Google launches Gemini Enterprise to boost AI agent use at work

Google is taking another step in selling businesses through AI agents by offering subscriptions that feature agents performing specific business tasks.

Gemini Enterprise targets large organizations with a monthly fee starting from $30 per person. Gemini Business costs $21 per person per month for smaller customers. The offerings allow enterprise employees to create agents that leverage data. Box, Microsoft And sales force products.

Pre-built Google agents for software development, data science, and customer engagement also come with new Gemini subscriptions, providing access to the following agents: Working day and other companies. These include the capabilities of Agentspace, Google’s agent creation product. announced In December. Google will upgrade existing Agentspace customers to Gemini Enterprise or Gemini Business for free for the duration of their contract, a spokesperson said.

Gemini subscriptions come with Model Armor, a feature to inspect and block requests and responses in AI chats; so organizations don’t need to bother setting up this feature.

The launch comes three days after OpenAI demonstrated how people can access tools from third-party apps on ChatGPT. Meanwhile, Google and Microsoft are exploring ways to connect businesses to agents who handle some processes so employees can do other things. Both companies sell services aimed at developers and non-technical workers. Neither Gemini Enterprise nor Gemini Business requires coding.

“We’ve seen people from consulting services companies, telecommunications companies, software companies, hospitality companies, and a variety of different manufacturing companies using them in a variety of scenarios,” Thomas Kurian, CEO of Google’s cloud group, said at a media briefing.

Kurian, who drove the unit’s annual revenue growth above 30% in the second quarter, named the Virgin Voyages cruise line as an early adopter of Gemini Enterprise.

Chirag Dekate, an analyst at tech industry researcher Gartner, said companies are more likely to explore or test AI agents rather than put them into production. But Dekate said Google’s attention to security and governance should ease concerns among large companies evaluating agent systems.

Google’s new Gemini subscriptions rely on the company’s Gemini AI models for working with text, images and videos. Dekate said Google and other model makers regularly release new versions, and organizations want to avoid being stuck with outdated models when choosing middleware.

“How Google can leverage this unified messaging in the upcoming Gemini 3.0 launch lineup, I think, will also be a very important litmus test,” he said. “In other words, will they be able to deliver a same-day innovation cycle, or will this be gradual in terms of adoption patterns?”

WRISTWATCH: Box CEO on making money from AI: Agents offer new monetization opportunity for existing software companies