Discover 8 SAP BTP Generative AI Tools & Real-Life Use Cases (original) (raw)

SAP is expanding its generative AI capabilities through the SAP BTP platform to support enterprise use cases.

Learn about the structure of SAP’s Generative AI Hub, its supporting tools, and real-world benefits for enterprises:

Figure 1: Generative AI Hub architecture 1

What is SAP BTP Generative AI hub?

The SAP Generative AI hub facilitates the development of AI-powered extensions and applications on the SAP Business Technology Platform (BTP). This hub grants access to various large language models (LLMs) from multiple providers. Its integration involves several steps:

• Creating an SAP AI Core service instance
• Configuring an LLM referencing a provider-specific executable
• Deploying the configuration via the SAP AI Launchpad UI or the SAP AI Core APIs.

Once deployed, SAP AI Core generates a unique URL for accessing the LLM, enabling the infusion of generative AI capabilities into applications.

SAP BTP also helps integrating these LLMs into other SAP-certified tools and apps (e.g Redwood and SAP), such as:

• SAP job schedulers
• SAP process orchestration tools
• SAP utility solutions
• SAP meter-to-cash process technologies.

8 SAP BTP GenAI hub components

2 GenAI hub components to manage AI deployments

As it can be seen in Figure 2 below, the hub consists of two main components:

1. SAP AI Launchpad is a platform within the AI Hub in SAP that facilitates deployment and management of AI models. It allows users to configure and instantiate AI deployments across SAP business applications.
2. SAP AI Core infrastructure refers to embedded generative AI solutions and services. SAP AI core integrates to Kubernetes infrastructure, proxies and AI workloads to manage AI model lifecycles and improve global SAP solution implementations.

Figure 2: The SAP BTP generative AI architecture 2

3 Tools & services in the GenAI hub

SAP BTP generative AI hub offers some features and services, which are listed as:

SAP BTP improves its Document Information Extraction service with generative AI capabilities. The new premium version’s features include:

• Automated extraction of unstructured data by specifying required fields or providing document files to the Document API
• Automatic upgrading of the documents by matching the document with extra information via enrichment data API
• Multilingual support for over 40 languages
• Elimination of manual annotation and resource-intensive machine learning training.

Here is a brief video explaining the capability:

4. Joule Copilot

Joule is SAP’s AI copilot that enhances productivity with contextual insights and handles isolated tasks like retrieving data, extracting insights, and answering queries independently.

Joule extends SAP AI capabilities by coordinating intelligent agents to carry out full business processes. Domain-specific SAP AI agents enable precision automation across finance, supply chain, and more.

• Low-code/no-code skill creation: In Q4 2024, Joule Studio released a low-code/no-code platform for creating and managing custom AI skills without extensive programming.
• NLP support: By Q1 2025, Joule will expand NLP capabilities and enable developers to extend AI agents for specific business needs.
• Agent orchestration: Multiple AI agents can coordinate to execute multi-step workflows across SAP and third-party applications. Agentic orchestration allows Joule to:
  • Perform multi-step strategic analysis by combining internal S/4HANA data with external market intelligence and web-based resources to generate comprehensive reports.
  • Integrate with Microsoft 365 to enable triggering Joule’s ERP actions (like approving a discount or checking credit limits) directly from within Microsoft 365 Copilot (Outlook/Teams), creating a unified AI experience across the enterprise.

5. SAP Build Code

SAP Build Code is a comprehensive code development solution powered by generative AI, designed to streamline application lifecycle management and foster collaboration between technical users, citizen developers, and business analysts. It supports low-code, Java, JavaScript, and ABAP development environments, catering to both technical developers and citizen developers.

SAP Build Code’s key features can be listed as:

• Code Development:
  • Generates code and application logic for SAP-centric programming models.
  • Designs data models with the help of Joule Copilot’s assistance.
  • Automates QA with unit test generation.
• Integration and Services:
  • Leverages prebuilt integrations, APIs, and business services via the SAP Service Center.
  • Integrates with SAP BTP to ensure authentication, authorization, and data protection compliance.
• Fusion Development:
  • Encourages collaboration by sharing application components like user interfaces and business logic across teams.
• AI-Enhanced Capabilities:
  • Incorporates SAP’s Joule Studio to create and manage custom AI skills, with further expansions planned for autonomous processes.

