Finance in SAP S/4HANA Cloud Public Edition 2608 | Release Highlights

SAP S/4HANA Cloud Public Edition 2608 introduces new Finance innovations to help organizations improve transparency, streamline asset transfers, and accelerate reconciliation.

In this release highlights video, an AI avatar representing Ahsan Syed walks through three selected Finance updates delivered with SAP S/4HANA Cloud Public Edition 2608. See how new capabilities for contract and lease management, asset accounting, and contract accounting can help finance teams improve efficiency, auditability, compliance, and period-end close activities.

You’ll see how cost settlement in contract and lease management supports a complete end-to-end settlement process for real estate customers. With integration to Planon, participating objects, proportional settlement calculations, and contract-level breakdowns, finance teams can standardize calculations across periods and gain clearer visibility into settlement results.

The video also introduces the new Post Asset Transfer app, which helps users post full or partial asset transfers for single assets. Transfers can be handled by percentage or amount, with support for asset transfers across company codes and regions, helping finance teams manage asset accounting processes more seamlessly.

Finally, Ahsan highlights the new Display of General Ledger Items in Contract Accounting app. With posting date filters, detailed line-item breakdowns, currency-based totals, drill-down options, follow-on actions, and customizable layouts, teams can analyze GL items more easily and support faster reconciliation and period-end closing.

Highlights include:
🏢 Cost settlement for contract and lease management — Support end-to-end settlement processes for real estate customers.

🔎 Clear settlement breakdowns — Improve transparency, auditability, and compliance at the rentable-object and contract level.

🔁 Post Asset Transfer app — Post full or partial asset transfers for single assets across company codes and regions.

📘 Display of General Ledger Items in Contract Accounting — Analyze GL items with a modern, intuitive user experience.

✅ Faster reconciliation and close — Use filters, drill-downs, follow-on actions, and flexible layouts to support period-end activities.

Chapters:
00:00 – Introduction to Finance highlights for release 2608
00:29 – Cost settlement in contract and lease management
01:15 – Six-step settlement process and posting details
02:03 – Asset transfers across company codes and regions
02:50 – Display of General Ledger Items in Contract Accounting
03:20 – Drill-downs, flexible layouts, and reconciliation
03:35 – Release recap and additional resources

• Read Ahsan’s blog on Finance release highlights in SAP S/4HANA Cloud Public Edition 2608:
https://sap.to/6057BHBqUN

• Explore SAP Community:
https://sap.to/6055CIrvT

• Learn more about SAP Cloud ERP:
https://sap.to/6056CIrvp

Follow us on social:
LinkedIn: https://sap.to/6051BHBqU7
Instagram: https://sap.to/6053BHBqUh
Facebook: https://sap.to/6054BHBqq6
Threads: https://sap.to/6055BHBqqB

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6056BHBqq8

#SAP #SAPCloudERP #SAPS4HANACloud

Keynote Highlights: AI, Data and the Autonomous Enterprise in 17 Minutes | SAP Connect

Watch 17 minutes of keynote highlights from SAP Connect 2026, live from Las Vegas. See how SAP Business AI, trusted data, and the Autonomous Enterprise come together, with Joule Work, SAP Autonomous Suite, SAP Business AI Platform, customer proof points, and enterprise-grade governance.

What you’ll see:
➡️ Joule Work — SAP’s AI engagement layer, built on conversations, Spaces, and Joule Studio to help users work in natural language
➡️ Trusted data and business context — how SAP Knowledge Graph connects data fields, tables, APIs, data products, and process knowledge to give AI the context it needs
➡️ SAP Autonomous Suite — AI assistants and agents across finance, spend, HCM, supply chain, customer experience, and industry AI
➡️ SAP Business AI Platform — the foundation to build, contextualize, and govern AI across the enterprise
➡️ Autonomous Spend and sourcing — how AI agents can support bid analysis, negotiation support, sourcing events, and productivity gains
➡️ Autonomous Supply Chain — how real-time sales, inventory, production data, demand signals, and agents can help teams move from reactive to predictive planning
➡️ Autonomous HCM — SAP’s acquisition of TechWolf and how work intelligence can help organizations understand skills, tasks, and workforce needs
➡️ SAP Pay — payment execution embedded directly into SAP Cloud ERP, with agents supporting execution and reconciliation
➡️ Industry AI and trust — why industry-specific context, governance, security, compliance, and human oversight matter for enterprise AI

Customers featured: Novartis (procurement), Morgan Foods (supply chain), Nestlé (finance), PwC (industry AI and professional services)

