As organizations move to SAP S/4HANA and adopt cloud-first strategies, achieving a Clean Core—across custom code, configuration, and business processes—has become essential to reducing complexity and minimizing technical debt. Yet finding the right balance between standardization and the flexibility your business needs can be challenging.

AI is changing the equation. By applying AI to analyze customizations, streamline processes, and guide modernization decisions, organizations can accelerate their path to a Clean Core and sustain it more effectively. This approach goes beyond ABAP code remediation, enabling a broader transformation of both technical and operational layers of the SAP environment.

In this session, you will:

• Understand how AI accelerates progress toward achieving and maintaining a Clean Core.
• Discover Practical ways to use AI to identify, manage, and minimize custom code.
• Learn how AI can streamline and standardize end to end business processes.
• Discover techniques to future proof your SAP landscape with AI while keeping technical debt low.

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.

Artificial intelligence is no longer a future concept in Accounts Payable - it’s already redefining what “efficient” looks like in SAP. In this session, learn how AI-powered invoice automation with xSuite is moving AP teams closer to truly touchless processing - without compromising control, compliance, or SAP Clean Core principles.
We’ll show how AI-driven invoice recognition and advanced capture lay the foundation for scalable, future-proof AP processes embedded directly in SAP. You’ll see how higher automation rates, better data quality, and fewer exceptions translate into faster cycle times and measurable operational gains.
A special highlight is the Copilot of the future: an intelligent assistant that doesn’t just react, but actively supports AP teams - guiding decisions, handling routine tasks, and helping users focus on what really matters.
Experience a live walkthrough of AI-enabled, end-to-end invoice processing with minimal manual touchpoints - and see how organizations are freeing up AP teams for higher-value, strategic work.

Key takeaways:

• How AI enables higher automation rates and more consistent, touchless AP processes.
• How intelligent capture improves data quality and reduces exceptions.
• How an AI Copilot can actively support AP users and eliminate routine work.
• What measurable efficiency gains look like in AI-driven AP operations.

See how PwC used LLMs in their SAP S/4 HANA implementation to automate enterprise role design, reduce manual mapping by weeks, improve accuracy, and drive compliance. Get AI-driven best practices, key insights, and strategies to speed up ERP role-based access and scale effectively.

In this session, you will:

• Reframe enterprise role design as a data-led governance problem. Learn how a large technology company and PwC turned raw process and requirement data into “decision-grade” role intelligence by structuring 70,000+ process items into a governed L1 to L5 BPML foundation. 
• Use LLMs to shift workshops from discovery to validation. See how evidence-linked, confidence-scored recommendations produced workshop-ready role proposals, moving stakeholder time from “what do we do?” to “is this right?” and compressing cycle time from weeks to days. 
• Scale role mapping across SAP and non-SAP with traceability. Understand a practical approach to map activities to entitlements across a heterogeneous landscape (SAP plus non-SAP) while keeping every recommendation traceable back to a source activity or requirement. 
• Strengthen governance, risk, and compliance in access management. Discover how AI-driven insights supported more consistent role definitions, improved segregation-of-duties considerations, and enhanced visibility across the access model.

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.

Many organizations today have no shortage of AI ideas—but lack a clear strategy for where AI belongs across the enterprise and how it should transform the way the business operates. In this 90-minute interactive session, find out how CIOs, enterprise architects, and business leaders can frame an enterprise AI strategy that embeds intelligence directly into core business processes across SAP landscapes and cloud platforms. Rather than focusing on isolated use-cases, the session introduces a practical approach to identifying high-impact opportunities across value streams, aligning them with enterprise architecture, and building a roadmap toward intelligent operations. Through real examples, demonstrations, and discussion, attendees will gain a clear framework for moving from scattered AI experiments to AI embedded across the enterprise.

