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Key Takeaways What you need to know
  1. SAP and Google Cloud are shifting AI-powered customer experience from isolated pilots to integrated, agent-driven workflows that connect marketing, sales, and service with SAP S/4HANA, SAP Customer Experience and Google Cloud Gemini models.

  2. The biggest CX advantage will come from unifying SAP transactional data with Google Cloud data in SAP Datasphere, BigQuery and Cortex Framework, because better data integration improves AI accuracy, personalization, and real-time decision-making.

  3. This partnership matters most for CIOs, enterprise architects, CX leaders, and regulated industries, because open agent protocols, governance and security controls let enterprises deploy AI agents across SAP and hyperscaler platforms without exposing sensitive ERP data.

SAP is deepening its partnership with Google Cloud to build what both companies describe as the next generation of AI powered customer experience, combining SAP data and processes with Google Cloud’s Gemini models and infrastructure. For technology leaders, the collaboration signals a shift from isolated CX pilots toward integrated, agent driven experiences that span marketing, sales and service on top of trusted ERP data.

Open Agents Connect SAP Processes with Gemini Intelligence

At the heart of the joint strategy is an open agentic architecture where SAP’s Joule assistants and Google’s Gemini agents can cooperate across platforms through standards such as the Agent2Agent interoperability protocol. Instead of confining AI to a single suite, the partners are working on a model where agents can securely exchange context, hand off tasks and orchestrate workflows that touch SAP S/4HANA, SAP Customer Experience and Google Cloud services.

For day to day operations, this could mean a service agent beginning a case in an SAP engagement system while a Gemini powered bot analyzes interaction history, knowledge articles and non SAP data stored in BigQuery to recommend next best actions in real time. Marketing and commerce teams may use Joule to segment audiences based on SAP transactional data, then call Gemini models to generate channel specific content that stays aligned with enterprise policies and brand guidelines.

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The generative AI hub on SAP Business Technology Platform already offers access to Gemini 1.5 models and is expanding to include Gemini 2.0 Flash and Flash lite, giving customers a spectrum of performance and cost profiles for different use cases. Because the hub preserves SAP’s business context and security model, enterprises can prototype new CX scenarios without exposing sensitive ERP data directly to external APIs, a key requirement for regulated industries.

Integration, Data Strategy Define CX AI Success

The joint roadmap underscores that real CX differentiation will come from how well organizations integrate SAP and non SAP data, not from model choice alone. SAP Datasphere and Google Cloud Cortex Framework let customers combine S/4HANA and SAP Customer Experience data with telemetry, web interactions and external signals in a single analytics layer, which then feeds AI agents that can see across the full customer lifecycle.

For CIOs and enterprise architects, the evaluation criteria are shifting toward openness of the data cloud, support for bi directional integration via tools such as the ABAP SDK for Google Cloud and governance capabilities that keep AI grounded in accurate, explainable data. Successful adopters will also look closely at how Joule and Gemini can be aligned with existing identity, consent and security frameworks so that cross platform agents respect regional privacy rules and industry regulations.

Case studies from joint customers running SAP on Google Cloud already show financial benefits from this approach, including multimillion dollar savings in operations and improved working capital through AI driven optimization of procurement, invoicing and routing based on combined SAP and Google data. For CX leaders, that translates into more responsive service, faster resolution of billing and order issues and greater ability to personalize experiences without manually stitching data together.

What This Means for SAPinsiders

AI agents will span SAP and hyperscaler platforms.
Because SAP and Google are building on open agent protocols and shared data clouds, SAP customers should plan for CX agents that call both Joule and Gemini services within a unified governance model.

Data foundations become the primary CX differentiator.
The partnership shows that combining S/4HANA and CX data with BigQuery and Cortex Framework will matter more than picking a single model, pushing SAP programs to prioritize clean, connected data architectures.

Partner alignment will shape AI customer experience speed.
Enterprises that coordinate roadmaps across SAP, Google Cloud and integration partners will move faster from pilots to production, embedding AI into marketing, sales and service journeys without fragmenting security or compliance.

Events

29Oct
SAPinsider Summit New Orleans 2026New Orleans, Louisiana, United States
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