Google just made its biggest play yet for the enterprise AI market, launching Gemini Enterprise and Business subscriptions that let corporate workers build custom AI agents without writing code. Starting at $21 per person monthly, the service includes pre-made agents for data science and customer engagement, plus security features that could finally convince skeptical IT departments to embrace workplace automation.
Google is doubling down on enterprise AI with a subscription model that could reshape how businesses think about workplace automation. The tech giant today unveiled Gemini Enterprise and Gemini Business, two subscription tiers designed to get corporate workers building AI agents that handle everything from data analysis to customer service.
The pricing strategy is aggressive: Gemini Enterprise targets large organizations at $30 per person monthly, while Gemini Business aims at smaller companies for $21 per person. Both services let workers create agents that tap into data from Box, Microsoft, and Salesforce without requiring any coding skills.
What's particularly interesting is Google's timing. This launch comes just three days after OpenAI demonstrated how users can access third-party tools directly within ChatGPT. The enterprise AI race is clearly heating up, with both companies scrambling to lock in business customers before the market matures.
"We've seen people from consulting services companies, telecommunications companies, software companies, hospitality companies and a variety of different manufacturing companies all using these, and in a variety of scenarios," Thomas Kurian, CEO of Google's cloud division, told reporters during a media briefing.
The new subscriptions build on Google's December launch of Agentspace, essentially rolling that product into a more comprehensive offering. Current Agentspace customers will get upgraded to the new tiers at no extra cost through their existing contracts - a smart retention move that prevents customer churn during the transition.
Google's approach includes pre-made agents for software development, data science, and customer engagement, plus access to specialized agents from partners like Workday. The company claims cruise line Virgin Voyages is already testing Gemini Enterprise, though specific use cases weren't detailed.
Kurian's team has been on a tear lately, pushing Google Cloud's revenue growth back above 30% in Q2 after years of lagging behind Amazon Web Services and Microsoft Azure. The enterprise AI push represents Google's best shot at closing that gap, especially given the company's early lead in large language model development.
But there's skepticism about whether businesses are actually ready to deploy AI agents at scale. According to Chirag Dekate, an analyst at Gartner, most companies are still exploring or testing agent systems rather than putting them into production. The security and governance concerns remain significant hurdles.
Google's answer is Model Armor, a built-in security feature that inspects and blocks potentially problematic requests and responses in AI conversations. It's the kind of enterprise-grade safeguard that IT departments demand but often struggle to implement on their own.
The real test will be Google's ability to keep these agents current with the latest AI capabilities. Enterprises don't want to get stuck with outdated models when selecting agent software, and Google regularly releases new versions of its Gemini models for text, images, and video processing.
"How Google is able to leverage this unified messaging in the Gemini 3.0 launch sequence, which is coming soon, I think, will also be a crucial litmus test," Dekate noted. The question is whether Google can offer same-day innovation cycles or if enterprise customers will face delays in accessing the latest features.
The competitive landscape is getting crowded fast. Microsoft is pushing its own enterprise agent strategy through Copilot, while OpenAI continues expanding ChatGPT's workplace capabilities. Each company is betting that the first to nail enterprise AI deployment will capture massive market share in what could become a trillion-dollar opportunity.
For Google, this represents more than just a new product launch - it's a fundamental shift toward becoming an enterprise software company that happens to build AI, rather than an AI company trying to sell to enterprises. The subscription model, partner integrations, and focus on security all signal that Google finally understands what corporate buyers actually want from workplace AI.
Google's new Gemini subscriptions represent a calculated bet that the enterprise AI market is ready to move beyond experimentation. By combining no-code agent building with enterprise-grade security and competitive pricing, Google is positioning itself as the practical choice for businesses wanting to automate workflows without the technical headaches. Whether companies are actually ready to deploy these tools at scale remains the big question, but Google's aggressive push suggests it believes the tipping point is closer than most realize.
