Google launches Gemini Enterprise: AI’s new ‘front door’ at work

Google has launched Gemini Enterprise, a business platform it has billed as the “new front door” for bringing its Gemini models and AI agents into everyday workflows.

The service has combined pre‑built agents with tools to build custom ones, and has been positioned to connect securely to company data and applications.

Revealed on 9 October 2025, Gemini Enterprise has been described by Google as a conversational, agent‑centred platform designed to let employees query documents, data and applications, and to assemble AI agents that automate tasks across teams.

Google has said the platform includes a gallery of Google‑made agents (such as Deep Research, NotebookLM and coding agents) alongside a no‑code builder for creating bespoke ones.

Alphabet chief executive Sundar Pichai presented Gemini Enterprise as going beyond simple chat to unify models, tooling and governance for enterprise adoption.

How it fits into the workplace stack

Gemini Enterprise is built to plug into existing systems. Google has highlighted connectors for Google Workspace and Microsoft 365, plus integrations with business apps such as Salesforce and SAP and data sources including BigQuery—so agents can operate with organisational context and permissions.

Security features include centralised controls, data residency options and support for compliance workloads (for example HIPAA and FedRAMP High in applicable editions).

The launch also extended Google’s enterprise AI push beyond Workspace add‑ons, creating a single place to deploy, manage and govern AI agents at scale.

What does Gemini Enterprise cost?

Google has offered two main tiers. Gemini Business starts at $21 per seat per month for smaller teams, with pooled storage and indexing.

Enterprise editions (Standard/Plus) start at $30 per seat per month, adding higher usage, advanced security/governance (including VPC‑SC and customer‑managed encryption keys), options for sovereign data boundaries and unlimited seats.

Why it matters

Enterprises have been moving from single‑purpose chat assistants to agentic systems that orchestrate tasks end‑to‑end.

By packaging multimodal Gemini models, pre‑built agents and a governed agent platform, Google has sought to make AI a standard entry point to business data and workflows—what Pichai has called a workplace “front door”.