embedding AI support directly into transformation workflows.
• Identify where Joule can deliver the greatest speed-to-value impact across cloud transformation initiatives.

This session offers guided instruction on using AI to improve task efficiency and reduce user friction in SAP Fiori apps, focusing on everyday user interactions and workflows. By attending, you will explore how AI can simplify information access, guide users through core tasks, and support faster, more confident decision-making in scenarios such as My Home. 

Attendees will: 

• Understand how AI can be applied within SAP Fiori apps to reduce user friction and improve task efficiency.
• Explore practical ways AI supports information discovery, workflow guidance, and day-to-day decision-making.
• Learn design principles for using AI to improve usability and accelerate user onboarding.

Agentic systems are taking on tasks from cash positioning to FX execution. Hear how MassMutual and RSM are applying supervised autonomy in treasury: where it worked, where humans must stay in the loop, and what measurable outcomes they’re tracking. Discover how to vet, validate, and continuously supervise these agents: what to automate, what to escalate, and how to prove outcomes are explainable and reversible. You’ll leave with a playbook for safe autonomy in finance.

You will learn how to:

• Identify which treasury activities are ready for agentic autonomy (cash positioning, FX workflows, exception handling) versus which should remain human-controlled and define clear escalation triggers.
• Apply a practical validation and supervision framework to continuously monitor agent performance, manage drift, and ensure every recommendation and action are explainable and reversible.
• Establish the governance controls required to operationalize agentic AI in finance—policy guardrails, approval workflows, and audit-ready evidence—so automation scales safely across the organization.

AI is everywhere, including your SAP solutions.  Line of Business leaders are under pressure to deliver business results and leverage AI.  Hear from customers who have implemented unique and innovative AI business use cases including Embedded AI in SAP Cloud solutions, and custom AI use cases leveraging BTP.  This session will be informative for organizations that are moving forward with SAP AI, deciding on their SAP AI strategy, or even live with a few SAP AI use cases and looking for what’s next for their innovation journey. 

Questions this session can help answer include:

• How did these customers work with their business to identify AI use cases?
• What were the immediate benefits from their innovative implementation?
• What best practices were considered as part of their program?
• What’s next on these customers’ innovation road maps?

This session examines how to use SAP AI Core and SAP BTP to enhance analytics and intelligence across an SAP S/4HANA landscape, with a practical walkthrough of building and operationalizing machine learning models on SAP data.

Key learning objectives: 

• Build and operationalize machine learning models using Python and R on SAP HANA data.
• Use SAP AI Core to manage, deploy, and run models within an SAP BTP environment.
• Integrate machine learning outputs into SAP S/4HANA workflows to support intelligent automation.
• Apply analytics-driven insights to improve decision-making and enable continuous improvement across business processes.

This session examines how SAP Integration Suite fits into the broader SAP architecture as an enabler for AI-driven innovation, particularly in landscapes where data timeliness and connectivity directly influence business outcomes.

Attendees will:

• Understand how SAP Integration Suite enables reliable access to business data required for AI-driven use cases.
• Examine how data latency, connectivity models, and execution choices affect the quality and responsiveness of AI outcomes.
• Review practical scenarios that demonstrate how integration design decisions influence intelligent automation and real-time insights.
• Learn how to design SAP Integration Suite–based integration approaches that support scalable AI initiatives while maintaining control and simplicity across SAP environments.

LINKS TO PREREGISTER FOR THE HANDS-ON LABS WILL BE SENT TO ALL CONFERENCE REGISTRANTS VIA EMAIL 6 WEEKS PRIOR

This lab teaches participants how to use Joule Studio to turn application logic, services, and workflows into AI-powered capabilities that execute structured business actions. 

Attendees will learn how to: 

• Build a custom Joule skill in Joule Studio by packaging application logic, services, and workflows into a working business action.
• Configure and test a Joule agent and determine when agent-based execution is appropriate compared to a skill.
• Apply grounding, input controls, and execution constraints to produce consistent, predictable results.
• Connect skills and agents to SAP and non-SAP systems to execute an end-to-end business scenario.