Hear how Merck, a global leader in healthcare, science, and technology, has developed a cyber resilience strategy for their SAP S/4HANA Cloud environment using Zero Trust principles in the S/4HANA Private Cloud. Lessons learned emphasize collaboration, proactive security, SAP and partner technologies, user engagement, and an understanding of shared responsibilities. By attending this session, attendees will leave with ideas to strengthen their security posture and address evolving cyber threats in the SAP S/4HANA environment.

Community is a three-legged stool made up of Events, Platform, and Omnipresence (meeting members where they are). AI reshapes how people interact, but not why they gather. 
Taking place in the Brew Park during Pub Night in the Exhibit Hall, this session discusses how the SAP Community was formed, where it is now, and what its future looks like in a human-human, member-focused world. 

• AI reshapes how people interact, but not why they gather.
• As AI scales content, trust becomes the differentiator.
• The future is not AI vs humans. It’s AI accelerating connection.

AI is flooding SAP access governance, but most implementations amount to little more than chatbots with big promises. This session draws from Pathlock research and highlights three AI use cases that are delivering real business value today. You’ll see how agentic AI can recommend access risk remediation in seconds and detect high-risk privileged activity up to 5 times faster than human review.

Key learning objectives:

• Accelerate Privileged Activity Reviews: Leverage agentic AI to detect high-risk activity during Firefighter sessions up to 5 times faster than human review.
• Automate Remediation with Intelligent Recommendations: Use AI-driven Access Risk Analysis to generate remediation suggestions in seconds. 
• Optimize User Access Reviews (UAR) with Predictive Insights: Transition from manual, spreadsheet-based reviews to risk-aware automation.

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.

Ask the Experts sessions provide an informal setting to connect one-on-one with subject matter experts and experienced end users on specific areas of expertise. Bring your pressing questions and be ready to discuss your key challenges and priorities.

Topics covered: SAP S/4HANA Migrations, SAP Cloud ERP, Joule, Finance Transformation

Ask the Experts sessions provide an informal setting to connect one-on-one with subject matter experts and experienced end users on specific areas of expertise. Bring your pressing questions and be ready to discuss your key challenges and priorities.

Topics covered: AI in finance; Deploying AI on SAP BTP; SAP S/4HANA Business Case Development.

Ask the Experts sessions provide an informal setting to connect one-on-one with subject matter experts and experienced end users on specific areas of expertise. Bring your pressing questions and be ready to discuss your key challenges and priorities.

Topics Covered:
Enterprise Architecture and Transformation Strategy, SAP in the Cloud Modernization, AI Strategy, Embedding AI into Core Business Processes, Connecting Capability-based Planning, Transformation, and Customer Experience.

Ask the Experts sessions provide an informal setting to connect one-on-one with subject matter experts and experienced end users on specific areas of expertise. Bring your pressing questions and be ready to discuss your key challenges and priorities.

Topics Covered: SAP Business AI, AI Consumption and Licensing, and SAP BTP.

Attend this session for insight into why many SAP S/4HANA and AI initiatives fail to deliver the agility, visibility, and business value organizations expect, and how common execution breakdowns undermine outcomes despite significant investment.

Key learning objectives: 

• Identify the most frequent failure points that limit value realization in SAP S/4HANA and AI programs.
• Prevent issues such as incorrect configuration, inconsistent master data, and process behaviors misaligned with standard SAP S/4HANA functionality.
• Align processes, data, and planning practices to support stable execution and operational agility.
• Apply a practical blueprint to position SAP S/4HANA as a business asset that delivers measurable operational and financial results.

The future of work is evolving at unprecedented speed, and organizations that harness AI-powered transformation are pulling ahead. A new model is emerging—the Frontier Firm—where human ambition is amplified by AI agents to unlock entirely new levels of productivity, agility, and value creation. In this session, we explore how AI agents are moving beyond automation to become active contributors within the enterprise, augmenting human capabilities and enabling outcome-based work models that replace rigid hierarchies. Frontier Firms are organizing around results, not roles, empowering dynamic teams that adapt in real time as business needs change.

