Salesforce and Google Cloud Enable AI Agents to Act Across Both Platforms with Deep Context and End-to-End Workflows - iTWire

2026-04-23 · Source: artifical intelligence via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Software Development & Engineering · Depth: Intermediate, medium

Summary

Salesforce and Google Cloud have expanded their partnership to enable AI agents to execute end-to-end workflows across both platforms, addressing challenges of fragmented data and disconnected systems. This collaboration integrates AI agents into tools like Slack and Google Workspace, leveraging Agentforce and Gemini Enterprise for intelligence and context. Key features include Slackbot generating Google Workspace content from requests, Gemini Enterprise acting as a search and assistant tool within Slack, and Agentforce Sales agents managing CRM tasks directly in Gemini Enterprise. The partnership also focuses on optimized security, deep intelligence, and zero-copy data movement, with Agentforce natively supporting Gemini models via the Atlas Reasoning Engine and reading data directly from Google Lakehouse. New IDMC connectors for Google BigQuery and Apache Iceberg on Google Cloud Storage enhance data governance and multi-source connectivity. Several features are available now or will be released throughout 2026.

Key takeaway

For CTOs and VPs of Engineering evaluating enterprise AI strategies, this expanded partnership offers a compelling path to unify disparate systems and automate complex workflows. You should investigate how Agentforce and Gemini Enterprise integrations can reduce context switching, enhance data security through zero-copy architecture, and accelerate your "Agentic Enterprise" transformation by enabling AI agents to act across Salesforce and Google Cloud environments.

Key insights

Salesforce and Google Cloud enable cross-platform AI agents with deep context and zero-copy data for end-to-end workflows.

Principles

• Unify fragmented data for comprehensive AI context.
• Automate complex workflows across disparate systems.
• Prioritize zero-copy data for security and performance.

Method

Integrate AI agents (Agentforce, Gemini Enterprise) into collaboration tools (Slack, Google Workspace) to access and process data across CRM, cloud storage, and analytics platforms without data movement.

In practice

• Use Slackbot to generate Google Workspace content.
• Access Gemini Enterprise for cross-app search in Slack.
• Automate CRM updates via Agentforce Sales in Gemini Enterprise.

Topics

• AI Agents
• Agentic Enterprise
• Salesforce Agentforce
• Google Gemini Enterprise
• Cross-Platform Workflows

Best for: Investor, CTO, VP of Engineering/Data, Director of AI/ML, AI Architect, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.