LINKS TO PREREGISTER FOR THE HANDS-ON LABS WILL BE SENT TO ALL CONFERENCE REGISTRANTS VIA EMAIL 6 WEEKS PRIOR

As SAP application development teams modernize their landscapes, productivity, quality, and extensibility must improve without compromising clean-core principles. 
In this hands-on lab, participants will work in ABAP Cloud and SAP Build using Joule for Developers and: 

• Review existing code logic using Joule for Developers.
• Generate extension logic using Joule for Developers while maintaining clean-core principles.
• Use Joule for Developers in SAP Build to assist with application and automation logic creation.
• Improve code quality with AI assistance.
• Identify where AI meaningfully boosts developer productivity and where engineering judgment remains essential.

As organizations look to expand SAP business value with AI, many struggle to balance innovation with clean-core integrity, governance, and operational risk. This session introduces a side-by-side architecture enabled by the Red Hat–SAP partnership that allows AI capabilities to run alongside SAP, delivering real-time, governed outcomes without modifying the ERP core.

Attendees will:

• Understand how a side-by-side architecture enables organizations to protect the SAP core while accelerating AI innovation.
• Examine how distributed, safe AI execution can be operationalized across environments while remaining connected to SAP business processes.
• Learn how event-driven integration, rather than custom code, allows AI insights to flow into SAP workflows without modifying the ERP core.
• Explore how centralized governance supports explainable, compliant AI outcomes while enabling scalable, mission-critical adoption.

Despite years of investment in SAP-led digital supply chains, many organizations continue to operate in fragmented, reactionary modes, with planners constrained by disconnected data, manual intervention, and delayed responses to disruption. In this session, KPMG explores how it is helping clients shift from human-initiated, system-supported decision-making to AI-initiated, human-supervised orchestration using SAP-native capabilities.

Attendees will:

• Understand the architecture and governance model for deploying agentic AI across SAP environments, including the role of human oversight.
• Learn how to embed autonomous agents into SAP S/4HANA and SAP Business Technology Platform to support real-time supply chain orchestration.
• See how to shift from manual firefighting to AI-initiated, human-supervised decision-making within SAP supply chain processes.
• Step through a consumer goods case study to see how AI agents monitored inbound risk, forecast deviations, and production performance, cutting planning cycle time by 50% and improving fulfillment KPIs.

This session provides practical guidance for leveraging AI capabilities in SAP Business Suite to drive automation across finance, supply chain, HR, and customer operations. 

Attendees will: 

• Step through examples of how machine learning, natural language interfaces, and predictive analytics can be layered onto existing SAP landscapes, even before a full migration to SAP Cloud ERP.
• Understand how AI augments traditional SAP workflows by uncovering patterns hidden in transactional data and proactively recommending actions to improve business outcomes.
• Gain actionable guidance and next steps to start adopting AI within your existing SAP ecosystem—balancing innovation with stability while preparing for a future-ready intelligent enterprise.

See firsthand how Joule supports faster, smarter work across the SAP portfolio through a series of live demos that show generative AI in action across everyday business scenarios.

Attendees will learn how to:

• Use Joule to navigate data, trigger actions, and streamline common tasks across SAP applications.
• Apply Joule capabilities to accelerate day-to-day workflows in practical business scenarios.
• Get started with Joule using a clear activation and adoption approach.
• Account for required skills, governance considerations, and value drivers when deploying Joule in an SAP environment.

The difference between isolated pilots and sustainable AI at scale lies in the foundational architecture that supports data, governance, platforms, and operating models. In this deep-dive session, we explore how to architect an AI-enabled organization, with practical, hands-on architecture design. The session will begin with a concise overview of AI foundations, covering key AI building blocks such as model lifecycles, inference patterns, orchestration, observability, and responsible AI considerations. We then dive into key data concepts like modern data platforms, data products, metadata, data quality, lineage, and governance patterns required to reliably fuel AI workloads. Finally, the we’ll break into small groups to work through a real-world AI and Data architecture use case, using a provided case study and architecture toolkit. Each group will design a fit-for-purpose target architecture, making trade-offs across data platforms, AI services, integration patterns, governance, and scalability.