Attendees will learn why fragmented AI tools limit scale, and how integrated AI ecosystems accelerate adoption across functions while maintaining trust. We’ll also examine why governance, security, and responsible AI are no longer back-office concerns, but strategic enablers of sustainable transformation.

Key takeaways:

• AI agents are redefining productivity by augmenting human work and removing traditional capacity limits.
• Outcome-based work models enable faster, more adaptive teams aligned to business results.
• Integrated, secure AI foundations are essential to scale innovation responsibly and competitively.
• Frontier Firms aren’t waiting for the future of work - they’re building it now.

Kick off SAPinsider 2026 with pre-conference gatherings designed to connect you with peers navigating similar priorities, decisions, and challenges. These facilitated roundtable conversations create space for candid exchange, shared experience, and practical insight in a relaxed setting before the main agenda begins. Choose a discussion aligned to your interests and walk away with fresh perspectives and new connections that set the tone for the rest of the week.

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.

Note: This lab session includes laptops for attendee use, available on a first-come, first-served basis. 
You are welcome to bring your own device if preferred. Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.

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.

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

Note: This lab session includes laptops for attendee use, available on a first-come, first-served basis. 
You are welcome to bring your own device if preferred. Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.

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.

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

SAP ECC to SAP S/4HANA modernization initiatives are frequently constrained by years of accumulated custom code, undocumented logic, and intertwined system dependencies that increase remediation effort, extend timelines, and elevate risk. This session explores how Nova Intelligence’s Agentic AI platform can be applied within transformation programs to document legacy systems, map complex dependencies, and generate clean core–aligned code to modernize existing customizations or replace them with standard functionality. 

Key Learning Objectives:

• Recognize the custom code challenges that most impact SAP S/4HANA migration timelines and risk.
• Understand how Nova Intelligence performs large-scale custom code discovery and dependency mapping.
• Examine how AI-supported retain, retire, or replace classification improves modernization planning.
• Evaluate how Clean Core–aligned refactoring can reduce long-term technical debt.

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.

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?

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 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.

As organizations accelerate AI strategies, the Future of Professionals 2026 Report reveals high-skill functions like tax and trade are rapidly transforming into AI-augmented disciplines. Yet many SAP customers struggle with fragmented data, manual processes, and heavy IT reliance for system changes, configurations, and reporting.​ This session explores strategies and solutions to leverage automation to simplify complex compliance requirements, improve accuracy, and streamline workflows across global tax functions.

By attending, you will:

• Explore key insights from the Future of Professionals 2026 Report and what they mean for corporate tax, trade, and IT leaders.
• Get an overview of the capabilities of ONESOURCE, from automated content and configuration updates to global tax and trade intelligence, integration, and more.
• Take a focused look at how ONESOURCE and SAP, strengthened with agentic AI capabilities, delivers practical, tangible innovations that make tax and trade teams more self-sufficient—while significantly reducing the operational burden on IT.

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.

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.

Explore how artificial intelligence is reshaping the order-to-bill-to-cash process for high-volume, subscription and usage-based business models. Hear from industry leaders as they share how they achieve end-to-end visibility using AI-powered capabilities, including intelligent order and billing agents, agentic dispute resolution, machine-learning-driven cash application, and customer behavior insights to improve payment collections.

In this panel discussion, you will learn how to:

• Streamline order, billing, and cash operations with AI-powered, intelligent agents.
• Enable flexible subscription and usage-based monetization to drive recurring revenue.
• Accelerate cash application and collections with intelligent, data-driven decision-making.
• Resolve billing disputes faster through agentic decision-making and automation.
• Improve visibility and customer satisfaction with a unified, 360° view of financial interactions.

Finance leaders from telecommunications, banking, and other industries are embedding AI into their SAP finance organizations and generating measurable value from these initiatives. This session will explore the business problems organizations are targeting, the decision criteria guiding their AI investments, and key outcomes emerging from deployed use cases across reconciliation, forecasting, controls, and operational accounting. The conversation will also discuss how AI is redefining roles, skills, and governance expectations within finance teams as intelligence becomes embedded in daily work. Attendees will walk away with real customer roadmaps, lessons learned, and practical guidance for accelerating AI adoption in SAP finance environments.

