Use cases designed for companies like yours: Gemini Enterprise as an agent layer for the entire workforce, and Gemini Enterprise Agent Platform as the engine for custom agents. Plus, three real-world projects to get started.
Gemini Enterprise connected to company email and documents, to prepare meetings and reports with sources.
Workflows created by the process owner themselves, without programming: they launch automatically, request approval, and send notifications.
An agent that resolves team inquiries regarding IT, vacation, or procedures, using internal documentation and individual permissions.
Invoices, delivery notes, and contracts are automatically read, validated, and loaded into your systems.
Executive dashboards and natural language business questions based on the data you already have.
Manuals, regulations, and technical documentation compiled in a notebook that the team can query, with answers citing the source.
Models that anticipate demand, customer churn, or the optimal price, based on the data you already have.
Images and video analyzed to detect defects, count inventory, or read labels.
Your cloud risks, prioritized by actual impact, with explanations and steps to resolve them.
Agents that operate applications without API just as a person would—by reading the screen.
The application where your team searches, asks questions, and uses agents to work with company information—using their existing permissions.
The engine for building custom agents connected to your systems, formerly known as Vertex AI.
We publish the sector and the solution, not the company name.
Gemini Enterprise connected to SharePoint and Outlook, without switching productivity suites.
Sales, production, and quality data brought together in BigQuery, modeled with dbt, and visualized in Looker Studio Pro.
An agent on Agent Platform that translates business questions into DAX for existing Power BI models.
Gemini Enterprise connected to company email and documents, to prepare meetings and reports with sources.
Workflows created by the process owner themselves, without programming: they launch automatically, request approval, and send notifications.
An agent that resolves team inquiries regarding IT, vacation, or procedures, using internal documentation and individual permissions.
Invoices, delivery notes, and contracts are automatically read, validated, and loaded into your systems.
Executive dashboards and natural language business questions based on the data you already have.
Manuals, regulations, and technical documentation compiled in a notebook that the team can query, with answers citing the source.
Models that anticipate demand, customer churn, or the optimal price, based on the data you already have.
Images and video analyzed to detect defects, count inventory, or read labels.
Your cloud risks, prioritized by actual impact, with explanations and steps to resolve them.
Agents that operate applications without API just as a person would—by reading the screen.
They depend on your systems and data. We provide a fixed timeframe in the proposal.
Scale in weeks. The light-colored section of each bar indicates the usual minimum timeframe.
In a session with your team, we identify the cases with the greatest impact and return, and leave with a clear next step.
Schedule a workshopNo. Gemini Enterprise also works with Microsoft 365, connected to SharePoint and Outlook, just like in the agribusiness project.
As a reference, a proof of concept takes 2 to 4 weeks, a customer service assistant 6 to 8 weeks, and full document processing 2 to 3 months. The specific timeframe is included in the proposal.
Your data remains in the region you choose—such as the European Union—and Google does not use it to train its models. Agents respect individual user permissions, and security can be reinforced using VPC Service Controls, customer-managed encryption keys (CMEK), and Access Transparency.
No. Gemini Enterprise Workflow Builder allows you to create agents without code, and we handle the cases that require custom development.
Gemini Enterprise is the layer your workforce uses. Gemini Enterprise Agent Platform—formerly Vertex AI —is the engine used to build custom agents and models.