Speakers: Christian Klein (CEO), Jan Gilg (President, Autonomous Suite), Muhana Albuloushi (Business AI Platform), Rebecca Schofield (SAP SuccessFactors), Marielle Ehrmann (Trust & Security), and customer guests

Chapters
0:00 — Opening: The Autonomous Enterprise in action
0:40 — Joule Work and SAP Business AI
2:33 — SAP Autonomous Suite across every business domain
3:45 — SAP Business AI Platform: Build, contextualize, govern
6:03 — Autonomous sourcing and supply chain in action
8:01 — TechWolf and the future of Autonomous HCM
9:53 — SAP Pay and finance transformation
11:28 — Industry AI, customer experience, and trusted context
12:45 — Trust, security, compliance, and AI governance
15:56 — Closing: This is the Autonomous Enterprise

Follow us on social:
LinkedIn: https://sap.to/6050BG0v3M
Instagram: https://sap.to/6052BG0v3O
Facebook: https://sap.to/6053BG0v3P
Threads: https://sap.to/6054BG0v3u

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6055BG0v3R

#SAPBusinessAI #AutonomousEnterprise #Joule

SAP Datasphere & BDC: Top New Features | September 2026

Explore the latest SAP Datasphere and SAP Business Data Cloud feature highlights from the September 2026 releases.

In this monthly update, Klaus-Peter Sauer covers what shipped across releases 2026.19 and 2026.20, including replication flow improvements, stronger data product governance, more detailed cost monitoring, easier data integration monitoring, and new AI-powered capabilities.

You’ll see how these updates can help data teams build more flexible replication pipelines, manage runtime settings consistently across landscapes, improve multilingual data quality, establish clearer governance for data product access, understand object store consumption, and use SAP Business AI to simplify SQL development and pipeline analysis.

You will see what is new in:
✅ Delta Load for Local Tables (File) as Replication Flow Source — Use local tables stored on object store as replication flow sources with delta and initial-plus-delta load types.
✅ Transport Runtime Settings for Replication Flows — Choose which runtime settings move with a replication flow across development, test, and production landscapes.
✅ Attribute Translation and Data Validation — Validate translation completeness with text entity rules and provide fallback text when translations are unavailable.
✅ Data Product Governance Improvements — Establish formal agreements between data producers and consumers, with terms and conditions, access requests, approvals, and an auditable record of data product usage.
✅ Object Store Requests Consumed by Category — See control plane, read, and write requests separately for greater visibility into SAP Business Data Cloud consumption.
✅ Add and Clear Filters in Data Integration Monitor — Apply column filters directly in the monitor, see active conditions at a glance, and clear them in one step.
✅ AI SQL Code Generation and Pipeline Analysis — Generate or modify SQL views using natural language and create AI-powered business summaries plus error and impact analyses based on pipeline metadata.

Chapters:
00:00 – Introduction
00:26 – Delta Load for Local Tables as Replication Flow Source
01:01 – Transport Runtime Settings for Replication Flows
01:39 – Attribute Translation and Data Validation
02:38 – Data Product Governance Improvements
04:53 – Object Store Requests Consumed by Category
05:32 – Add and Clear Filters in Data Integration Monitor
06:05 – AI SQL Code Generation and Pipeline Analysis
07:14 – Wrap-Up

• Explore SAP Business Data Cloud:
https://sap.to/6051BGq0Oh

• Watch the SAP Datasphere Top Features playlist:
https://sap.to/6052BGq0P6

Follow us on social:
LinkedIn: https://sap.to/6053BGq0PB
Instagram: https://sap.to/6054BGq0P8
Facebook: https://sap.to/6055BGq0PD
Threads: https://sap.to/6057BGq0P1

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6050BGq0Py

#SAPDatasphere #SAPBusinessDataCloud #DataManagement

Toto Wolff: “It can sustain 20,000g” 👀 | Significant Figures

On the latest episode, reveals a special feature of his watch made for him, designed to withstand 20,000g!

Watch the full episode of Significant Figures: https://sap.to/6059B1IOZL

@MercedesAMGF1

SAP Acknowledged as a Leader in First-Ever Gartner® Magic Quadrant™ for Digital Twin of an Organization Platforms

SAP has been recognized as a Leader in the first-ever Gartner® Magic Quadrant™ for Digital Twin of an Organization. This recognition follows closely behind SAP’s acknowledgement as a Leader for Process Intelligence Platforms earlier in 2026.