Most AI-enabled SAP Supply Chain programs fail not because of technology—but because of unreliable master data. Before demand sensing, predictive planning, or automation can deliver value, organizations must fix foundational data gaps. Learn how leading enterprises are reducing risk, accelerating adoption, and building AI-ready supply chains by prioritizing master data readiness.

In this session, you will learn:

• Why SAP IBP, SCM, e-PPDS, EWM, SD and MFG and advanced planning programs fail due to hidden master data gaps.
• How preventive master data correction reduces cost and implementation risk.
• Why AI and demand sensing collapse without trusted data.
• How to shift from reactive data cleanup to preventive intelligence.
• A proven framework to build an AI-ready SAP Supply Chain foundation.

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.

Note: This lab session includes laptops for attendee use, available on a first-come, first-served basis. 
You are welcome to bring your own device if preferred. Power is available at the tables. Please connect to the secure event Wi-Fi and test your browser before the session begins.

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.

Capacity is limited to 50 participants. If the lab is full, please join the waitlist. Pre-registered attendees should arrive at least 10 minutes before the session to claim their seat. To ensure an on-time start, any unclaimed seats will be released to waitlisted attendees 5 minutes before the session begins. If you’ve preregistered and later decide not to attend, please remove the session from your agenda in the event app so your spot can be offered to the waitlist. Waitlisted attendees should monitor the event app on the day of the lab and be prepared to proceed to the room quickly if space becomes available. Note: To receive waitlist updates, be sure to enable networking and allow push notifications in the app.

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 organizations adopt SAP S/4HANA and modern operating models, traditional process visibility and point-in-time controls are no longer sufficient to manage scale, complexity, and risk. Fragmented reporting, manual monitoring, and after-the-fact analysis leave teams reactive to process breakdowns, compliance issues, and performance leakage across critical end-to-end processes such as Customer-to-Cash (C2C). This session examines how enterprises are operationalizing AI-enabled process intelligence to establish continuous monitoring across SAP-centric business processes. By combining process mining with AI-enabled machine learning, organizations gain real-time insight into actual process execution, surfacing control gaps and high-risk deviations without added manual effort. Attendees will learn how this approach shifts oversight from reactive analysis to proactive, continuous governance that strengthens audit readiness and drives sustained operational improvement.

Key learning objectives:

• Learn how to design and implement continuous monitoring across end-to-end C2C processes.
• Discover how process intelligence exposes control gaps, deviations, and inefficiencies in real time.
• Understand how to operationalize ongoing process oversight without increasing manual workload.
• Explore how organizations can move from reactive controls to proactive compliance and performance management.

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.

Healthcare organizations depend on always-on, highly secure systems to deliver life-saving services at scale. In this session, learn how McKesson, one of the largest healthcare distributors in the U.S., executed one of the largest SAP migrations ever completed to a hyperscale cloud - moving hundreds of servers and petabytes of data to Microsoft Azure in under four months. Facing end-of-support for on-premise hardware, McKesson accelerated its cloud timeline while maintaining zero disruption to patient care, pharmacy operations, or supply chain continuity.

Attendees will gain insight into the migration strategy that balanced speed with uncompromising security and compliance, including automated failover, high-availability architecture, and rigorous testing. The transformation delivered 30–40% SAP performance improvements, enhanced reliability, reduced infrastructure costs, and unlocked advanced capabilities such as AI-driven analytics and real-time scalability. This session goes beyond technical execution to highlight how cloud modernization can establish a future-ready foundation for innovation in highly regulated industries like healthcare.

