Google rearranges Agentspace into Gemini Enterprise

A new spin on workflow automation as Chocolate Factory tries to displace Microsoft as the enterprise go-to

Google on Thursday announced the launch of Gemini Enterprise, a platform for automating business workflows using the company's Gemini family of machine learning models.

No less than Sundar Pichai, CEO of Google and its parent Alphabet, and Thomas Kurian, CEO of Google Cloud, penned blog posts to herald the coming of Gemini Enterprise.

"Gemini Enterprise is an AI-powered conversational platform designed to bring the full power of Google AI to every employee for every workflow," said Pichai in his love letter to the miracle of AI.

Gemini Enterprise is essentially a rebranding of Google Agentspace, the URL for which now redirects to the Gemini Enterprise page.

It's not much to look at – a web interface with icons, an input box, a flow chart, and so on – but the same could be said of OpenAI's ChatGPT. It's the underlying models and integrations that count. 

Screenshot of Google Gemini Enterprise interface - Click to enlarge

Kurian wrote, "Through a no-code workbench, any user — from marketing to finance, and any other team – can analyze information and orchestrate agents to automate processes across the organization."

Business automation is not exactly a new idea. Easily mechanized tasks have already been systematized through traditional computer programming and industrial robotics. 

But AI, according to Google, Microsoft, Amazon, OpenAI, Anthropic, Salesforce, and everyone plowing cash into data centers that will serve AI models, makes it possible to automate tasks that would be difficult to program by relying on natural language instruction, generated speech, and computer vision. Both Pichai and Kurian (and many others) insist AI is transformational.

"Best Buy has transformed its customer service, driving a 200 percent increase in customers rescheduling deliveries on their own and resolving 30 percent more questions on topics like price matching and recycling," wrote Pichai. 

The promised business transformation, Kurian suggests, comes not just from models and a no-code workbench interface. It also involves pre-built and customizable software agents, connections to corporate data sources like Google Workspace and Microsoft 365, a governance framework, and a partner ecosystem.

"By bringing all of these components together through a single interface, Gemini Enterprise transforms how teams work," said Kurian. "It moves beyond simple tasks to automate entire workflows and drive smarter business outcomes – all on Google's secure, enterprise-grade architecture."

CLI extensions connect AI to everything

As part of its effort to convince large organizations to commit to AI, Google has introduced the ability to create Gemini CLI extensions. 

"Gemini CLI is an open-source, AI-powered agent for your terminal, and extensions are its power-ups – pre-packaged, easily installable integrations that connect it to external tools including everything from databases and design platforms to payment services," explained senior staff software engineer Taylor Mullen in a blog post.

Businesses have been slow to embrace AI. Many of their pilot tests have shown little if any business value. And in contrast to the vibe-coding, YOLO zeitgeist promulgated by AI vendors and startups, large companies tend to have concerns about data security, compliance, cost, and their inability to replicate claims about increasing productivity while reducing headcount.

John Pettit, CTO of Promevo, a Google Enterprise integration partner, told The Register in an interview that the goal of agentic AI is to automate the reasoning-planning-action loop. The first version of Gemini in Workspace, and of Microsoft's platform, was focused on helping people find information, generate ideas, and do research, he said.

"We're moving towards a world where it's not gonna be which marginally better productivity suite somebody has," said Pettit. "It's gonna be about what AI platform people are using.

"So you see a lot of software embedding AI, but with Google rolling out Gemini Enterprise, this really is about the AI platform. We've been working with Google and Agentspace and helping clients with Agentspace adoptions before it was renamed and rebranded. And they've taken that concept of just having a place where you can kind of deploy and run with agents to create a platform that would be the central point of access for your employees when they ask for information."

As an example of how Gemini Enterprise might be useful, Pettit cited the employee onboarding process for salespeople. Rather than having to train employees how to use multiple systems and tools, maybe you just want the employee to be able to put leads into the system, he said. Or maybe, he said, you have a client success manager who you just want to be able to ask about the status of an account, rather than taking multiple steps across different applications. The dream, he said, is to be able to accomplish those tasks more efficiently with the help of an AI agent.

Pettit said it's not surprising that AI projects fail. Before generative AI was a thing, he said, it was common for 80 percent of IT projects to fail. 

He said businesses often "don't have a clear outcome in mind. They don't know where the ROI is going to be gained. Some companies are so large, they fundamentally don't grasp the processes that their employees go through."

Business transformation, Pettit said, whether it involves AI or not, requires clear goals and constant iteration. "This is about changing processes and being thoughtful about how a process could be AI enabled or AI first," he said.

IT consultancy Gartner maintains that the Generative AI model market will grow by almost 150 percent in 2025, to surpass $14 billion. By 2028, the biz expects the annual market growth rate to stabilize at 38 percent.

"I don't believe [Gemini Enterprise] will accelerate agentic AI adoption on its own," Joe Mariano, senior director for the digital workplace at Gartner, told The Register in an email. "But it does give companies a viable alternative to other services with greater extensibility than what is on the market today."

Mariano said that of the 322 respondents from Gartner's 2025 GenAI and Agentic AI in Enterprise Apps Survey in June, 65 percent say they intend to standardize on Microsoft agentic services, with Google rating a distant second at 26 percent.

"With this change, we could see Google potentially as a viable option for more companies," said Mariano. "What Google is doing is breaking down its AI walls, not hiding the services behind a large suite of products such as Google Workspace or Google Cloud Platform. This means that an organization with zero Google footprint in their company could now start utilizing core Gemini chat and agentic services across the spectrum of applications they have.

"The potential here is greater leverage for sourcing teams trying to get the best deals on AI services, and more flexibility in ways workers can accomplish tasks and scaling of digital frictions by using Gemini as the access point to data stored across different applications and services." ®