Google has launched its big bet for the corporate environment: Gemini Enterprise, a conversational AI platform designed to be embedded into the daily processes of any organization. The company defines it as a single access point to artificial intelligence capabilities at work, with a focus on security, productivity, and large-scale deployment.
Far from a typical chatbot, the solution relies on the Gemini 2.5 models (Pro and Flash) and allows you to consult internal data, documents and business apps securely, in addition to build and deploy agents customized and use a ready-made catalog of agents for common tasks.
What is Gemini Enterprise and how does it integrate into the company?
The proposal unifies generative models and tools such as Code Assist and Deep Research with each client's systems. It works openly with Google Workspace and Microsoft 365 (including SharePoint), and connects to applications such as Salesforce, SAP, or Jira, enabling an automation framework that reduces friction between data and decisions.
Because an agent performs based on its context, Gemini Enterprise incorporates secure data ingestion where they reside (cloud or hybrid environments) and a dashboard centralized governance to audit, secure, and control permissions, compliance, and usage policies from one place.
The solution relies on agents multimodal who understand and create text, images, video and voice. With Google VideosFor example, it is possible to turn a presentation into a video complete with AI-generated script and narration; and in Google Meet Real-time voice translation will be added, maintaining a natural tone, relying on features like “Take Notes for Me,” whose use has grown more than 13 times this year.
All of this is supported by Google's full-stack strategy: Next-generation TPU with promises of multiplied performance, advances of Google DeepMind and a broad catalogue of foundational models. The company notes internally that almost half of the new code It is already generated with the help of AI.
Marketing comes with two main plans: Gemini Business, oriented to small teams, part of a few $21 per user/month; and Gemini Enterprise, for large organizations, from $30 per user/month with an annual commitment. Flexible monthly options are available from some retailers (e.g., $24 and $36 in Business and Enterprise), with possible variations by region and contract.
Agents, use cases and productivity
To accelerate deployment, a low-code visual editor that allows you to define an agent once and take it to web, mobile, telephony, email or chat. The new conversational agents support more than 40 languages, offer natural voices and handle accent and noise changes with low latency.
There is a catalog of preconfigured agents (from legal areas to data processing) and connectors with key tools are announced. The Data Science Agent in preview, which automates data preparation, pattern detection, and training and inference plan design; companies such as Morrisons, Vodafone and Walmart They are already testing it.
In interaction with clients, the Customer Engagement Suite integrates chat and voice for customer service on the web, in apps, or at the point of sale. Commerzbank created its chatbot Bene and manages more than two million conversations, resolving around 70% of consultations; Mercari projects a 500% ROI by reducing the workloads of its agents.
Google has shown more adoptions: HCA Healthcare Test an agent that automates nursing shift handover reports, saving millions in time; Best Buy increased by one 200% self-managed rescheduling; and Virgin voyages With her “Email Ellie” she raised a 28% of monthly sales and cut a 40% campaign creation time.
Other cases add sectoral traction: Klarna uses Gemini and Veo for custom lookbooks with orders 50% older people; Mercedes Benz powers its MBUX assistant with Gemini on Vertex AI for contextual responses in the car; and SWAROVSKI improves a 17% email openings and increases campaign localization tenfold.
Ecosystem, open standards and development
For developers, Gemini CLI It has become a companion from the terminal to automate tasks, generate code or investigate with natural language; it surpasses the million users in a few months. The new Extensions connect with Atlassian, GitLab, MongoDB, Postman, Shopify or Stripe, fitting AI into real flows without changing tools.
Google pushes open protocols for the “agent economy”: the Agent2Agent (A2A) and the Model Context Protocol (MCP) normalize how they share context and communicate; and the Agent Payments Protocol (AP2) defines secure transactions with partners such as American Express, Coinbase, Intuit, Mastercard, PayPal, ServiceNow or Salesforce.
The ecosystem totals more than 100.000 partners in infrastructure, tools and services. Consulting firms such as BCG, Capgemini, HCLTech, Infosys, McKinsey, TCS or Wipro accompany deployments, while Accenture, Cognizant, Deloitte, KPMG and PwC announce adoption and specific services. In addition, Google Skills (free training) with the program GEAR to train one million agent creators, and the elite team Delta for complex projects.
Along with its strengths, Google recognizes common challenges: intense competition (Microsoft Copilot, OpenAI GPT‑5 and others), organizational maturity and training, costs and scalability in intensive uses, and normative compliance in regulated sectors. The proposal relies on unified administration, security controls, and traceability to mitigate these risks.
Gemini Enterprise is presented as a single layer for orchestrating agents, data, and applications, with real-world impact cases and an open approach to standards and partners. The outcome will depend on its ability to deliver. reliability, security and tangible utility to teams of all sizes, without breaking existing workflows.