With the integration of Joule Studio, SAP Build Code is expected to expand its capabilities for creating and managing custom AI skills and extend its functionality for autonomous processes.

Here is a video introducing the tool:

3 Tools & services outside of the hub

6. Cloud Vector Engine

SAP HANA Cloud now supports vector embeddings, allowing advanced AI features in enterprise data environments. By running SAP Hana cloud vector engine, the users can:

• Achieve high-performance application development
• Implement semantic and similarity search techniques for documents like contracts
• Deliver personalized recommendations
• Enrich LLM outputs with contextual data for enhanced effectiveness.

7. SAP Analytics Cloud

SAP Analytics Cloud is a comprehensive analytics and planning solution designed to maximize the value of investments in critical business applications and data sources. It integrates with SAP BTP to establish a centralized data warehouse, enabling reporting and planning. Features include:

• Trusted AI integration with generative AI like Joule Copilot for automating reporting and uncovering insights
• Mission-critical analytics with industry-specific content
• Enterprise planning transformation for collaborative financial, supply chain, and operational planning.

8. SAP Cloud ALM Solution

SAP Cloud ALM (Application Lifecycle Management) can manage the complete lifecycle of SAP applications in the cloud. SAP Cloud ALM supports the entire application lifecycle from planning through to deployment and ongoing operations, managing requirements, testing, change management, deployment, and operations of SAP systems.

Some of the ways SAP BTP generative AI hub tools can be deployed in businesses include:

Explore the Generative AI Hub, a central tool on SAP BTP, for securely developing generative AI applications. It provides access to various large language models and supports the creation, monitoring, and orchestration of AI scenarios. Tools include prompt engineering, experimentation through a playground, and access to code libraries and SDKs.

SAP BTP Services that can be used:

• Generative AI Hub: Central management for AI scenario creation and monitoring.
• SAP AI Core: Provides AI capabilities for development and deployment.
• SAP S/4HANA Cloud and SAP HANA Cloud: Integrated for data and application management.
• CAP (Cloud Application Programming Model): Simplifies application development.
• SAP Build Apps: Supports application lifecycle management.

Figure 3: SAP BTP Generative AI social media integration. 3

Embedding Business Context with SAP HANA Cloud Vector Engine

Discover the SAP HANA Cloud Vector Engine, which grounds models for relevant outcomes by aligning responses with business context. It helps eliminate inaccuracies and improves the relevance of data outputs.

SAP BTP Services that can be used:

• Generative AI Hub: Manages and orchestrates AI models.
• SAP HANA Cloud: Supports AI-driven, multi-modal business queries.
• SAP AI Core: Integrates AI capabilities for enhanced data processing.

Generative AI-based code development with Joule in SAP Build Code

Explore “capGPT” in SAP Build Code for enhancing development productivity through automatic code generation based on the CAP model. It simplifies the coding process and improves efficiency in application development.

SAP BTP Services that can be used:

• SAP Build Code: Provides tools for application development and lifecycle management.
• Joule: Generative AI tool for code generation and automation.
• CAP (Cloud Application Programming Model): Simplifies application development and integration.

Bringing Open-Source LLMs into SAP AI Core

Integrate popular open-source Large Language Models (LLMs) into SAP AI Core to enhance data privacy and foster innovation within the LLM community. This approach provides flexibility and scalability tailored to specific business needs.

SAP BTP Services that can be used:

• SAP AI Core: Integrates open-source LLMs for enhanced AI capabilities.
• SAP Generative AI Hub: Manages and orchestrates AI models.
• Open-Source LLMs (Phi 3, LLaMa 3, Mistral, etc.): Provides alternative AI models for specific business use cases.

Automating troubleshooting with SAP AI

The Generative AI Hub on SAP BTP automates root cause analysis, enabling teams to identify issues, receive recommendations, and resolve orders more efficiently.

SAP BTP Services that can be used:

• Generative AI Hub: Central management and orchestration of AI scenarios for supply chain analysis.
• SAP AI Core: Provides AI capabilities to process and analyze complex sales order data.
• SAP S/4HANA Cloud and SAP HANA Cloud: Integrated for access to order, inventory, and allocation data.
• CAP (Cloud Application Programming Model): Simplifies development of AI-driven applications for internal teams.
• SAP Build Apps: Supports building and deploying conversational interfaces for supply chain specialists.

