Build & Run Your Solutions on SAP Business AI Platform | feat. Evgeniy Gorbunov

How can developers and partners move from AI experimentation to enterprise-ready solutions? Explore how SAP Business AI Platform brings together applications, data, AI agents, and governance to help organizations build, run, and scale enterprise AI.

In this episode of Discover SAP Business AI Platform, host Maria Radde sits down with Evgeniy Gorbunov, Platform Partner Enablement Architect at SAP, to explore how developers, businesses, and independent software vendors (ISVs) can build AI-powered solutions on SAP Business AI Platform.

The conversation explores why promising AI projects often struggle to reach production and how business context, connected data, and enterprise-grade governance help bridge that gap. Evgeniy explains how SAP Business AI Platform builds on SAP Business Technology Platform (SAP BTP), bringing application development, AI capabilities, and trusted business data together through three core pillars: Build, Contextualize and Reason, and Govern.

The discussion also takes a closer look at the technologies behind enterprise AI development, including Cloud Foundry, Kyma, SAP HANA Cloud, SAP Business Data Cloud, SAP Knowledge Graph, and generative AI hub. Evgeniy explains how AI agents complement traditional applications, how Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols enable connectivity and collaboration, and how partners can extend existing applications with agentic AI. A practical ISV example illustrates how these capabilities come together, followed by guidance on getting started with SAP Architecture Center and SAP PartnerEdge Build.

In this episode, you’ll learn:

✅ Why enterprise AI projects struggle to move from experimentation to production
✅ How SAP Business AI Platform builds on SAP BTP and existing investments
✅ How the Build, Contextualize and Reason, and Govern pillars support enterprise AI
✅ How Cloud Foundry, Kyma, and SAP HANA Cloud support AI-powered applications
✅ Why business data, semantic context, and governance matter for reliable AI
✅ How AI agents use MCP and A2A protocols to connect and collaborate across systems
✅ How ISVs can build agent-ready, multitenant solutions and bring them to market

Guest:
Evgeniy Gorbunov – Platform Partner Enablement Architect, SAP

Host:
Maria Radde – SAP

Chapters:
00:00 – Introduction to SAP Business AI Platform
01:54 – Why Enterprise AI Projects Struggle to Scale
04:07 – From SAP BTP to SAP Business AI Platform
05:26 – Building, Contextualizing, and Governing Enterprise AI
10:27 – Cloud Foundry, Kyma, and SAP Application Runtimes
12:43 – SAP HANA Cloud and Business Data for AI
15:55 – AI Models, SAP Knowledge Graph, and Governance
18:02 – Building AI Agents with MCP and A2A Protocols
21:15 – Real-World ISV Use Case: Agentic AI with SAP
24:42 – Getting Started with SAP Business AI Platform

Resources mentioned in this episode:
• SAP’s AI Golden Path | SAP Architecture Center
https://sap.to/6055BHQTGP
• SAP Business AI Platform Reference Architecture
https://sap.to/6057BHQTGR
• SAP PartnerEdge Program and Build Partnership
https://sap.to/6059BHQTGT

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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/6052BHQTGg

#SAPBusinessAI #EnterpriseAI #SAP

Developer Keynote: Agent v0.0.7: A License to Skill | SAP TechEd 2026

Ready to build what’s next with AI? Discover how SAP developers can create AI agents, connect enterprise data, and build intelligent applications at SAP TechEd 2026.

Join SAP’s developer advocates for a mission-driven keynote packed with live demonstrations, practical insights, and the latest innovations in enterprise AI development. Follow Agent Casimir on a journey through five essential developer capabilities, from intent-based development and pro-code tools to predictive AI, enterprise integration, and intelligent automation.

See how Joule Studio, SAP Business AI Platform, SAP Integration Suite, and SAP Business Data Cloud help developers move from ideas to working solutions. Explore how AI agents can access trusted business data, collaborate across systems, and support real-world applications, while developers stay in control of how solutions are built and extended.