In today’s dynamic business landscape, characterized by the ongoing rise of AI and the need for adaptation in the face of rapid change, companies that understand the impact of operational adjustments—before those changes actually take effect—are best-placed to make the right decisions, faster.

Build the insight and alignment needed to transform—today and tomorrow

A digital twin of an organization (DTO) mirrors and analyzes how businesses operate and adapt in order to foresee the implications of new ways of working, track realized value, and increase orchestration potential across people, AI agents, processes, applications, and data. This capability is an emerging enterprise imperative as autonomy gains a foothold, and SAP maintains an ongoing dedication to innovation and customer satisfaction in this area.

SAP offers a unique combination of AI-native DTO capabilities that span process intelligence and modelling (SAP Signavio solutions), enterprise architecture management (SAP LeanIX solutions), digital adoption (WalkMe solutions), automation (SAP Business Technology Platform), SAP’s AI solution (Joule), and more, all united within the SAP Business AI Platform. Together, these capabilities can offer businesses a dynamic DTO with continuous observability and AI-driven actionability features that help support agentic readiness, enterprise knowledge activation, transformation management, and value orchestration.

Dee Houchen, chief marketing officer at SAP Signavio, said, “Our aim is to help our customers create a repeatable, sustainable, AI-native transformation capability, rather than treating inevitable organizational adjustments as simply a series of independent projects. Driving greater enterprise observability, supporting smarter, real-time decision-making, accelerating transformation, and ensuring business outcomes are measurable are all key to this approach, which is why effective DTO is such a fundamental benefit to modern organizations.”

The Gartner® Magic Quadrant™ methodology provides a clear, research-based overview of evaluated vendors in a given market. This year’s Magic Quadrant assessed 18 vendors across a range of criteria, including market understanding, offering strategy, innovation, product and service quality, customer experience, and more, as well as a broad range of key use cases: digital twin for business operations, digital twin for customer excellence, digital twin for governance, risk, and compliance, and digital twin for strategy realization.

The Gartner report also provides useful context regarding the state of the DTO market. We feel we were recognized as a Leader in the report thanks to our capacity to:

  • Uniquely serve all four transformation dimensions (people, processes, applications, and data) in a dynamic, virtual model
  • Enable full agentic life cycle management, allowing organizations to observe, govern, and optimize AI agents as organizational actors in reaching full enterprise potential 
  • Support organizations in enterprise knowledge activation, making enterprise context actionable  

The Gartner Magic Quadrant equips businesses with valuable insights to make informed decisions. For a complimentary copy of the latest resource featuring SAP solutions (Gartner, Magic Quadrant for Digital Twins of an Organization Platforms, Marc Kerremans, David Sugden, 27 July 2026) visit https://www.signavio.com/downloads/analyst-reports/dto-2026/.


Lucas de Boer is global marketing program lead for SAP Signavio.

Sign up to receive weekly news highlights from the SAP News Center

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are trademarks of Gartner, Inc and/or its affiliates.

Would today’s AI have changed Formula 1 history? 💨 Hear from Mika Häkkinen and David Coulthard.

F1 legends Mika Häkkinen and David Coulthard shared their perspective on how data, AI, and real-time decision-making have transformed racing, and what that evolution says about the future of performance.

SAP Store: Expand Your SAP Landscape Faster

Expand your SAP landscape faster with SAP Store, the trusted marketplace for SAP and partner solutions.

SAP Store helps organizations discover, try, and buy solutions from SAP and trusted partners without starting from scratch. In this video, see how customers can find what they need, add solutions to their cart, and check out through a streamlined purchasing experience.

With access to more than 3,600 SAP and partner offerings, SAP Store makes it easier to add new capabilities to your existing SAP environment. Customers can add solutions to an existing contract with co-terming or start a separate contract, giving teams more flexibility and control as business needs evolve.

Whether you’re expanding current SAP solutions, adding partner-built capabilities, or looking for a faster way to procure software, SAP Store helps you grow at your own pace.

Explore SAP and partner solutions: https://sap.to/6052B8U0A4

Follow us on social:
LinkedIn: https://sap.to/6053B8U0Af
Instagram: https://sap.to/6054B8U0AA
Facebook: https://sap.to/6055B8U0A7
Threads: https://sap.to/6059B8U07B

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6053B8U071

#SAP #SAPStore #EnterpriseSoftware

From Campus to Career: SAP Empowers Academia to Prepare Students for the Age of Agentic AI

Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI—up from effectively zero today—and that 33% of enterprise software applications will embed agentic AI capabilities.

