Unlocking SAP Innovation: Integrating Amazon Bedrock with SAP BTP for Generative AI

The race is on to unlock the potential of generative AI. Businesses are seeking faster, smarter ways to embed AI capabilities into their operations — without disrupting their core systems. Recognizing this opportunity, SAP and AWS are working together to bring powerful generative AI services directly into SAP environments, making it easier for organizations to innovate with confidence. 

One of the most significant developments in this space is the integration of Amazon Bedrock with SAP’s Generative AI Hub on the SAP Business Technology Platform (SAP BTP). This combination is poised to change how SAP customers build, deploy, and scale AI-driven applications across the enterprise. 

Why SAP and AWS Are Doubling Down on Generative AI 

SAP’s clean core strategy emphasizes modularity, scalability, and rapid innovation. To achieve this, SAP is opening its environment to best-in-class technologies that can complement its core applications without introducing complexity or technical debt. AWS’s Amazon Bedrock is central to this approach. 

Amazon Bedrock provides serverless access to a range of leading foundation models, including Anthropic’s Claude, Amazon’s Titan models, and others, through a single API. This enables businesses to experiment with multiple models without the heavy lift of managing underlying infrastructure. By bringing Bedrock into the SAP Generative AI Hub, SAP customers now have a streamlined, secure way to harness these models in business-critical scenarios. 

The collaboration between SAP and AWS reflects a shared understanding: to stay competitive, enterprises must be able to innovate quickly — and safely — with trusted AI services. 

How the Amazon Bedrock and SAP BTP Integration Works 

At the heart of this new capability is a joint reference architecture developed by AWS and SAP. SAP BTP acts as the intermediary, connecting SAP systems securely to Amazon Bedrock’s foundation models. Through the Generative AI Hub, businesses can orchestrate prompts, manage data flow, enforce compliance, and ensure outputs meet their enterprise standards, all without directly exposing sensitive SAP data to external systems. 

The workflow is simple yet powerful: 

• SAP BTP receives a request from an SAP application (e.g., S/4HANA or SuccessFactors). 

• The Generative AI Hub routes the request to Amazon Bedrock, which processes the prompt using the selected model. 

• The model’s response is returned through BTP back into the SAP application, enhancing the end-user experience or automating key processes. 

This architecture ensures that AI capabilities remain modular, scalable, and governed — core principles of SAP’s clean core philosophy. 

Real-World Applications and Use Cases 

The practical applications of this integration are already emerging across industries: 

• Finance: AI models can enhance financial forecasting by analyzing vast datasets in real time, identifying patterns and anomalies faster than traditional models. 

• Human Resources: Generative AI can deliver personalized engagement strategies, from custom career development plans to predictive attrition analytics. 

• Procurement: Organizations can automate supplier risk analysis and contract summarization, helping procurement teams make faster, more informed decisions. 

Because Amazon Bedrock offers access to multiple foundation models, businesses can tailor their AI use cases to fit specific needs, and switch models as new capabilities emerge. 

Key Benefits for SAP Customers 

Integrating Amazon Bedrock with SAP BTP offers several strategic advantages: 

• Faster innovation cycles: Businesses can build and deploy AI-enhanced applications without needing to rebuild or modify core SAP systems. 

• Scalability and flexibility: Organizations can select the right foundation model for each use case and evolve their strategy as their needs grow. 

• Enterprise-grade security: The architecture ensures data privacy and compliance, aligning with SAP’s rigorous enterprise standards. 

• Sustained clean core: By externalizing AI innovation through BTP, companies protect their core SAP environments from customization bloat. 

Together, these advantages allow SAP customers to embrace AI confidently while preserving the integrity of their digital foundation. 

The integration of Amazon Bedrock into SAP’s Generative AI Hub marks a turning point for enterprise innovation. It empowers organizations to bring generative AI into critical business processes while maintaining the principles of security, scalability, and a clean SAP core. 

What This Means for SAPinsiders 

Start with a focused, high-impact pilot. Enterprise investment in generative AI surged to $13.8 billion in 2024, a sixfold increase from the previous year, signaling a shift from experimentation to execution. To capitalize on this momentum, business technology decision-makers should start by identifying a high-impact, measurable use case — such as automating financial forecasting or enhancing procurement analysis — to pilot the integration of SAP BTP with Amazon Bedrock. Beginning with a targeted, focused initiative allows organizations to demonstrate quick value and build a strong internal case for broader generative AI adoption. 

Build governance, security, and compliance into your AI foundation. Despite 80% of companies utilizing generative AI, only 14% have a comprehensive overview of its usage, highlighting significant governance and compliance gaps. Organizations deploying SAP BTP and Amazon Bedrock should prioritize security and governance from the outset by engaging security, compliance, and SAP architecture teams early. Establishing a strong framework for prompt engineering, data flow monitoring, and output validation is critical to maintaining enterprise-grade standards and ensuring alignment with GDPR, HIPAA, and industry-specific regulations. 

Choose the right foundation models for your business needs. As of late 2024, Amazon Bedrock offers access to more than 100 foundation models, including serverless options and marketplace offerings, providing unprecedented flexibility. Organizations should carefully evaluate foundation models based on specific business requirements such as multilingual capabilities, domain expertise, and response time. By designing SAP BTP integrations with flexibility in mind, companies can avoid vendor lock-in, adapt to evolving business needs, and ensure they are consistently leveraging the best AI models available for their use cases.