In this session:
✨ Build AI agents with Joule Studio: Turn business requirements into working AI agents using intent-based development, with a live demonstration of an intelligent agriculture solution.
✨ Go from low-code to pro-code: See how developers can extend AI agents using Joule Studio CLI, Visual Studio Code, and AI-assisted coding tools to create connected applications.
✨ Unlock predictive intelligence with Tabular AI: Discover how Joule can use SAP S/4HANA data to predict missing values, recommend suppliers, and automate business actions.
✨ Connect AI agents to enterprise systems: Learn how SAP Integration Suite and SAP Enterprise AI Gateway enable secure access to SAP APIs through Model Context Protocol (MCP).
✨ Give AI agents deeper business context: Explore SAP BDC Ontology Manager, SAP Knowledge Graph, and SAP AI Core through a live Physical AI demonstration featuring Schrödinger, an intelligent robotic cat.

Whether you’re building your first AI agent or developing enterprise applications at scale, discover the tools, techniques, and community helping SAP developers turn ideas into business impact.

Speakers: Antonio Maradiaga – Developer Advocate, SAP, DJ Adams – Developer Advocate, SAP, Josh Bentley – Head of Community, SAP Global Marketing, Nora von Thenen – Developer Advocate, SAP, Rekha D R – Developer Advocate, SAP, Rich Heilman – Developer Advocate, SAP, Sheena M K – Developer Advocate, SAP, Shilpa Shankar – Developer Advocate, SAP, Witalij Rudnicki – Developer Advocate, SAP

Chapters:
00:00 – SAP TechEd 2026 Developer Keynote: Opening
02:32 – Mission Briefing: The Future of AI Development
05:34 – Connecting Legacy Systems with AI Agents
07:16 – Introducing Joule Studio and Intent-Based Development
09:05 – Demo: Building AI Agents with Joule Studio
12:52 – Testing AI Agents with SAP S/4HANA
16:29 – Extending AI Agents with Developer Skills
18:49 – Demo: Pro-Code Development with Joule Studio
21:06 – Building Multi-Agent Applications with SAP Data
28:40 – Predictive Intelligence with Tabular AI
29:01 – Demo: AI-Powered Predictions with Joule
33:43 – Extending ABAP Development with AI
40:20 – Demo: SAP Integration Suite and Enterprise AI Gateway
46:34 – Connecting AI Agents to Enterprise APIs
47:39 – SAP BDC Ontology Manager and Knowledge Graphs
49:19 – Physical AI Demo: Meet Schrödinger
51:31 – Predictive AI with SAP AI Core
54:26 – Five Essential Skills for AI Developers
55:38 – What’s Next for the SAP Developer Community

Explore SAP TechEd and discover more opportunities to build what matters: https://sap.to/6051BHlHVB

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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/6056BHlHVG

#SAPTechEd #SAPDevelopers #AgenticAI

We Build SAP: Meet the People Behind the Technology

SAP leaders, developers, advocates, architects, product experts, partners, and community members come together through a shared mindset: we build, we experiment, we learn, and we share.

This is how we build things that matter and shape the AI transformation in enterprise software.

See what the team is building: https://sap.to/6052BHkuup

Connect and engage with out community to get answers, discuss best practices, and continually learn more about SAP technology: https://sap.to/6053BHkuuV

Join us at SAP TechEd to broaden your technical expertise and explore the latest innovations in app development, integration, data, AI, and more: https://sap.to/6054BHkuun

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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/6059BHkuub

#SAPDevelopers #SAPCommunity #BusinessAI

SAP Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Cloud ERP for Finance

We are pleased to announce that SAP has been named a Leader in the 2026 Gartner Magic Quadrant for Cloud ERP for Finance*. We believe this recognition reflects our continued commitment to helping organizations build intelligent, connected finance functions that can deliver greater insight, efficiency, and business impact.

Today’s finance leaders are expected not only to report on business performance, but also to help shape it. They need a foundation that connects financial and operational data, supports end-to-end processes, and helps teams move from insight to action with speed and confidence.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SAP or at https://www.gartner.com/doc/reprints?id=00ThR00000NQq2cUAD&ct=261016&st=sb.