Key learning objectives:

• Learn how to accelerate large-scale SAP migrations without disrupting mission-critical operations.
• Understand proven architectures for high availability, disaster recovery, and regulatory compliance.
• Discover strategies to achieve rapid time-to-value while minimizing operational risk.
• See how SAP on Azure enables performance gains, cost optimization, and AI-driven innovation.

Organizations are accelerating their SAP Business Data Cloud (BDC) and SAP Datasphere implementations by adopting an AI-augmented development strategy. This approach enabled the organization to automate the creation of tailored Core Data Services (CDS) views and SQL logic, dramatically reducing manual effort and increasing development speed. The result was a significant boost in productivity, faster delivery timelines, and improved adaptability to unique business needs.

This session will explore how AI-powered development techniques can streamline SAP data projects and unlock new value. Attendees will gain insight into how automation can simplify complex tasks, improve scalability, and support integration with platforms like Microsoft Fabric. The discussion will also cover best practices in SAP data modeling and de-normalization, offering practical guidance for teams looking to enhance agility and deliver more impactful outcomes from their SAP investments.

In this session, you will:

• Discover how AI-driven tools can automate the creation of tailored CDS views, streamlining SAP BDC and Datasphere implementations.
• Learn how our clients are leveraging innovative development approaches to enhance productivity and reduce project timelines.
• Explore best practices in SAP data modeling and de-normalization for improved accuracy and integration with Microsoft Fabric.
• Understand how adopting AI techniques can unlock new business value and drive faster, impactful outcomes from SAP data initiatives.

This insightful session explores the transformative shift from legacy Testing Centers of Excellence to a modern Quality as a Service model, deeply integrated with SAP's ecosystem through our longstanding partnership. 

By attending, you will:

• Discover how to build and deploy agile business process assurance functions that accelerate alongside AI-powered innovations, ensuring seamless adaptation to rapid enterprise changes.
• Gain practical understanding of integrating AI technologies to enhance traditional quality practices, supporting complex, heterogeneous systems and applications for future-ready operations.
• Explore demos and real-world examples for insight into how SAP customers and partners have leveraged Tricentis' solutions to achieve resilient, high-velocity software quality assurance in an era of unprecedented innovation.

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.

National Gypsum Company shares how a long-standing SAP partnership has helped sustain and evolve its SAP landscape for over eight years. In this session, learn how a flexible AMS model—combining onshore, offshore, and scalable expertise—enabled continuous innovation, strong technical governance, and seamless support for complex SAP integrations. The discussion will also highlight how National Gypsum is leveraging AI, data platforms, and predictive analytics to drive smarter manufacturing operations and operational efficiency.

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.

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.

As organizations evaluate SAP Cloud ERP, many assume that accessing full innovation and cloud operating model benefits requires moving workloads to hyperscaler public cloud data centers. In reality, SAP Cloud ERP can be deployed in existing customer data centers or colocation environments while maintaining the same software features and operating model as hyperscaler hosting options.

This session examines how SAP on-site and in-place hosting options are structured, how they compare to hyperscaler deployments, and how they can eliminate unnecessary migration and significant data center transition costs. Learn how these models support efficient data aggregation, secure AI inference for both SAP and non-SAP data, and access to SAP innovation, including Joule agentic AI. 

Attendees will:

• Understand the on-site and colocation hosting options available for SAP Cloud ERP.
• Examine what remains consistent across hosting models, including capabilities and operating approach.
• Evaluate risk, cost, infrastructure, and data residency considerations tied to staying on-site.
• Explore how innovation, including AI capabilities such as Joule, is supported in on-site environments.
• Gain guidance for determining whether on-site Cloud ERP aligns with enterprise architecture and long-term IT strategy.

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.

Accounts Payable is no longer just about automation - it’s becoming a strategic lever for finance transformation. In this session, discover how next-generation AP automation powered by AI and SAP-native technology is redefining efficiency, accuracy, and visibility across finance organizations.
Join xSuite as we break down what truly defines a modern AP solution today - from global e-invoicing compliance to AI-driven capture, prediction, and analytics. You’ll see how intelligent, SAP-embedded automation enables faster processing, fewer errors, and real-time insights.
Through practical examples, we’ll show how finance teams are moving beyond manual work and fragmented tools toward scalable, future-ready AP processes that support better decisions and stronger compliance.