Capture business-wide AI value with speed and confidence

Demand for professionals who can build, govern, and orchestrate these agents is rising faster than supply, making graduates with hands-on agent-building experience among the most sought-after profiles in today’s job market.

This year at SAP Sapphire, SAP laid out its vision for the Autonomous Enterprise, where AI agents manage and execute business processes end to end. For universities, this raises an immediate question: How do graduates get ready for a world where AI agents are part of daily operations?

SAP is now providing new no-cost offerings and resources for universities that give lecturers and students hands-on access to AI agent building, process management, and enterprise architecture tools. The goal is to help higher education keep pace with the rapid adoption of agentic AI in industry and prepare graduates for a changing job market.

Preparing the next generation of AI agent builders

SAP has put together a new set of offerings and resources that help universities embed agentic AI-related concepts and technology into their teaching hands-on. Three offerings, each covering a different angle of agentic AI, are now accessible at no cost for academic lecturers and their students:

  • SAP Signavio for lecturers and students: Before building an agent, the process it will operate in must be understood. SAP Signavio Process Transformation Suite gives lecturers and their students access to process mining, modeling, and process transformation capabilities. They can model and analyze existing processes, spot inefficiencies, and design improved workflows that include AI agents. Additionally, students and lecturers can now experience process modeling with SAP Signavio Process Modeler as part of SAP Learning Hub, student edition.
  • SAP LeanIX for lecturers: For students to understand where agents sit within an organization’s IT landscape, this is the tool. Newly available at no cost for academic lecturers via SAP Learning Hub, student edition, SAP LeanIX lets students model enterprise architectures and reason about what changes when introducing AI agents into an existing system landscape.
  • Starter resources for agent building: Lecturers and their students can access an agent-building environment from SAP and leverage various enablement resources. These allow students to explore configuring and building an AI agent, either in a guided demo experience or in a live system hands-on.

What makes this especially valuable is how the pieces connect. Students can explore different components of agentic AI hands-on using SAP solutions. They learn that building an agent is only part of the job. Understanding process context, architectural and governance implications is equally important.

Collaboration with educational institutions globally

SAP will also collaborate intensively on embedding agentic AI into teaching with lecturers from more than 10 universities globally, including:

  • Budapest University of Technology and Economics, Hungary
  • Eötvös Loránd University, Hungary
  • Hasso Plattner Institute, Germany
  • HEC Montréal, Canada
  • Karlsruhe Institute of Technology, Germany
  • National University of Singapore Business Analytics Centre, Singapore
  • TEC de Monterrey, Mexico
  • Technical University of Munich, Germany
  • Tongji University, China
  • Technical University of Dresden, Germany
  • University of California, Irvine, U.S.

The institutions will get exclusive early access to SAP’s latest agent building platform capabilities, benefit from agent building deep dives for students with SAP experts, and from the opportunity to articulate academic needs with regards to teaching agentic AI related concepts hands-on to SAP.

“We want students to work with the same tools and scenarios that companies are using right now,” Dr. Katharina Schaefer, head of Academic Partnerships at SAP, said. “By giving lecturers free access to our agent-building resources, we make it easy for them to bring that reality into their courses. Students who build AI agents on real enterprise processes during their studies will have a head start when they enter the job market.”

For faculty, the practical element is what counts. Students do not just read about AI agents in a textbook. They build them on real systems with real constraints.

“What excited me is that students get to work with enterprise-grade tools, thanks to this new platform,” said Prof. Jesús Aguilar-Gonzalez, TEC de Monterrey. “Students from our School of Engineering & Sciences build agents connected to real business processes and have to think about architecture and governance. That is much closer to what they will face in their first job than any textbook exercise.”

What sets this apart is its enterprise context: Agentic AI is taught in connection with business processes and the system landscape that supports them, so students learn how AI fits into real operations rather than experimenting in isolation.

Building the workforce of the future

As part of the SAP University Alliances program, SAP has been partnering with more than 2,800 educational institutions for decades to enable students to learn, research, and innovate with business applications and technology. With these offerings, SAP supports students in developing sought-after SAP skills, preparing them for job opportunities worldwide.

Ready to bring agentic AI into your classroom? Visit the SAP University Alliances page on sap.com or reach out via universityalliances@sap.com to get started.

SAP University Alliances: Enabling students to learn, research, and innovate with business applications and technology

JPMorganChase and SAP on Trusted AI | SAP Sapphire Orlando 2026

Trusted AI at enterprise scale depends on clean data, strong processes, and clear governance.