Recognized for cloud ERP for finance

For us, this recognition is about more than technology. In our opinion, it reflects the importance of a strong digital foundation that brings together financial and management accounting, operational context, trusted data, and embedded intelligence to help finance teams work more effectively.

Run your core operations with confidence using ready-to-run enterprise resource planning capabilities in the cloud

At the heart of SAP Cloud ERP is a unified data model and common journal that can connect financial information with the business processes behind it. We believe this approach can help organizations reduce reconciliation effort, gain a more multidimensional view of performance, and give finance teams the context they need to make informed decisions.

As the role of finance continues to evolve, we remain focused on helping customers simplify core processes while creating the foundation for new capabilities in automation and AI. This combination of connected data, processes, and intelligence is central to our vision for the future of finance.

Connecting financial and operational decisions

Finance transformation increasingly depends on connecting processes across the enterprise. By bringing together finance with purchasing, sales, inventory, and other operations, organizations can better understand what’s driving financial outcomes and address issues in context.

SAP helps bring financial and operational processes together across the enterprise. We believe this approach can help finance teams improve transparency, strengthen governance, and resolve issues earlier, including during the financial close.

AI is becoming an important part of that connected experience. Joule and SAP’s growing portfolio of persona-based assistants are designed to work within business processes and established controls. These capabilities can help finance professionals identify anomalies, automate selected activities, address exceptions, and focus their expertise on higher-value work.

Recent innovations announced at SAP Connect in 2026 build on this direction. New Joule Assistants for finance, SAP Enterprise Financial Consolidation, and SAP Pay are designed to connect data and workflows more closely while supporting the governance and auditability finance teams require.

Supporting customer transformation

BMW Group demonstrates how a connected finance foundation can support transformation at scale. Through its “Group Finance Backbone” initiative, the company worked with SAP to harmonize finance operations across manufacturing, sales, and financial services. BMW Group established one integrated finance template supporting organization-wide reporting, standardized approximately 800 ground-level processes, and improved data comparability and granularity across 15 major source systems.

We believe customer outcomes like these demonstrate the importance of combining standardized processes, trusted data, and central governance to help global organizations improve transparency and prepare for future innovation.

Building the future of finance

Finance leaders are balancing a growing range of priorities, from improving operational performance and managing risk to preparing their organizations for AI-powered innovation. SAP remains focused on helping them address those priorities with a unified foundation that connects data, processes, and people across the enterprise.

We are proud to be recognized as a Leader in this Magic Quadrant and remain committed to helping customers build finance organizations that are intelligent, connected, and ready for what comes next.

Learn more

To learn more about SAP’s position in the 2026 Gartner Magic Quadrant for Cloud ERP for Finance, download the complimentary report.


Lawrence Martin is general manager & chief product officer for SAP Finance & Spend.
David Imbert is chief marketing officer for SAP Financial Management.

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*Gartner, Magic Quadrant for Cloud ERP for Finance, 2026 by Mike Helsel, Irmina Melarkode, October 13, 2026

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

Joule Work: The New UI for AI | Overview

Joule Work is the new UI for AI: the one place for your people to direct the business and do their best work.

Bringing together insights, applications, and AI-powered assistance in a single experience, Joule Work is the primary way to engage with Joule Assistants and Joule Agents across your enterprise.

Four capabilities at the core:
→ Answer anything – fast, accurate answers to advanced business questions, spanning SAP and non-SAP data
→ Solve anything – reliable workflows at enterprise scale, orchestrating insights, apps, and agents in real time
→ Build anything – intent-based development with Joule Studio, for both business users and pro developers
→ Connect to everything – A2A and MCP interoperability across SAP and non-SAP systems

Governance is foundational. Agents act within user permissions, approvals, and controls. Your business runs within established rules. Your AI should too.

Learn more about SAP Joule Work:
https://sap.to/6055BG0Qhc

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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/6054BG0Qhs

#SAP #Joule #BusinessAI

EssilorLuxottica’s Digital Transformation Journey with SAP

EssilorLuxottica shares how SAP supports its global business processes and enables continuous innovation. From iconic brands to advanced eye care solutions, discover how cloud technology helps the company operate at scale and enhance customer and professional experiences worldwide.