Key takeaways:

• How to simplify global invoice processing with SAP-embedded e-invoicing and compliance.
• How LLM-based intelligent capture improves accuracy and reduces manual effort.
• How AI predictions automate coding, approvals, and exception handling.
• How modern AP reporting turns transaction data into actionable insights.
• Why native SAP integration is critical for performance, security, and Clean Core alignment.

The application of generative AI to technical SAP operations has a practical and already proven side. With focused scope, AI does a remarkable job of converting the available firehose of alerts and data from SAP systems into something digestible and useful for Basis teams. This session examines how to use AI to convert a stream of metrics and machine detail into a human-readable, prioritized set of actionable responses. Then, reduce resolution time to acute system outages and use automated early identification to prevent them entirely.

You will learn how to:

• Eliminate alert fatigue and false alarms, focusing on what matters for business continuity.
• Convert from technical context to insight, using generative AI to interpret complex SAP monitoring checks, recommend "next best actions" and response priorities.
• Empower junior staff to troubleshoot critical database licensing or performance issues safely using AI-driven guidance"

The SAP landscape is no longer confined to the core—it’s moving to the cloud and edge. But managing hybrid architectures and ensuring seamless integration across diverse environments remains a significant challenge for IT leaders.

Join experts from SAP and SUSE for a deep dive into the synergy between SAP Integration Suite, Edge Integration Cell and SUSE Rancher for SAP applications. We will move beyond the basics to show you how a secure, enterprise-grade Kubernetes platform serves as the foundation for modern SAP workloads. Whether you are tackling decentralized manufacturing, retail logistics, or complex hybrid clouds, you’ll leave this session with a clear blueprint for building a scalable, future-ready SAP integration strategy.

Key learning objectives:

• Discover how SUSE Rancher simplifies hybrid management from core to cloud to edge.
• Understand why SAP introduced the Edge Integration Cell and the specific "real-world" use cases it solves.
• Get a first look at recent innovations and the future roadmap for both platforms.

This session provides an essential overview of SAP's Business AI strategy and capabilities as we move into 2026. Obtain a holistic understanding of how SAP is transforming every enterprise through intelligent & AI-powered innovation. 

Emerge with:

• A solid grasp of how SAP embeds AI across business processes.
• Understanding of how Generative AI applications & capabilities including SAP Joule & Joule-based applications such as Joule for Consultants, Joule for Developers, & Joule Agents helps companies run at peak performance.
• A primer of the powerful technological enablement framework for Generative AI including SAP AI Foundation, AI Core, Generative AI Hub, Joule Studio, & Knowledge Graph.
• An overview of how customers can kickstart and/or accelerate their SAP AI journeys.
• A glimpse of the upcoming AI attractions in 2026.

Explore SAP Cloud ERP as an AI-powered SaaS ERP application designed for organizations that rely on technology to support efficiency, innovation, and growth. Understand how SAP is evolving traditional ERP through business best practices, intelligent automation, embedded analytics, and cloud-native architecture that supports scalability, resilience, and security.

Attend this session to:

• Explore key business capabilities and innovations based on the latest 2602 release.
• Get a guided tour of its key technological aspects, including the multi-tenant SaaS foundation.
• View demos to see how SAP Joule is reshaping the user experience and supporting improved productivity across SAP environments.
• Get guidance on whether and how to leverage a 2-tier Cloud ERP model underpinned by SAP Cloud ERP.

AI is redefining how finance operates. From accelerating the close to enabling predictive planning and real-time liquidity decisions, AI is creating a new standard for speed, accuracy, and insight. This session will cover findings from SAPinsider’s State of the Market: Finance Technology and Automation Report, revealing how leading organizations with SAP environments are deploying AI to transform core processes and what’s next for the intelligent finance function.