In this SAP Sapphire Orlando 2026 conversation, Christian Klein, SAP’s Chief Executive Officer, welcomes Jeremy Bernum, Chief Financial Officer of JPMorganChase, to discuss how one of the world’s largest financial institutions balances fast innovation with risk, compliance, and trust. Jeremy shares how technology helps JPMorganChase serve millions of customers, process transactions at global scale, and modernize its financial ecosystem.

The discussion highlights JPMorganChase’s move to SAP’s latest general ledger as part of a broader effort to bring finance operations into one unified, intelligent platform. Jeremy also explains why AI cannot simply be added to broken processes. Instead, successful AI requires end-to-end process re-engineering, trusted data, embedded controls, and full traceability.

The conversation closes with a look at the partnership between JPMorgan Payments and SAP, including integrated payment solutions, banking services embedded into SAP workflows, and future opportunities for agentic AI in treasury. In Jeremy’s words, the partnership comes down to three things: scale, speed, and trust.

00:00 – Welcome to SAP Sapphire
00:16 – JPMorganChase scale and technology backbone
00:29 – Balancing innovation, risk, and compliance
00:40 – Serving customers and processing global payments
01:03 – Common platforms for speed and safety
01:18 – Modernizing the general ledger with SAP
01:36 – Why AI accuracy matters in banking
02:09 – AI, technical debt, and process modernization
02:35 – Embedding intelligence with RISE with SAP
02:59 – Agentic solutions for ledger management
03:15 – Traceable AI with embedded controls
03:34 – SAP and JPMorganChase partnership in payments
04:04 – Integrated payment solutions in SAP workflows
04:31 – Exploring agentic AI for treasury
04:51 – Scale, speed, and trust

Watch the full Global Keynote: https://youtu.be/9aa-etRsaLU?si=j0rDQJCtoxUai0fX
Watch all SAP Sapphire replays on demand: https://www.sap.com/events/sapphire.html

Follow us on social:
LinkedIn: https://www.linkedin.com/company/sap/
Instagram: https://www.instagram.com/sap
Facebook: https://www.facebook.com/SAP/
Threads: https://www.threads.com/@sap

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html

#SAP #BusinessAI #SAPSapphire

The Future of the Enterprise Is Autonomous

A simple question about a purchase order used to cause frustration, burn time, and waste money.

SAP Sapphire in 2026: Advancing the Autonomous Enterprise

Employees at LC Waikiki, a global fashion retailer with tens of thousands of employees, had to navigate multiple systems to piece together data across sales and procurement. Answering a single question could take up to 10 minutes.

Today, they just ask Joule. What used to take 10 minutes now takes about three seconds, driving a 70% increase in operational efficiency and a 50% reduction in manual errors.

Using capabilities in Joule Studio, LC Waikiki partnered with SAP and NTT DATA Business Solutions to build a custom AI-driven experience that dynamically interprets user requests, applies role-based context, performs the necessary queries, and connects data across systems to present a complete view in one place. It then links people directly to the relevant transaction.

At SAP, stories like these inspire our vision for the enterprise in which AI transforms how people and processes work—one where people set the direction and AI executes. We call it the the Autonomous Enterprise.

In the Autonomous Enterprise, decisions are grounded in real-time intelligence, workflows are automated end-to-end, and AI proactively improves every function while empowering people to do their best work.

The Autonomous Enterprise also provides fully governed AI you can trust, so you can achieve more. Making this a reality for companies is critical because AI is now essential to how all work gets done. It is increasingly involved in decisions that carry financial, operational, and regulatory consequences.

Joule: One place to direct the entire business

In the Autonomous Enterprise, Joule Work, announced at SAP Sapphire, is the next step in the evolution of how people engage with and execute end-to-end business processes. Joule Work is a dynamic workspace that adapts to intent, keeps people focused on outcomes, and delegates execution to AI.

Through Joule Work, you can say goodbye to manually coordinating work across multiple applications and interfaces. Instead, tell Joule what you want to accomplish. Joule Assistants with role and process context will coordinate teams of Joule Agents to surface the right insights and automate routine work across departments and systems. Rather than static, disjointed systems, you get workspaces that pull together information and menus from various systems that fit your specific needs, in real time.

Joule Work is available now to customers in the SAP Early Adopter Care program. SAP Early Adopter Care program for the Joule Work desktop app is planned for Q2 2026; general availability for both is planned for H2 2026. The Joule Work mobile app is generally available now.