Read to learn more: https://news.sap.com/?p=247588

00:00 – How is EssilorLuxottica using AI?
00:20 – What is EssilorLuxottica?
00:35 – SAP is driving EssilorLuxottica’s business processes
00:53 – Innovation by SAP
01:05 – EssilorLuxottica’s AI plans
01:14 – What’s next?

#SAP

Eyes on the Future—From Eyewear to Smart Wearables

Iconic and globally established brands owned by EssilorLuxottica—including Ray-Ban, Oakley, Varilux, and Crizal (lenses)—shape how millions of people see and experience the world.

With a global retail network that includes Sunglass Hut, LensCrafters, Vision Express, and Apollo, the company operates at the intersection of medical technology, consumer fashion, and retail.

From eyewear to smart wearables

In recent years, EssilorLuxottica has extended its brand into wearable technology, blending eyewear with digital capabilities. Smart glasses equipped with cameras, microphones, speakers, and integrated display technologies represent a new frontier where utility, lifestyle, and connectivity converge.

Governance, Risk, and Compliance in SAP S/4HANA Cloud Public Edition 2608 | Release Highlights

SAP S/4HANA Cloud Public Edition 2608 brings new Governance, Risk, and Compliance innovations to help organizations streamline VAT reporting, simplify e-invoicing error resolution, and improve international trade classification with AI-powered support.

In this release highlights video, an AI avatar representing Hiruni Badulle walks through the latest Governance, Risk, and Compliance updates delivered with SAP S/4HANA Cloud Public Edition 2608. See how new capabilities in SAP Document and Reporting Compliance and AI-powered trade classification can help organizations improve efficiency, accuracy, transparency, and regulatory compliance.

You’ll see how the new Manage External Tax Items capability supports consolidated VAT returns by incorporating tax items from external systems. This helps organizations bring SAP and non-SAP tax data together in a single VAT return, supporting a more complete and accurate reporting process. The capability is currently available for the UK VAT return, with support for additional countries planned in future releases.

The video also introduces the E-Invoicing Submission Error Resolution Agent in SAP Document and Reporting Compliance. This AI-powered feature turns technical invoice submission messages into clear guidance, explains why a rejection occurred, and recommends next steps to resolve it. For integration and connectivity errors, the agent can resolve issues autonomously. For business-impacting errors that require document or master data corrections, it guides users through the resolution process.

Finally, Hiruni highlights the International Trade Classification Agent, which helps organizations assign customs tariff numbers and commodity codes to products. The agent provides clear explanations for its recommendations, helping users understand and validate classifications while improving consistency, supporting compliance, and reducing manual effort across trade operations.

Highlights include:
📊 Consolidated VAT returns with external tax items — Include tax-relevant transactions from external applications in a single VAT return.

🧾 Manage External Tax Items — Extend VAT reporting beyond SAP systems and support standardized tax reporting across distributed landscapes.

🤖 E-Invoicing Submission Error Resolution Agent — Turn technical submission errors into clear guidance and recommended resolution steps.

⚡ Autonomous error handling — Resolve integration and connectivity errors automatically where possible.

🌐 International Trade Classification Agent — Recommend customs tariff numbers and commodity codes for product classification.

✅ Transparent compliance support — Provide clear explanations, improve audit readiness, and help reduce manual effort across tax and trade processes.

Chapters:
00:00 – Introduction to Governance, Risk, and Compliance highlights for release 2608
00:21 – Consolidated VAT returns with external tax items
00:36 – Manage External Tax Items capability overview
01:30 – E-Invoicing Submission Error Resolution Agent
01:51 – AI-guided error analysis and resolution recommendations
02:27 – International Trade Classification Agent
02:37 – AI-powered product classification for trade compliance
03:18 – Release 2608 summary and additional resources

• Read Hiruni’s blog on Governance, Risk, and Compliance release highlights in SAP S/4HANA Cloud Public Edition 2608:
https://sap.to/6059BG6tBx
• Explore SAP Community:
https://sap.to/6055CIrvT
• Learn more about SAP Cloud ERP:
https://sap.to/6056CIrvp

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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/6058BG6tBA

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The Pattern Emerging Across AI Transformations

For decades, enterprise transformation followed a familiar playbook. Digitize processes. Move to the cloud. Standardize operations. Then optimize them over time.

