SAP & Google Cloud: Enabling faster value and smarter innovation for business excellence

SAP and Google Cloud are deepening their collaboration across data analytics, AI, security, and more to deliver what customers need most: faster paths to business value, lower risk on complex projects, and smart, enterprise-ready innovation that’s built to serve real workloads — not hypothetical use cases.

At SAP Sapphire 2025, Google Cloud are excited to highlight multiple updates that will simplify how customers access SAP data with BigQuery, power new AI agents and capabilities with Gemini and Agentspace, and bring Google Cloud’s leading infrastructure to SAP customers’ most demanding workloads. 

AI collaboration that drives business value

AI is at the core of work between SAP and Google Cloud. Today, Google Cloud highlighting innovations that will help enterprise customers bring our leading AI technology to SAP data and systems, enabling measurable impact without rebuilding everything from scratch. 

• Building AI-powered applications: The Vertex AI platform provides full access to leading foundation models, an SDK for SAP's ABAP language, and Model Garden: a single place to search, discover, and interact with models from Google and Google partners with pre-integrated models. For SAP customers, these capabilities include improving business processes like invoice resolution, enabling generative AI chatbots that provide faster, more accurate customer service experiences, and generate personalized marketing content — all with data from SAP systems. 

• Bringing Gemini to SAP Joule: SAP continues to build and refine Joule, its native agentic intelligence layer that enables AI-powered agents to operate across SAP applications. Now, with the addition of newer Gemini models embedded into the SAP’s Generative AI Hub on SAP Business Technology Platform (BTP), those agents can leverage Google Cloud’s most advanced language models to power more intelligent, autonomous behavior. With 10 SAP BTP regions available on Google Cloud globally, customers can now utilize these capabilities to scale AI agent applications that comply with enterprise requirements for governance, data locality, and operational control. 

• Accessing SAP data in Agentspace: Google Agentspace unifies access to enterprise agents and applications including SAP agents, offering users a single place to streamline task automation and secure enterprise knowledge access across various systems, applications, and data formats. This empowers employees to leverage enterprise intelligence within their current tools, regardless of its location, including in popular partner CRM, IT, and data platforms. Accessing SAP data in Agentspace improves access to AI agents, structured and unstructured data, and contextual recommendations, all within the employee's existing environment. 

• Enabling Agent2Agent interoperability: SAP supports and is contributing to Google Cloud’s Agent2Agent (A2A) interoperability protocol, which enables AI agents across platforms to securely exchange information, share context, and work together to achieve business outcomes. For example, an SAP orchestrator can utilize A2A to trigger a Vertex AI agent using BigQuery with full context, replacing manual, brittle integrations with autonomous, standards-based collaboration.

• AI-powered SAP operations with Gemini: As customer adoption of RISE with SAP continues to grow, SAP and Google Cloud are partnering on AI co-innovations to deliver faster, more intelligent SAP operations at scale. As part of this effort, we have co-developed specialized AI agents with SAP, powered by the latest Gemini models, to prevent outages, optimize performance, and accelerate troubleshooting.

As an example, AMD is leveraging Google's AI capabilities to improve user experiences with SAP. The company developed several gen AI chatbots that allow finance, HR, and customer service teams to use natural language to find the information they need from SAP systems. One customer operations chatbot pulls data related to order scheduling and deliveries to help answer customers' questions quickly, while a finance chatbot built with Vertex AI and Cortex Framework helps accelerate cash-flow forecasting.

Unlock and enrich the value of enterprise data

Enterprise data is only truly valuable when it’s connected, current, and actionable. Customers can leverage the speed of BigQuery, enhanced by Cortex Framework, to accomplish this. Cortex provides prebuilt models for key systems (like SAP, Google Ads, and other enterprise data sources), simplifying connections to disparate data and integration of real-time signals. This serves to build a reliable data model from your existing truth that’s ready for BigQuery's native ML to help you proactively act on opportunities, enhancing AI readiness, analytics, and operational agility.

Suzano, the world's largest pulp company and a Google Cloud RISE with SAP customer, uses Cortex to centralize its vast operational data, which was previously difficult for its global workforce to access. The company then developed a gen AI tool that translates employees' natural language questions into SQL queries, allowing non-technical users to easily retrieve insights from their SAP data. This significantly democratized data access, led to a 90% reduction in data consultation time, and enabled faster, more informed decision-making across the organization.

SAP and Google Cloud are continuing to jointly engineer data integrations between SAP source systems and BigQuery using SAP Business Data Cloud, making SAP data instantly available for AI, analytics, and visualization — without moving workloads off SAP. Customers can build new intelligence pipelines using tools they already know and with data they already trust.

Leading infrastructure for SAP workloads

Choosing the right cloud infrastructure is critical for your SAP systems. Google Cloud now offers new SAP-optimized virtual machines (M4 and C4D families) designed to directly boost your business performance and efficiency. M4, generally available, offers the most performant memory-optimized VM Compute Engine instances, with up to 127% better performance at 36% better TCO compared to previous generations. This means you can run your core SAP workloads significantly faster while reducing costs. 

Google Cloud infrastructure is designed from the ground up for exceptional reliability and security, now supporting industry-leading single instance 99.95% uptime service level agreement (SLA) to minimize disruption to your business critical operations. Plus, with our expanded large-scale X4 instances, you can operate even your most demanding S/4HANA environments under RISE confidently at enterprise scale, ensuring your IT foundation scales with your business ambitions, not against them.

Enhancing security and compliance

Google Cloud safeguards your critical SAP systems and valuable business data through a comprehensive, multi-layered approach to security, starting with secure-by-design global infrastructure and data encryption by default, to reduce risk from the get-go. This is enhanced by Google Unified Security which provides precise access controls, continuous monitoring, and centralized security management, for proactive threat visibility across your SAP landscape. For sensitive SAP workloads, especially in the public sector, Google Cloud enables compliance through the differentiated Assured Workloads control platform, which is supporting ITAR for SAP Ariba and RISE with SAP. This combination of Google Cloud solutions helps ensure compliant operations while enabling rapid detection, investigation, and neutralization of sophisticated threats, to minimize impact on the business and enhance operational resilience.

What’s next: Learn, try, build

SAP customers seek clear wins: faster time to value, simplified architectures, and improved utilization of their existing data and systems. This is precisely what SAP and Google Cloud are building together. We expect Google Cloud to deliver even greater value in 2025 and beyond with our advanced enterprise AI and planet-scale cloud infrastructure.