What Can Google’s Gemini Enterprise Suite Offer Businesses?

Google has announced the launch of Gemini Enterprise, a conversational AI platform designed to integrate AI across workplaces worldwide.

The announcement, made by CEO Sundar Pichai alongside Cloud CEO Thomas Kurian at the company’s Gemini at Work event, positions the product as what Sundar calls “the new front door for AI in the workplace”.

The platform is a consolidation of several existing Google AI technologies, including the company’s Gemini models, first and third-party agents and the core technology from what was previously known as Google Agentspace.

Beyond chatbots

At a glance, Gemini Enterprise is Google’s attempt to move past basic chatbot technology towards a more comprehensive, transformational tool that businesses might find more useful.

The platform enables employees to interact with company documents, data and applications through natural language while also providing them with the tools they need to build and deploy AI agents.

Thomas emphasised this approach in his announcement, suggesting that the first wave of AI “has been stuck in silos, unable to orchestrate complex work across an entire organisation”.

True transformation, he argues, “requires a comprehensive platform that connects to your context, your workflows and your people”.

All in all, the Gemini Enterprise is a suite comprising six core components: advanced Gemini models, a no-code workbench for building agents, pre-built agents for specialised tasks, connections to enterprise data sources, central governance and an ecosystem of over 100,000 partners.

Successful case studies from the early adopters

Before the platform was officially launched, Google approached a number of organisations to test the system. This year, these businesses have been implementing the platform in operational settings, with results varying across sectors.

Virgin Voyages has deployed more than 50 specialised AI agents across its business, with one agent called Email Ellie reducing campaign copy creation time by an estimated 40%.

The cruise line reports that AI-generated campaigns contributed to a 28% year-over-year increase in July sales, which the company described as record-breaking.

“What excites me most about this partnership with Google Cloud is how it gives our teams back time to do what they do best – create joy, build connections and bring our brand to life,” says Nirmal Saverimuttu, CEO of Virgin Voyages.

Elsewhere, Gordon Food Service, a 127-year-old foodservice distributor, has equipped nearly 12,000 employees with Google Workspace and is leveraging Gemini Enterprise to empower its IT and developer teams.

Brendan Bonthuis, CIO at Gordon Food Service, explains: “We’ve been around for more than 127 years because we know innovation matters, and that spirit is what makes our partnership with Google Cloud so incredible.”

Google has also road-tested its tech in the finance sector. Macquarie Bank in Australia became one of the first retail banks in the country to roll out Gemini Enterprise to all employees across its retail banking business, not limiting access to technology teams.

The bank is currently developing two categories of custom agents: personal agents for individual productivity and enterprise agents designed to tackle complex business challenges.

“Retail banking is a highly competitive industry, and ultimately we need to scale fast and scale smartly,” says Richard Heeley, Head of Technology at Macquarie’s Banking and Financial Services group.

Within six months, Macquarie Bank aims to have all employees integrating AI into their daily workflows, with 99% of current employees having already completed generative AI training.

Other use cases cited by Google include HCA Healthcare piloting a Gemini-powered solution for nursing shift handovers, estimated to save millions of hours annually – and Best Buy reporting a 200% increase in customers independently rescheduling deliveries.

Infrastructure and competitive positioning

The announcement arrives as Google Cloud reported surpassing a US$50bn annual revenue run rate in the second quarter, with 65% of cloud customers already using the company's AI products.

Google’s approach relies on what it terms a “full-stack” AI strategy, encompassing infrastructure, research, models and products.

The infrastructure includes Nvidia GPUs and Google’s proprietary Tensor Processing Units, with the latest Ironwood generation offering a tenfold performance improvement over previous versions.

Research contributions from Google Research and Google DeepMind underpin the platform’s capabilities.

The company noted that Michel Devoret, Chief Scientist on its quantum team, recently received the Nobel Prize in Physics for foundational research conducted in the 1980s.

This follows last year’s Nobel Prize in Chemistry awarded to Demis Hassabis and John Jumper for AlphaFold.

Pricing and availability

Gemini Enterprise will be available in all countries where Google Cloud products are sold, with support for 48 languages.

The platform offers several editions: Gemini Business for small businesses and individual departments, starting at US$21 per seat per month with annual plans, and Gemini Enterprise Standard and Plus editions for larger organisations, starting at US$30 per seat per month.

Business Edition includes a 30-day free trial period and will begin rolling out from 9 October.

Thomas positions Gemini Enterprise against competitors by noting that other vendors “are handing you the pieces, not the platform” and leaving teams to integrate components themselves.

The platform's success will likely depend on whether businesses find value in integrated AI systems versus standalone tools, and whether Google's infrastructure advantages translate into meaningful productivity gains for enterprise customers.