In October 2025, Google Cloud launched Gemini for Enterprise, a unified agentic AI platform designed to automate workflows, enhance productivity, and integrate seamlessly with business systems. Gemini centralizes deployment, governance, and integration, connecting software, data, and workforce. Key features include advanced AI models, no-code/low-code agent building, prebuilt agents, robust data integration, and a central governance framework. With over 1,500 prebuilt agents and a vast partner ecosystem, Gemini competes with platforms like Microsoft Copilot and ChatGPT Enterprise, offering scalable AI adoption for organizations of all sizes.
In October 2025, Google Cloud unveiled Gemini for Enterprise, a unified agentic AI platform designed to help organizations build secure, scalable AI agents. These agents can automate workflows, enhancing productivity and integrating seamlessly with existing business systems.
Previously, Gemini’s capabilities were fragmented across Workspace apps like Gmail, Docs, and Sheets. There was no centralized platform for deployment, governance, or integration with external systems such as Microsoft 365 or Salesforce. Gemini for Enterprise addresses this gap by offering a comprehensive solution that connects software, data, and workforce across the organization. Gemini for Enterprise is a platform that can connect with an organization’s software, data, and workforce.
Key Features of Gemini for Enterprise
- Advanced AI Models: Google’s most advanced models will be part of this platform. Models include Gemini 2.5 Pro; Gemini 2.5 Flash Image, which is also referred to as "Nano Banana”; and Veo for creating new media-rich experiences.
- Workbench: A no-code/low-code tool will enable building agents to automate processes.
- Prebuilt Agents: Ready-to-use agents, like Deep Research, Data Insights, and Coding agents, will be included.
- Data Integration: Gemini for Enterprise connects to platforms like Google Workspace, Microsoft 365, and SharePoint, as well as business applications like Salesforce, SAP, and ServiceNow, that the agents can help with.
- Governance and Security: A central governance framework allows users to visualize, secure, audit, and manage all AI agents.
- Partner Ecosystem: Google Cloud has partnered with other companies to build Gemini-compatible agents or integrate their platforms into the Gemini Enterprise ecosystem.
- Agent Discovery: A new AI Agent Finder tool enables users to discover, filter, and deploy thousands of vetted agents.
- Model Context Protocol (MCP): This extends Gemini’s capabilities by allowing access to external data sources for contextual intelligence.
Google Cloud’s CEO Thomas Kurian mentioned that there are 1,500 prebuilt agents available out of the box with Gemini Enterprise. Additionally, there is an ecosystem of over 100,000 partners. Accenture alone has built more than 450 agents that are available on the Google Cloud Marketplace.
Market Context & Competitive Landscape
Gemini for Enterprise enters a competitive space alongside platforms like:
- OpenAI’s ChatGPT Enterprise
- Anthropic’s Claude for Business
- Microsoft Copilot
- AWS Bedrock
Anthropic recently secured a major deal with Deloitte to deploy Claude across 470,000 employees in 150 countries. For Google Cloud to succeed, it must leverage its cloud infrastructure and partner network and deliver strong ROI, compliance, and risk mitigation.
Our Take
For current Google Cloud customers, this solution provides an efficient pathway for various business units to begin automating their workflows with minimal technological effort.
The compatibility with widely used software platforms is advantageous, reducing the need for supplementary integration efforts. Tech leaders should evaluate the potential benefits against the costs associated with implementing Gemini for Enterprise, especially if their platforms are not Google Cloud.
However, given the crowded landscape of enterprise AI platforms, Google must differentiate Gemini through strategic partnerships, robust governance capabilities, and demonstrable business impact. With its scalable infrastructure and deep integration potential, Gemini for Enterprise is well positioned to attract large organizations – many of which may evaluate it alongside other leading platforms such as Microsoft Copilot, OpenAI’s ChatGPT Enterprise, and Anthropic’s Claude for Business.
For small and medium-sized businesses (SMBs), Gemini offers a compelling entry point into AI adoption without requiring deep technical expertise. The availability of prebuilt agents, no-code tools, and integrations with widely used platforms like Google Workspace and Microsoft 365 makes it easier for SMBs to automate workflows and improve productivity at a manageable cost.