We also announced that Joule’s bi-directional Agent-to-Agent (A2A) capabilities will be generally available in Q4, enabling third-party agents to securely call on Joule Agents and act within enterprise processes, extending interoperability in both directions across SAP and non-SAP environments. Agents built in Joule Studio will natively support A2A protocols, enabling interoperability and scalability for multi-agent execution.

SAP Autonomous Suite: The operational core of the modern enterprise

While Joule Work empowers every individual to do their best work and expand their impact, the SAP Autonomous Suite transforms how entire business functions, or “autonomous domains,” work.

SAP Autonomous Suite spans five domains: finance, spend, supply chain, human capital management, and customer experience. These domains will operate as a single system, so workflows and agents run across functions without fragmenting into separate tools, separate data, or separate decisions. This approach allows AI recommendations to reflect your full operating reality.

With SAP’s integrated suite of business applications and industry-leading business data, AI in the Autonomous Enterprise is grounded in the specifics of how key business functions actually work. This foundational context for transformative AI outcomes is where SAP’s unique experience comes in. For decades, we have been trusted to run our customers’ most important functions. SAP Autonomous Suite infuses our deep knowledge of business processes into your AI, along with the data context and operational guardrails it needs to be truly effective and reliable at enterprise scale.

Each organization is also unique. Over time, your business has defined how your work gets done. These are the rules, workflows, and how systems respond when something unexpected happens, like a failed transaction, so processes don’t break. In the Autonomous Enterprise, AI delivers its greatest value by respecting these boundaries, turning your unique ways of working into a true advantage.

At SAP Sapphire, we announced new Joule Assistants and Joule Agents, spanning the domains of the Autonomous Enterprise, to help organizations move from managing work to directing outcomes. These new assistants and agents will roll out through the end of this year.

SAP Business AI Platform: The foundation of the Autonomous Enterprise

The SAP Business AI Platform turns the vision of human-led, AI-driven business operations into something enterprises can build and run. It enables them to move from AI experimentation to execution by grounding agents and applications in real business context that governs it all at enterprise scale.

At the center is Joule Studio, a fully managed environment that empowers enterprises to build and manage the full lifecycle of AI agents, applications, extensions, and workflows. Intent-based development capabilities allow people to describe what they need in natural language. A Joule Agent then generates structured requirements, specifications, code, and test artifacts grounded in SAP process and data context.

Developers can work within the tools they already use, including VS Code and MCP-enabled toolchains, and choose their preferred agent frameworks, such as LangGraph, AutoGen, and LlamaIndex.

Through deep integration with the SAP Knowledge Graph, SAP Business Data Cloud—and the new SAP Domain Models trained on SAP code, customer data, metadata, and business processes—Joule Agents reason over real, semantically rich enterprise data rather than generic knowledge. SAP Domain Models are available through the SAP Early Adopter Care program, with general availability planned for Q3 2026.

Speed and governance, no longer a tradeoff, are built into the SAP Business AI Platform. At SAP, we believe that corporate governance—including approval flows, compliance processes, identity management, and the ability to audit decision-making—must carry into how AI is deployed, updated, and scaled. Joule Studio runtime provides a secure, production-ready, fully managed environment for deploying agents, helping organizations meet compliance standards while reducing infrastructure complexity.

An enhanced SAP AI Agent Hub also provides a vendor-agnostic command center to discover, inventory, and govern SAP and non-SAP AI agents and MCP servers across the enterprise. Integration with SAP Signavio and SAP LeanIX further embeds governance and architecture transparency into the development process.

The SAP AI Agent Hub leverages enterprise-wide process intelligence to continuously track where AI agents are creating value and can proactively surface where they can deliver even more, because we believe AI needs to remain accountable for outcomes in addition to uptime. SAP AI Agent Hub is generally available, with additional capabilities rolling out through 2026. See release timelines in the SAP Sapphire Innovation News Guide.

Empowering everyone to solve business challenges with AI

We are making the Autonomous Enterprise a reality because at SAP, we believe that companies of all sizes need far more than marginally better AI models or the latest bolt-on solutions. They deserve AI-driven outcomes that increase innovation, revenue, and margins.

The Autonomous Enterprise is what brings our vision to life: AI grounded in your data, connected across your most important processes, and governed to fit how your business runs.


Brenda Bown is chief marketing officer for SAP Business AI.

SAP Sapphire in 2026: Discover our bold new vision for how businesses will run from now on

Previous Next
Close
Test Caption
Test Description goes like this