Google unveils Gemini Enterprise, a new artificial intelligence platform dedicated to professional clients.
Gemini Enterprise is designed to provide employees with a conversational interface through which they can interact with their company’s data, documents, and applications.
In practice, the platform brings together several components:
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Pre-configured agents (by Google) for tasks such as deep search or data analysis;
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the ability for companies to create and deploy their own custom agents;
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a secure connection to corporate data, whether it resides in Google Workspace, Microsoft 365, or professional applications (Salesforce, SAP, etc.);
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a centralized governance framework to monitor and audit deployed agents.
Google presents Gemini Enterprise as a single ‘gateway’ to AI in the workplace — a unified interface designed to connect the various tools, data, and processes.
Google says some companies have already adopted Gemini Enterprise or are pursuing this path. Among them are Gap (apparel retail), Figma (design software), and Klarna (deferred payment service, BNPL).
Other partnerships are also mentioned: for instance, Accenture plans to integrate Gemini Enterprise into its own operations to facilitate knowledge sharing and process automation.
Google notes that the partner network (software publishers and service providers) will be able to offer agents compatible with the platform, broadening the ecosystem available to client enterprises.
Links with Google Cloud offerings
This new platform builds on Google’s strengths in the enterprise space, notably Google Workspace, which has in recent times integrated Gemini-powered AI features.
However, this is not merely an extension or rebranding of Workspace’s AI offering: Gemini Enterprise is deployed as a distinct platform, under Google Cloud, with broader and more specialized capabilities for enterprise-grade agents.
A few points to watch or explore further:
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Security and governance: connecting agents to sensitive enterprise data requires strong access control, auditability, and data protection. Google emphasizes a centralized governance framework, but large-scale practical implementation will remain a challenge.
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Internal adoption: persuading non-technical teams to build and use custom agents requires an accessible interface (e.g., no-code) and support. Google mentions a “no-code workbench.”
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Interoperability and integration: enterprises already have a variety of systems (ERP, CRM, internal databases). Gemini Enterprise’s ability to integrate with these environments will be decisive.
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Competition and differentiation: Microsoft, OpenAI, and other players are expanding their enterprise offerings. Success will hinge on the added value provided (models, agents, integration, cost) compared with what competitors offer.
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Scalability and robustness: to replace or augment critical business processes, the platform must guarantee stability, performance, and the ability to scale.