Those investments are critical. But they weren’t the finish line. They were the foundation. And today, they’re paying off in new ways as organizations adopt AI to drive measurable business outcomes.

Welcome to the Autonomous Enterprise

But there’s another part of that foundation which is becoming just as important: data. The organizations best positioned to compound their value from AI are those that have invested in data foundations that give AI the trusted business context it needs to reason, recommend, and act.

Now, in conversations with customers across the Americas and around the world, I’m seeing a new pattern emerge. The discussion is shifting from where AI can be applied to what happens when intelligence becomes embedded into the core of how the business operates.

While every transformation is different, three common shifts keep coming up.

1. From AI use cases to intelligent business processes

The first wave of AI adoption focused on proving value. Organizations identified high-impact use cases, delivered measurable results, and built confidence that AI could make a difference.

That work isn’t finished. But increasingly, customers are asking how intelligence can become part of the business processes employees use every day. We’re already beginning to see what this looks like in practice.

For example, HR Path Brazil, a Brazilian company specializing in recruiting and managing talent for international firms, is using Joule embedded in SAP SuccessFactors HCM to automate routine HR interactions. It is helping employees find the information they need faster while allowing HR teams to focus on more strategic work. The company has reported a seven percent reduction in standard HR support cases and two hours of HR support workload eliminated each week, which quickly adds up. It’s one example of how embedded and connected AI is becoming part of how work gets done.

2. From measuring AI use to measuring the business outcomes it creates

One of the biggest changes I’m seeing is how organizations define success. ROI is becoming a given and that is reflected in the data, especially in Oxford Economics research out just this week. It showed that organizations investing in AI expect to see an average return of 21% this year but increasing to 38% in two years. And as agentic AI continues scaling, it is projected to deliver $17.6 million in returns, more than quadrupling last year’s estimates (US$4.3 million).

This is allowing organizations to focus more on business outcomes from their AI. They are asking questions like can we shorten cycle times? Can we improve decision-making? Can we free employees to spend more time creating value? Can we become more resilient and responsive as a business?

This is an important shift because it changes the conversation from implementing technology to improving how the business performs.

3. From systems of record to the new operating system for the enterprise

The third shift is the one I believe will have the greatest long-term impact. For decades, enterprise software primarily captured transactions, standardized processes, and automated routine work. Now it’s beginning to help organizations anticipate change, recommend actions, coordinate work across functions, and increasingly execute routine decisions with human oversight.

That’s why I believe the Autonomous Enterprise represents more than the next phase of automation. It represents a new operating model for business.

Instead of people spending time connecting information across finance, supply chain, procurement, HR, and customer operations before deciding what to do next, intelligent systems can increasingly provide context, surface recommendations, orchestrate work, and help teams execute.

People remain firmly in control. But they’re supported by enterprise software that is becoming an active participant in how the business operates and executes, not simply a system that records what already happened.

Where we go from here

The organizations creating the greatest long-term advantage won’t just be the ones deploying the largest number of AI use cases. They’ll be the ones that use those early successes to rethink how work gets done across the enterprise.

The journey to the Autonomous Enterprise won’t happen overnight, and it won’t replace the need for strong leadership, governance, or talented people. If anything, those become even more important.

We’ll likely look back on today’s AI projects much the same way we now look back on the early days of cloud transformation; not as the destination, but as the foundation for a fundamentally new way of operating and innovating continuously.

The true winners from this shift will be the ones who continuously become more intelligent, more adaptive, and ultimately more autonomous.


Jan Gilg is a member of the Extended Board of SAP SE and global president of Customer Success & Americas.

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What Is ABAP Unit?

In 1998, Kent Beck designed the first unit testing framework that could be used to pro­vide common elements necessary for building and running automated unit tests.

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