Google Launches Gemini Enterprise to Empower AI-Powered Agents in the Workplace

Google is doubling down on its AI strategy with the launch of subscription-based AI agents designed to automate specific tasks for businesses. This move signals a renewed effort to capture a significant share of the burgeoning enterprise AI market, pitting them against rivals like Microsoft and OpenAI.

The new offerings, Gemini Enterprise and Gemini Business, are tailored for different sized organizations. Gemini Enterprise, aimed at larger corporations, is priced at $30 per user per month. Gemini Business, geared towards smaller clients, comes in at $21 per user monthly. Crucially, these subscriptions empower businesses to build custom AI agents that can leverage data from popular platforms like Box, Microsoft’s suite of products, and Salesforce.

Beyond custom agent creation, the Gemini subscriptions also include pre-built Google agents designed for common tasks such as software development, data science, and customer engagement. These pre-configured agents are further augmented by access to agents from third-party providers like Workday. This ecosystem of specialized agents is built upon the foundation of Agentspace, a platform Google unveiled earlier, promising a seamless transition for existing Agentspace clients to the new Gemini tiers with complimentary upgrades during their current contract periods.

A key selling point for the Gemini subscriptions is Model Armor, a built-in security feature that inspects and filters AI chat requests and responses. This addresses a critical concern for enterprises hesitating to adopt AI: ensuring data privacy and compliance.

This launch arrives shortly after OpenAI’s unveiling of its plugins ecosystem for ChatGPT, showcasing third-party app integration. However, Google is betting on a different approach: focusing on AI agents that automate entire processes, freeing up employees for more strategic tasks. Like Microsoft, Google is catering to both developers and non-technical users, with Gemini Enterprise and Gemini Business specifically designed to require no-code development.

“We’ve seen engagement across diverse sectors – consulting, telecom, software, hospitality, manufacturing – indicating broad applicability,” stated Thomas Kurian during a recent media briefing. He highlighted Virgin Voyages as an early adopter of Gemini Enterprise, showcasing real-world implementation.

Kurian has been instrumental in driving Google Cloud’s revenue growth, exceeding 30% year-over-year in the last quarter which underscore the increasing demand for cloud-based AI solutions.

While many firms currently remain in the exploration and testing phases of AI agent adoption, industry analysts like Chirag Dekate at Gartner, believe that Google’s emphasis on security and governance will significantly reduce hesitations among larger enterprises. Dekate underscores the strategic importance of addressing security concerns that often impede wider adoption.

The underlying engine powering the Gemini subscriptions is Google’s Gemini AI model family, designed to handle text, images, and videos. However, Dekate also points out that the rapid pace of AI model development necessitates a robust upgrade strategy. Enterprises are wary of being locked into outdated models when selecting agent software. The ability to stay current is critical.

“The crucial litmus test will be how Google leverages its unified messaging in the Gemini 3.0 launch. Can they offer a same-day innovation cycle, or will adoption be staggered?” observes Dekate, highlighting the need for continuous and rapid model upgrades to maintain competitiveness.