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
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