Salesforce and Google recently announced a major expansion of their strategic partnership, delivering choice in the models and capabilities that companies use to build and deploy AI-powered agents.

The AI landscape is evolving so rapidly that companies are struggling to keep up with innovations like autonomous agents.

This expanded partnership provides crucial flexibility and empowers customers to develop tailored AI solutions that meet their needs, rather than being locked into a single model provider.

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Google Cloud is at the forefront of Enterprise AI, with millions of developers using its groundbreaking Gemini models and AI-optimized infrastructure

This expanded partnership allows Salesforce customers build Agentforce agents with Gemini and deploy Salesforce on Google Cloud.

It builds on their existing collaboration, enabling seamless data sharing between Google BigQuery and Salesforce via zero-copy technology.

This gives companies the AI, data, and trust they need to integrate autonomous agents into their operations.

“Through our expanded partnership with Google Cloud and deep integrations at the platform, application and infrastructure layers, we give customers choice in the applications and models they want to use,” says Srini Tallapragada, Salesforce President & Chief Engineering and Customer Success Manager.

“Salesforce offers a complete enterprise-class AI platform that makes it easy to easily deploy new capabilities and realize business value quickly. Google Cloud is a pioneer in Enterprise Agentic AI, offering some of the most powerful, capable models, the agents and AI development tools on the planet. Together, we are creating the best place for businesses to scale with a digital workforce.”

“Salesforce’s selection of Google Cloud as a major infrastructure provider means that enterprise customers can now deploy some of their most critical applications on our highly secure, AI-optimized infrastructure—with minimal friction,” said Thomas Kurian, CEO of Google Cloud.

“Our mutual customers have asked us to be able to work more seamlessly across Salesforce and Google Cloud, and this expanded partnership will help them accelerate their AI transformations with agentic AI, cutting-edge AI models, data analytics, and more.”

“At Wayfair, we are deeply committed to using data and AI to create exceptional customer experiences,” said Fiona Tan, CTO of Wayfair. “The Salesforce and Google Cloud Partnership, particularly the availability of Salesforce on Google Cloud Infrastructure and the integration of Agentforce and Gemini, offers powerful new capabilities to personalize interactions and empower our teams to better serve our customers.”

Why it matters

Agentic AI is not just growing, it is already here and represents a $2 trillion market opportunity, according to a study from Salesforce.

84% of CIOs believe AI will be as significant to businesses as the internet. To fully realize this potential, businesses need an agentic approach with transparency, trust, and choice at its core.

This includes:

• Data: Highly secure and unified access to all your data, no matter where it resides, with a zero-copy architecture and enriched metadata for deeper insights. This breaks down data silos across platforms so customers don’t have to sacrifice choice for an integrated experience, unlike solutions that silo data access or require users to bundle together disparate solutions.
• AI: Unparalleled choice and flexibility with leading AI models, including predictive, generative and multimodal options, enabling companies to tailor solutions to their specific needs and avoid being locked into a single vendor’s AI capabilities.
• Trust: A multi-layered approach to protecting your data and infrastructure with encryption, data residency options, and a choice of infrastructure providers. Additionally, robust guardrails, bias detection, explainability, and toxicity checks are built in to ensure responsible AI development and deployment.
• Actions: Seamless integration of automation, analytics, and applications across platforms to streamline workflows and drive efficiency across the organization. This enables companies to maximize the impact of AI agents by connecting them to their existing tools and systems, unlike solutions with limited integrations or closed ecosystems.

Data: Real-time responses in Agentforce with Google search

AgentForce will be able to leverage the foundation of Google search through Vertex AI, which is built on the Secure Data Foundation established through the zero-copy partnership between Salesforce Data Cloud and Google BigQuery.

This integration empowers Agentforce agents to reference up-to-date data, news, current events, and credible quotes, significantly improving their contextual awareness and ability to deliver accurate, evidence-based answers.

For example, in supply chain management, an agent-powered agent can track shipments, monitor inventory levels in Salesforce Commerce Cloud, and proactively identify potential disruptions using real-time data from Google Search, including weather conditions, port congestion, and geopolitical events. Availability is expected in the coming months.