Real-life example: AMD

AMD’s supply chain specialists previously spent 20–30 minutes per order investigating changes with up to 14 manual checks. AMD integrated SAP S/4HANA via SAP BTP to resolve order issues through conversational AI insights on commitments, allocations, and shortages.

Results:

• Reduced manual order processing efforts by 90%
• Analyzed >10,000 orders per year automatically
• Saved 3,120 hours of headcount productivity annually
• Accelerated response to supply chain disruptions
• Enhanced employee efficiency and job satisfaction
• Improved customer service and operational transparency.4

Top 4 Benefits of using GenAI in SAP

Some of the benefits SAP BTP Generative AI hub offers include:

1. Model selection: SAP with genAI capabilities systematically selects models based on accuracy, latency, and operational needs. It utilizes offerings from AI partners like Microsoft Azure, Google Cloud Platform, and AWS, along with open-source platforms.
2. Compliance and Integration: GenAI can help with compliance, trust, and integration into business applications by standardizing and delivering common programming models to expedite innovation.
3. Context integration: These features can integrate business context into LLMs to enhance efficacy, leveraging extensive data assets in SAP.
4. Accessibility: LLMs are useful for both developers and non-developers which increases accessibility to systems.

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Recent developments in SAP Generative AI hub

SAP has introduced improvements to its generative AI hub, enhancing efficiency, customization, and scalability. Key updates include:

1. Enhanced development capabilities:
   • Customization of pre-trained AI models for specific business needs using a guided process.
   • Simplified integration to accelerate innovation and deliver effective AI-driven solutions.
2. Integration tools:
   • New SDK support for ABAP, Java, and JavaScript for easier embedding of AI features in web applications.
   • ABAP AI SDK integration to incorporate AI capabilities into SAP S/4HANA Cloud custom applications.
3. Model advancements:
   • Enhanced document grounding capabilities and vector database integration.
   • Availability of new models by 2026:
     * Aleph Alpha Pharia-1 for advanced NLP tasks,
     * Amazon Titan Image Generator for image generation within business apps,
     * IBM Granite for structured data and document processing,
     * Mistral Large 2 as an open-source model with high performance,
     * OpenAI Dall-E 3 for visual content creation.

FAQs

SAP BTP stands for SAP Business Technology Platform, a comprehensive environment merging data and analytics, artificial intelligence, application development, automation, and integration. It’s designed as an optimal platform for SAP applications operating in the cloud. SAP BTP enables businesses to integrate and expand their SAP solutions, refining their operational workflows while preserving the integrity of their core systems.

Generative AI models leverage existing text, audio, or images to produce fresh content by discerning underlying patterns. Unlike conventional AI, which tackles problems with singular answers, generative AI aims at creativity and diversity in outputs. Key techniques include:

Transformers: Models like GPT-3, LaMDA, Wu-Dao, and ChatGPT employ cognitive attention and differential significance measurement to comprehend and generate language or images from vast datasets.
Generative adversarial networks (GANs): GANs compete to produce data resembling the source while discerning between real and generated data.
Variational auto-encoders: Encoding inputs into compressed representations, these models decode to reproduce the original data, offering a compact representation of input data distribution when trained effectively.

Further reading

Learn more about other tools that can be implemented together with SAP BTP through our data-driven benchmarks:

• Top Workload Automation Tools: Vendor Benchmark
• Compare IT Orchestration Tools: 5,000+ Reviews & Features
• Top IT Automation Software: Vendor Benchmarking

Cite this research

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Hazal Şimşek (2026) - "Discover 8 SAP BTP Generative AI Tools & Real-Life Use Cases". Published online at AIMultiple.com. Retrieved March 19, 2026, from: https://aimultiple.com/sap-btp-generative-ai [Online Resource]

Şimşek, H. (2026, March 19). Discover 8 SAP BTP Generative AI Tools & Real-Life Use Cases. AIMultiple. https://aimultiple.com/sap-btp-generative-ai

@misc{imek2026, author = {Şimşek, Hazal}, title = {{Discover 8 SAP BTP Generative AI Tools & Real-Life Use Cases}}, year = {2026}, month = mar, howpublished = {\url{https://aimultiple.com/sap-btp-generative-ai}}, note = {AIMultiple. Retrieved March 19, 2026} }

Hazal Şimşek

Industry Analyst

Hazal is an industry analyst at AIMultiple, focusing on process mining and IT automation.

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