SAP and Google Cloud Reshape Enterprise AI with Open Innovation and Multimodal Intelligence

As Artificial Intelligence rapidly redefines the future of work, SAP and Google Cloud are forging a powerful alliance to bring flexible, scalable, and business-contextual AI to the enterprise. Their deepening collaboration moves beyond enabling organizations to deploy more powerful models. They’re creating an AI foundation that is open, interoperable, and capable of transforming how businesses operate, collaborate, and innovate.

At the heart of this vision is a shared commitment to open agent collaboration, seamless access to leading AI models, and multimodal intelligence that delivers richer, more actionable insights. Together, SAP and Google Cloud are equipping organizations to build intelligent systems that work across vendors, platforms, and data types while unlocking new levels of agility and productivity.

Agent2Agent Protocol Lays the Foundation for Collaborative AI in the Enterprise

One of the most transformative elements of the partnership is the introduction of the Agent2Agent (A2A) interoperability protocol. As organizations increasingly rely on agentic AI—intelligent digital agents that perform tasks, assist users, and orchestrate workflows—the ability for these agents to collaborate securely across platforms is essential.

The A2A protocol goes beyond traditional API integrations and defines an open standard that enables AI agents from different vendors to share context and coordinate actions, ensuring seamless collaboration within complex enterprise workflows. Imagine a support representative handling a billing inquiry in Gmail: with A2A, they can invoke SAP’s Joule directly from their inbox. Joule then communicates with a Google AI agent integrated with BigQuery, accessing relevant transactional data and recommending a resolution—no manual toggling between systems required.

This kind of intelligent orchestration dramatically reduces operational friction, speeds resolution times, and allows employees to focus on high-value tasks. It also positions SAP’s Joule as a central hub in a broader, multi-vendor AI ecosystem, designed to support diverse input types—from text and images to voice and video.

Gemini Model Integration Expands Enterprise-Ready AI Options

Another key advancement is SAP’s integration of Google’s Gemini models within its generative AI hub on the SAP Business Technology Platform (SAP BTP). The inclusion of Gemini 2.0 Flash and Flash-lite expands the available options for low-latency, high-performance generative AI, building on existing access to Gemini 1.5.

This move gives enterprises more flexibility to match the right model to their specific workload, whether for summarization, document generation, or process automation, while maintaining the security and governance required for business-critical applications. The combination of SAP’s process expertise and Google’s AI innovation provides a reliable path for organizations to embed generative AI in ways that are aligned with real business needs.

Multimodal Intelligence Enhances Enterprise Learning and Support

The partnership is also unlocking new possibilities in enterprise learning through multimodal intelligence. SAP is integrating Google Video Intelligence and Speech-to-Text capabilities to enhance retrieval-augmented generation (RAG) workflows that incorporate video, audio, text, and images.

This allows organizations to extract valuable insights from previously untapped video content. For example, Google Cloud’s tools enable on-screen text detection and precise audio transcription, generating time-aligned metadata that lets users search and navigate directly to the most relevant moments in training or support videos. The result: faster access to knowledge, more effective training, and better-informed teams.

A Shared Vision for Enterprise AI

Together, SAP and Google Cloud are defining a new standard for enterprise AI—one that is open, composable, and deeply integrated with the way businesses operate. By embracing open protocols like A2A, offering broad access to cutting-edge AI models, and enabling multimodal learning experiences, the two companies are empowering enterprises to innovate with confidence.

What this means for SAPinsiders

Embrace open AI collaboration standards to drive interoperability. The introduction of the Agent2Agent (A2A) protocol by SAP and Google Cloud is a pivotal step toward enabling AI systems from different vendors to work together seamlessly. Business technology leaders should explore how open standards like A2A can reduce integration complexity, streamline workflows, and empower employees with more responsive, automated support. By adopting solutions that support cross-platform agentic collaboration, enterprises can future-proof their architecture and drive more agile, intelligent operations.

Leverage Gemini model access for tailored enterprise AI use cases. With the expanded integration of Google’s Gemini models into SAP BTP, businesses now have greater flexibility to match generative AI performance with their specific operational needs. Technology leaders should assess their current AI workloads and explore how Gemini 2.0 Flash and Flash-lite can support use cases like document summarization, knowledge generation, or customer service. Embedding these models in a secure, enterprise-grade platform like SAP ensures scalability while aligning outputs with business context and compliance requirements.

Unlock value from unstructured video content through multimodal learning. As video becomes a dominant format for support, training, and communication, SAP’s integration of Google Video Intelligence and Speech-to-Text offers a strategic opportunity to extract insights and improve knowledge access. Business decision-makers should evaluate how multimodal retrieval-augmented generation (RAG) capabilities can be used to enhance employee onboarding, enable smarter support experiences, and accelerate enterprise learning. Leveraging time-aligned metadata and searchable video content will increase the utility of existing knowledge assets and reduce time spent navigating complex materials.