AI: Unlocking the Power of Choice and Flexibility with Gemini and Agentforce

Businesses need the freedom to choose the best models for their needs rather than being locked into one vendor. By 2025, Google’s Gemini models will also be available for rapid building and reasoning directly within Agentforce.

With Gemini and Agentforce companies will benefit from:

• Multimodal Agents: Gemini’s native multimodality allows agents to “see” and interpret the world, allowing AI to recognize images (such as error codes) and detect emotions in voice. Integrating this into Agentforce creates smarter agents that respond to audio, video, and text.
• Expanded contextual understanding and reasoning: Gemini's 2 million-Token context window allows agents to retain and reference massive amounts of information, such as entire codebases, years of customer interactions, or product documentation.
• Increased speed and efficiency: Google’s Tensor Processing Units (TPUs), combined with advanced technologies like those used in Google’s NotebookLM, enable Gemini to process and understand information with exceptional speed and efficiency, providing real-time answers to even complex queries. This translates into faster response times and reduced operational costs.

For example, an insurance customer can file a claim with a witness's photos of the damage and an audio voice message.

AgentForce, with Gemini, can then help the insurance provider deliver better customer experiences by processing all of these inputs, evaluating the validity of the claim, and even using text-to-speech to contact the customer with a resolution, streamlining the traditionally lengthy claims process. Availability is expected this year.

Trust: Salesforce platform used on Google Cloud

Customers will be able to leverage Salesforce's unified platform (AgentForce, Data Cloud, Custom

Features such as dynamic grounding, zero data retention, and toxicity detection provided by the Einstein Trust layer.

When Salesforce products are available on Google Cloud, customers will also have the ability to acquire Salesforce offerings through the Google Cloud Marketplace, opening new opportunities for global enterprises to optimize their investments across Salesforce and Google Cloud, benefiting thousands of existing joint customers.

Action: Improved employee productivity and customer service with AI-powered integrations

Millions use Salesforce and Google Cloud daily. This partnership prioritizes choice and flexibility, enabling seamless platform work.

New and deeper connections between platforms like Salesforce Service Cloud and Google Cloud customer engagement suite and Slack and Google Workspace will empower AI agents and service representatives with unified data access, streamlined workflows, and advanced AI capabilities, regardless of platform.

Salesforce and Google Cloud deeply integrate their customer service platforms – Salesforce Service Cloud and Google Cloud’s customer engagement suite – to create a seamless and intelligent support experience.

Expected later in years, this unified approach provides AI -agents in service cloud with:

• Real-time voice translation and sentiment analysis: Google Cloud AI in Service Cloud will enable real-time voice translation that breaks down language barriers. New agent assistant capabilities within Service Cloud Desktop will analyze tone of voice and audio codes for deeper customer sentiment.
• Agent-to-agent intelligent handoffs: Across all channels, virtual agents built on Google Conversational Agents will be able to seamlessly connect to Agentforce in Service Cloud to more efficiently manage multi-step, customer interactions. Salesforce and Google Cloud are also exploring deeper integrations between Slack and Google Workspace, increasing productivity and creating a more cohesive digital workspace for teams and organizations. The companies are currently exploring use cases such as:
• The ability for users to leverage enterprise search in Slack to access and act on files in Google Drive.
• The ability to more easily share information between Gmail and Slack, improving communication and knowledge sharing.

The result is a more connected and productive work environment, where companies can choose the best tools for their needs from employee productivity to customer service while

benefit from a seamless and intelligent workflow across platforms.

Expand partnership features and integrations

This partnership goes beyond core product integrations to deliver a more connected and intelligent data foundation for businessThis is just the beginning; Salesforce and Google

Cloud is committed to ongoing innovation and deeper collaboration to empower businesses with even more powerful solutions. Expected availability in 2025.

• Deeper integrations across Data Cloud, BigQuery, and Cortex Framework will make it easier than ever for customers to securely mark their AI agents across all of their enterprise data.
• New Native Tableau, Looker and BigQuery integration enables customers to manage and visualize business data across all platforms in a single user interface with standardized business logic and data definitions.