Join this session to understand how to:

• Apply insights about the AI revolution in finance to your own strategic roadmap.
• Identify key trends in AI and automation adoption within finance operations in SAP environments.
• Explain how AI-driven solutions improve efficiency in financial close and record-to-report processes.
• Analyze the impact of predictive analytics and scenario modeling on planning and forecasting.
• Evaluate strategies for leveraging automation to enhance cash management and liquidity visibility in SAP environments.
• Compare your organization’s finance technology maturity against SAPinsider community benchmarks.
• Develop an action plan for prioritizing AI and automation use cases in finance transformation.

Is your tax team driving value in the organization? Get beyond the complexity of shifting regulations, cross-border compliance, and the rise of digital mandates. Learn how AI and automation are driving new ways of working in tax that are essential for managing risk and driving efficiency. This session unveils findings from SAPinsider’s State of the Market: Global Tax Management Report, exploring how organizations with SAP environments are modernizing tax operations across Sales & Use Tax, VAT/GST, Corporate Tax, and e-invoicing. Discover where your organization stands against peers in AI maturity, tax controls, and technology adoption.

Join this session to learn how to:

• Apply insights about the AI revolution in tax to your own strategic roadmap.
• Formulate strategies to advance tax technology adoption and automation initiatives in SAP environments.
• Assess the maturity of global tax management practices across indirect and direct tax domains.
• Describe best practices for implementing tax controls and compliance frameworks in SAP environments.
• Differentiate approaches for managing Sales & Use Tax, VAT, and GST using automation.
• Explain how AI technologies are transforming corporate (direct) tax processes.
• Identify priorities for meeting global e-invoicing mandates and digital compliance requirements.

Governance, Risk, and Compliance (GRC) functions are under pressure to adapt to a rapidly changing regulatory landscape while managing complex SAP environments. AI and automation are transforming what organizations must look for and do to lower risk, strengthen controls, and enable predictive compliance. This session explores findings from SAPinsider’s State of the Market: GRC Report, looking at how organizations in SAP environments are leveraging intelligent technologies to modernize governance frameworks, automate compliance, and proactively manage risk.

Join this session to learn how to:

• Apply insights about the AI revolution in GRC to your own strategic roadmap.
• Identify key trends in AI adoption for GRC processes within SAP environments.
• Explain how AI-driven tools enhance risk management and predictive analytics.
• Describe best practices for automating governance and compliance workflows.
• Analyze strategies for implementing continuous controls monitoring and SoD management using intelligent technologies.
• Evaluate the impact of AI on audit readiness and regulatory compliance.
• Develop an action plan to prioritize AI and automation initiatives for GRC transformation.

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.

AI and Agentic AI promise significant benefits, however, they bring security risks such as breaches of privacy and confidentiality, unauthorized access and action. The unpredictability of Generative AI also poses new risks. We must ensure chat bots, co-pilots and agents stay within their intended scope boundaries and authorizations. Agents that interact with business systems and especially those that can act on users' behalf need to be carefully controlled and these risks multiply when agents start collaborating together.
 
This session gives an overview of the security risks for AI workloads across the stack, from agent and application, down to the models, platforms, and infrastructure. This established cybersecurity practice helps to identify security risks so they can be addressed early. Join this session to learn techniques, tools, and services that SAP uses itself to secure AI workloads and minimize risk without inhibiting pace of innovation.

You will learn:

• Full-stack security risks for AI workloads (SAP or otherwise). 
• Core principles of AI and Agentic AI threat modeling and risk identification. 
• Techniques, tools and services that can help reduce security risks.

Lucid Motors, a fast-growing electric vehicle manufacturer, faced increasing complexity in its SAP security landscape as it scaled operations. To address challenges in compliance and efficiencies in role management and user provisioning, the company launched a strategic initiative to modernize its SAP security framework using automation and AI.

