Google Cloud and SAP have announced a partnership to help marketers move from isolated AI tools to fully integrated, agent-based execution across CX systems.
Introducing the partnership at Google Cloud Next in Las Vegas, the two vendors are connecting SAP CX and SAP Engagement Cloud with Google’s Gemini Enterprise Agent Platform, allowing marketers to access unified customer data and take real-time actions across tasks.
This partnership marks a shift from using AI for assistance to integrating it as an execution layer that drives end-to-end marketing activity in real time.
Balaji Balasubramanian, President and Chief Product Officer for SAP Customer Experience and Consumer Industries, aims to enable marketers to move from manual execution to orchestrating intelligent, real-time, multi-agent customer experiences at scale.
“This is more than a data integration; it’s a leap forward for AI agents that can collaborate naturally and execute seamlessly,” he said.
“By combining SAP Business Data Cloud Connect for Google with interoperable AI agents across SAP and Google Cloud, we’re giving organizations a path from AI experimentation to AI-enabled customer experience at scale.
“Marketers can spend less time on manual tasks and more time shaping the customer journey.”
The Gap Between Insight and Action
In recent years, operationalizing AI tools inside real customer systems has been a main challenge for organizations.
Whilst they can generate content, segment audiences, or analyze journeys with AI in isolated tools, many still struggle to connect those outputs directly to live customer engagement workflows, resulting in a gap between insight and action.
CX teams are often forced to work with fragmented data spread across CRM, commerce, and analytics platforms, making it difficult to deliver consistent personalization at scale.
With AI models frequently disconnected from execution systems, marketing decisions are still dependent on manual coordination across teams and channels.
In fact, SAP Engagement Cloud research reveals that fewer than 40% of businesses have connected customer engagement data to CX or CRM platforms, meaning this disconnect limits an AI’s ability to fully function within the marketing system.
As a result, marketing teams end up using AI for planning support or content ideation rather than for end-to-end campaign execution, with data latency, governance concerns, and integration complexity slowing down deployment.
This means that many organizations remain in a pilot phase rather than moving to production-scale AI-driven marketing operations.
Connecting Data, Orchestration, and Action
Google Cloud and SAP’s partnership aim to address this gap by providing a unified foundation for data and AI agents, connecting data, orchestration, and action.
With the integration spanning SAP CX, SAP Engagement Cloud, and Gemini Enterprise Agent Platform, this allows AI agents to operate across both SAP and Google Cloud’s data environments while maintaining governance and security.
From here, marketers can define business goals, and agents can then coordinate across systems to execute tasks end to end.
With SAP providing the customer data foundation and engagement workflows, whilst Google Cloud instils large-scale AI infrastructure and multimodal capabilities through Gemini, this positions the agent platform as a coordination layer.
This means that marketers can have campaign creation, audience segmentation, content generation, and performance optimization within a single automated loop.
The integration also changes how marketers can interact with AI, allowing teams to focus on defining outcomes and constraints instead of manually configuring campaigns or moving data between systems.
These AI agents can then generate creative assets, personalize messaging, and adjust campaigns based on live performance signals, creating a feedback loop where campaigns continuously refine themselves based on current customer behaviors, inventory signals, and channel performance data.
Kevin Ichhpurani, President for Global Partner Ecosystem at Google Cloud, explains how businesses need to ensure their systems are integrated and interoperable so data and AI agents can work together seamlessly across platforms.
“To realize the full potential of agentic AI, businesses need their systems to speak the same language,” he said.
“By uniting SAP’s enterprise data and customer engagement platform with Google Cloud’s AI, we’re enabling marketers to move beyond simple automation to multi-agent orchestration, driving dynamic campaigns that reason and adapt to market shifts in real time.”
Moving AI Into the Execution Layer
The SAP and Google Cloud collaboration reflects an architectural shift in which AI is part of the execution fabric of customer engagement.
By shifting AI from a support tool to an execution layer, agent-based systems embedded in core CX infrastructure bring AI closer to operating within the transaction and engagement layer itself.
For CX, this shift reduces the delay between insight and action, enabling systems to respond in near real time rather than analyzing customer signals and planning campaigns separately.
This changes marketing from a sequence of planned activities into a continuously adapting system that can autonomously execute, optimize, and personalize customer engagement in real time.