Key Takeaways:

• Understand the core architectural foundations required to operationalize AI at scale.
• Understand how data architecture and AI architecture must evolve together.
• Gain hands-on experience designing an enterprise-grade AI + Data architecture.

This session examines what it takes to move AI from early prototypes through pilots and into scalable, measurable business value across SAP environments. Attendees will learn how organizations assess which early ideas are worth advancing, sequence AI initiatives as maturity increases, and establish clear ownership as solutions move into live operations. Explore where organizations are seeing the strongest returns today, what differentiates high-impact initiatives from stalled efforts, and how adoption, trust, and governance shape AI outcomes at each stage. Gain practical insight into applying guardrails, managing risk as AI scales, and building the business case for continued investment using results that resonate with both technical and business stakeholders. Walk away with a clearer, end-to-end understanding of how to progress AI initiatives from experimentation to sustained enterprise value.

SAP Joule is quickly becoming a core part of SAP’s AI strategy, yet many customers remain unclear on what Joule is designed to do, where it fits within the SAP landscape, and which teams it is intended to support. The session examines where Joule is embedded across SAP applications today, how it supports insight and action without replacing existing tools or roles, and how platform capabilities on SAP BTP enable extension, control, and governance. Attendees will get a clear understanding of who Joule is for, what it enables out of the box, what requires deeper technical engagement, and how to evaluate its relevance for their organization.

Learn how to: 

• Define what SAP Joule does and does not do, including how it differs from analytics tools, workflow engines, and traditional automation.
• Identify which Joule components are relevant to business users, IT teams, developers, and consultants.
• Differentiate how embedded Joule experiences, Joule for Developers, and Joule Studio are used in practice based on role, responsibility, and depth of engagement.
• Evaluate where SAP BTP capabilities, including extensibility and orchestration, become necessary to move beyond standard Joule usage.

Attend this session to understand where AI fits within SAP’s product portfolio and how to apply AI-enabled and generative capabilities embedded in SAP cloud applications in a practical, actionable way.

By attending, you will learn how to:

• Identify AI-enabled and generative capabilities available across SAP cloud applications.
• Understand how current capabilities and upcoming innovations influence process design, integration strategies, and skills requirements.
• Evaluate and prioritize AI use cases aligned to business outcomes.
• Prepare the SAP landscape and structure an adoption approach to move AI initiatives from exploration to measurable value.

This session provides an overview of the functional, technical, and user experience enhancements delivered in SAP S/4HANA Cloud 2508 and how they fit into SAP’s broader cloud ERP innovation roadmap.

Attend this session to:

• View demos of the latest advancements around user experience, integration, embedded AI, and more.
• Gain practical guidance on how to prepare for adoption, including upgrade readiness tips and tools.
• Understand how recent innovations support process standardization, automation, and cloud adoption goals.
• Gain awareness of forward-looking innovation themes to inform near-term planning.

SAP Business Data Cloud provides the trusted data foundation required for enterprise AI. In this session, you’ll learn how SAP brings together governed data products, the SAP Knowledge Graph, and SAP Databricks to enable AI use cases for end-to-end business processes.

Delve into the SAP BTP services available to build custom AI agents and AI-powered applications using enterprise business data, from platform capabilities to activation paths and typical usage patterns.

By attending this session, you will learn how to: 

• Use SAP BTP services to enable agents and intelligent application behavior.
• Ground AI scenarios in SAP business data using SAP HANA Cloud and SAP Datasphere.
• Determine when to use Joule Studio, SAP AI Core, and supporting BTP services.
• Position AI capabilities within a broader SAP BTP strategy.