Join this session to explore how Lucid Motors accelerated its SAP security transformation by integrating advanced technologies and fostering cross-functional collaboration. You will learn how the team used GPT-based tools and automated data analyzers to streamline role placement and user mapping, while automated testing tools reduced cycle times and improved accuracy. The session will also highlight the importance of alignment between project management, IT, business stakeholders, and internal audit to ensure compliance and scalability. Lucid’s experience offers practical strategies for building a future-ready SAP security model that supports both current operations and long-term growth.

You will learn:

• How to integrate AI-driven tools into SAP security workflows to accelerate role design and validation.
• Techniques for fostering cross-functional accountability and compliance alignment across project teams.
• Best practices for implementing automated testing to reduce errors and streamline cutover.
• Approaches to building scalable governance frameworks that support long-term adaptability.

In many SAP programs, significant time and cost are absorbed by documentation, implementation alignment, testing preparation, and iterative review cycles. Functional requirements are often translated inconsistently, technical artifacts vary across teams, and manual validation introduces delays and rework that increase delivery risk and inflate development costs.

See how an AI-driven Software Development Lifecycle (SDLC) platform designed for SAP environments embeds structured intelligence directly into development workflows to standardize requirement analysis, generate consistent technical documentation, support disciplined code review, and streamline test preparation while improving traceability across the lifecycle. Understand how to apply these capabilities within existing governance models by walking through use cases such as translating functional specifications into structured technical artifacts and accelerating interface modernization, including migrating from MuleSoft to SAP Integration Suite.

Attendees will learn how to:

• Introduce structured, AI-assisted requirement-to-technical translation within SAP projects.
• Standardize documentation and technical artifact generation across teams.
• Embed guided review and validation workflows into SAP development cycles.
• Automate test case creation and traceability documentation • Reduce rework by enforcing consistent SDLC checkpoints.
• Support structured interface migration from MuleSoft to SAP Integration Suite.
• Track improvements in cycle time, quality, and development cost efficiency.

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.

AI is moving from experimentation to execution inside SAP environments, and organizations need clearer visibility into what is working today. This session showcases real-world examples of SAP Business AI across finance, supply chain, and cross-industry processes in ECC and SAP S/4HANA landscapes, highlighting how teams are improving outcomes without disrupting stable processes. Attendees will gain practical clarity on where AI fits, how to prioritize use cases, and how to approach adoption with commercial and technical confidence.

Key Learning Objectives:

• Identify practical starting points for SAP Business AI that deliver measurable value with minimal process disruption, and evaluate potential use cases using straightforward value versus cost logic.
• Understand how SAP Business Technology Platform enables orchestration, integration, and responsible adoption of SAP Business AI.
• Gain a clear understanding of AI consumption and licensing basics to support planning, budgeting, and scaling decisions.
• Recognize how Joule embeds AI within SAP business processes to drive measurable, day-to-day impact.

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.

As financial operations grow more complex, the need to support multiple accounting principles, currencies, and valuation methods simultaneously has become a strategic imperative. Universal Parallel Accounting (UPA) delivers a transformative approach to financial management by enabling seamless, real-time parallel postings across ledgers within a unified data model. This session will unpack why Universal Parallel Accounting is one of the most impactful innovations in SAP S/4HANA. You’ll learn how UPA simplifies configuration, enhances compliance, and eliminates traditional reconciliation challenges by integrating core functions such as Asset Accounting, Overhead Management, Product Costing, and Revenue Recognition with the Universal Journal. 

Attend this session in order to: 

• Gain a clear understanding of UPA and its role in transforming finance and compliance in SAP S/4HANA. 
• Learn how to configure multiple ledgers and valuation views to support legal, group, and management reporting. 
• Explore how UPA integrates with core SAP modules (FI, CO, AA, ML, Margin Analysis) to reduce duplication and improve accuracy. 
• Understand reporting impacts and how UPA supports real-time insights across multiple dimensions and accounting principles.