Google named Gartner leader in enterprise AI assistants

Gartner has named Google a Leader in its inaugural Magic Quadrant for Enterprise AI Assistants, placing the company in the Leaders quadrant for Completeness of Vision and Ability to Execute.

The ranking centres on Gemini Enterprise, Google's platform for workplace AI tools and agents. According to Google, the service combines chat, search, agent design, Workspace integration and connections to third-party software in a single offering.

Google is using the Gartner assessment to reinforce its position in the crowded market for business AI software, where large technology groups and specialist providers are competing to become the main interface for employees using generative AI at work.

Google said Gemini Enterprise is intended to help organisations move beyond basic chatbot use and automate multi-step workflows with AI agents. The company also said the product connects with existing software and internal data sources, including systems outside Google's own ecosystem such as Microsoft 365.

Product changes

Recent additions have focused on industry-specific tools, software development and spending controls. Google said it introduced versions for legal work and financial services, with pre-built agents, sector-focused functions and data connectors for regulated environments.

Google has also added AI developer tools through Google Antigravity in Gemini Enterprise. According to the company, this allows customers to provide agentic development tools to software teams while keeping governance and monitoring within the administrative console.

Another update covers financial management. Google said it introduced new cost-control options, including additional pricing choices, flexible savings plans and more detailed spending management for agent workloads.

Customer comments

Several customers cited by Google pointed to governance, workflow integration and regulated-industry use cases as reasons for adopting the software.

"Deploying Antigravity in Gemini Enterprise allows Accenture to arm our engineers with Google DeepMind's premier technology on the secure, trusted foundation of Google Cloud. Abstracting away operational complexity ensures our teams don't have to choose between developer speed and enterprise-grade governance, freeing them to deliver high-velocity engineering and transformative value for our clients," said Chetna Sehgal, Global Practise Lead, Accenture Google Business Group.

Law firm Cleary Gottlieb also pointed to workflow integration in its use of the software.

"Cleary is committed to embedding AI into our workflows in strategic and competitive ways. Using Google's Gemini Enterprise, which can slot in seamlessly with other daily work tools, we can unlock greater efficiencies for our teams and help them deliver even higher-quality work for our clients," said Jeff Karpf, Managing Partner, Cleary Gottlieb.

Google also highlighted input from Deutsche Bank on a finance-focused agent.

"As a design partner for the Financial Research agent, Deutsche Bank has helped shape this capability in view of the realities of a highly regulated industry, from data protection and governance to the workflows our teams use every day," said Marie-Jeanne Deverdun, Chief Technology, Data and Innovation Officer, and Member of the Deutsche Bank Management Board.

Another legal-sector customer pointed to workflow support for litigators.

"We're thrilled to partner with Google Cloud in the early adoption of Gemini Enterprise for Legal. We look forward to integrating Google's technology to streamline workflow and further support our litigators in shaping outcomes critical to our clients' futures," said Joe Petrosinelli, Chairman, Williams & Connolly.

Market push

The Gartner recognition gives Google an external endorsement as it seeks to expand Gemini Enterprise across large companies. The market for enterprise AI assistants has become a key battleground for cloud and software providers, with customers weighing issues such as governance, software integration, pricing clarity and control over internal data.

Google's case for Gemini Enterprise rests on presenting it as a single platform rather than a collection of separate tools. The company said the product brings together first-party and third-party agents, a no-code design layer and links to existing workplace systems, while offering governance features as part of the base service.

Google also stressed what it described as open connectivity beyond its own products, alongside a pricing structure that includes chat and search in the base subscription and gives customers a pay-as-you-go option for some agent workloads.

That approach reflects a wider industry shift as suppliers try to persuade businesses to move from experimental chatbot deployments to broader use of AI across daily operations. For large customers, the pitch increasingly depends not only on model quality but also on administrative controls, procurement simplicity and how easily AI tools fit into established systems.