Salesforce and Google Cloud Enable AI Agents to Act Across Both Platforms with Deep Context and End-to-End Workflows
CRM
Published on 04/22/2026 at 01:06 pm EDT
Salesforce and Google Cloud announced an expanded partnership that will enable AI agents to execute end-to-end workflows across both platforms by solving the long-standing challenge of fragmented data and disconnected systems. With new integrations across Salesforce and Google Cloud, customers can deploy AI agents in tools like Slack and Google Workspace, while Agentforce and Gemini Enterprise provide the intelligence and context behind the scenes. This allows agents to work across systems, reduces risky data movement, and eliminates time lost to context switching. Under the expanded partnership, the two companies will also develop new features that will make it simpler for customers to transition from manual oversight to autonomous operations ?
letting employees collaborate where the work is already happening, and using their tech stack to execute complex workflows. These integrations bring Google Cloud and Salesforce together across every layer of the Agentic Enterprise ? the systems of context, work, agency, and engagement that turn raw intelligence into enterprise work.
The modern workday is governed by a hidden toggling tax that costs the average employee two hours of productivity every single day. A security escalation surfaces in Slack, context lives in a Google Doc, approvals sit in Salesforce, and stakeholder alignment happens over email. Instead of patching together point solutions, companies can now build an interconnected system of engagement that enables teams to move faster across the business and turn ideas into agentic action, all from the same conversation.
Key integration features: Slack and Google Workspace: Users can instantly turn any request into polished Google Workspace content simply by asking Slackbot. When prompted, Slackbot will pull relevant Slack and Google Workspace inputs like Slack Threads, Google Slides, Docs, Sheets, or PDFs, structure the information intelligently, and deliver a ready-to-share file, eliminating the gap between finding, creating, and presenting information. Gemini Enterprise in Slack: Gemini Enterprise is directly accessible within Slack, acting as a powerful search and assistant tool capable of accessing connectors and related information from across your apps (e.g., it can summarize a Google Meet transcript alongside a Slack thread).
Agentforce Sales in Gemini Enterprise: Agentforce Sales agents can engage leads, create meeting briefs, surface deal risks and guidance, manage pipeline and CRM updates ? securely and in real-time ? without ever leaving Gemini Enterprise.
By automating manual tasks, sellers can focus on relationship building and closing deals. Expanding agentic context: optimized security, deep intelligence & zero-copy data. The backbone of this partnership lies in the system of context ?
the underlying architecture that connects the world's most advanced AI models with enterprise-scale data. Salesforce and Google Cloud are making it easier for AI to use all your data right where it lives, so you don't have to worry about security or costly data migration. From CRM records and customer signals, to Google Workspace activity and BigQuery warehouses, these data connections allow agents to deliver results at scale that were previously out of reach.
Key advancements: Gemini-powered reasoning for Agentforce: Agentforce natively supports Gemini models via the Atlas Reasoning Engine. This enables Agentforce to 'see' across text, image, and video formats, drawing from years of customer history to accurately solve complex problems. This means faster, smarter resolutions, building upon the 1,400+ customers already experiencing success from Gemini within Agentforce to build prompts. Zero copy with Google Lakehouse: Customer data can stay where it is.
Agentforce will be able to natively read data from Google Lakehouse, with no copying, moving, or security risk. This means a single compute layer with quality performance no matter how large the dataset gets, building on the Zero Copy technology already trusted by hundreds of customers across Data 360 and Google BigQuery. IDMC expanded governance and multi-source connectivity: Unlock real-time insights (like fraud prevention and predictive marketing) and enforce security guardrails more efficiently with new data connectors that push down Informatica data security policies and enterprise data sources like Workday and SAP, to Google BigQuery.
Read, write, and transform large-scale datasets via the Informatica connection to Apache Iceberg on Google Cloud Storage, supporting schema evolution and high-performance analytics.