Google is doubling down on artificial intelligence for businesses with the launch of Gemini Enterprise and Gemini Business — subscription plans designed to help corporate teams build and deploy AI agents for everyday work tasks.

The Gemini Enterprise plan targets large organizations and starts at $30 per user per month, while Gemini Business, aimed at smaller companies, costs $21 per user monthly. Both plans allow employees to create AI agents that can connect with data from tools such as Box, Microsoft, and Salesforce, automating workflows across departments.

Subscribers also gain access to a set of ready-made Google agents for software development, data science, and customer engagement, along with integrations from partners like Workday. These features include all the capabilities of Agentspace, Google’s agent-building platform announced in December. Existing Agentspace customers will be upgraded to the new Gemini plans at no additional cost during their current contracts.

A key new feature, Model Armor, helps companies inspect and filter AI chat inputs and outputs — providing an added layer of security and compliance without requiring extra setup.

The move comes shortly after OpenAI unveiled new ChatGPT integrations with third-party tools, as major tech companies race to dominate the emerging AI agent market. Both Google and Microsoft are focusing on making these agents accessible to technical and nontechnical users alike, with Gemini not requiring any coding skills.

“We’ve seen people from consulting, telecom, software, hospitality, and manufacturing all using these agents in various scenarios,” said Thomas Kurian, CEO of Google Cloud, during a media briefing. He also named Virgin Voyages as one of the early adopters of Gemini Enterprise.

Industry analysts see this as a strategic step in making enterprise AI adoption easier. According to Chirag Dekate from Gartner, while most companies are still in the testing phase with AI agents, Google’s emphasis on governance and security could help large enterprises feel more confident in experimenting with these tools.

The new Gemini plans run on Google’s Gemini AI models, which can process text, images, and videos. As model updates continue, companies are keen to ensure they stay current and avoid being locked into outdated technology. Dekate noted that Google’s upcoming Gemini 3.0 release will be a crucial moment:

“The question will be whether Google can deliver innovations in real time — or if updates will roll out gradually across customers,” he said.

Meanwhile, Amazon Web Services announced its own entry into the same space with Quick Suite, a new service allowing nontechnical workers to create AI agents that connect to over 50 applications — underscoring how fierce the competition for the enterprise AI market has become.

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