Gemini Enterprise guidebook

March 2026

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A guide to workplace transformation with Gemini Enterprise

Table of Contents 01 How to unlock real business value with Al Tackle the cost of data silos with agentic Al 02 02 Transform work with an agentic platform 04 Gemini Enterprise solutions for your organization Enterprise Search and Al Assistant Pre-built tools and agents Browse and create agents Connect your apps and data Security, data governance, and policy controls Example use-cases Al-skilled and empowered people, the human side of transformation Future-proof Al strategy with partners and open industry standards Al that delivers at all levels, by Google 03 Getting started 25

How to unlock real business value with Al Gemini Enterprise Auto▾ Idea Generation Generate and refine innovative solutions through a competitive, multi-agent tournament. NotebookLM Quickly summarize and take notes for research with Al. Data Scienti Automate an understanding delivering med Preview Find Cymbal's 2024 financial report. Is it making a profit? + 0-

Tackle the cost of data silos with agentic Al Data is trapped across tools and applications. That makes finding and sharing information and insights harder than it should be. It also gets in the way of decisions being made and actions being taken. Not to mention that switching apps to find all this siloed information costs each employee in your organization hours of focus every week. All of that adds up to significant time and money. This constant jumping around is a drain. It breaks flow, increases errors, and can lead to burnout. Research shows that developers using Al assistants to reduce context switching saw their productivity increase by an average of 35%'. The friction isn't in the people or the intelligence of our tools, but in the boundaries between them. People can get better at switching context, but there's only so much efficiency that can bring. What your organization really needs is something that simplifies getting the most from your data. 35% otebook M uickly s otes for Preview average increase in productivity of developers using Al assistants to reduce context switching Google Idea Generation This agent is agent that innovation By Google Deep Research This agent is a specialized agent that gathers, analyzes, and understands information... By Google 'IxDC, The State of Al Code Assistants in Enterprises, 2025

02 Transform work with an agentic platform

Solving the data silo challenge To get the most out of Al, you need a platform that brings data together from wherever it lives. Gemini Enterprise is designed to sit above and connect with your company's dispersed data to help you find information, insights, and automate work with agents across the silos. It is built to solve the "boundary problem" by allowing your teams to discover, create, share, and run Al agents in a single, secure environment. Let's have a closer look at how Gemini Enterprise is built and how it works. Gemini Enterprise solutions for your organization Enterprise search and Al Assistant Gemini Enterprise provides Google-quality search for your organization's internal data with the reasoning capabilities of Gemini models. It lets you retrieve facts and synthesize answers from across your organization, rather than simply listing links. It has pre-built connectors for Google Workspace, Microsoft 365, and applications like Salesforce, ServiceNow, Jira, and Confluence. By acting as a secure "connective layer" over existing platforms and databases, it allows people to query emails, contracts, and technical documentation simultaneously from a single interface. When you ask a question, the assistant provides a summary based on the information it can find. You can then ask follow-up questions to refine the answer and get details based on the data that Gemini searches across. You can also provide your own context by uploading files for the assistant to analyze, or by mentioning specific people and documents in your prompt.

Pre-built tools and agents Gemini Enterprise comes with specialized, pre-built tools and agents ready to deliver your teams value on day one. Deep Research Deep Research is designed to automate complex information gathering and synthesis. Working as a research assistant, it autonomously executes a multi-step research plan when prompted. It searches across external web sources and internal company data to read dozens of documents. After filtering out irrelevant noise, it synthesizes the key points into a comprehensive, fully cited report. You can find Deep Research in the Agents tab of Gemini Enterprise. Getting started Click on it and enter your prompt using natural language, defining your research topic. Value Instead of spending weeks compiling a competitor analysis, a strategist prompts, "Analyze the pricing models of our top 5 competitors," and gets a cited report in minutes. NotebookLM NotebookLM is a specialized tool to which you upload your preferred materials on a topic, like reports, research papers, YouTube videos, and more. It instantly becomes an expert on your information. You can then ask questions, get audio or video summaries, create slide decks, FAQs, and more. You can find NotebookLM in the Agents tab of Gemini Enterprise. Getting started Select it, load up your sources, and start interacting with the agent using natural language or by creating different materials (audio, video, etc.) with a few clicks. Value A busy executive loads a notebook with the most recent market reports and generates an audio overview. They can then catch up on rising trends while commuting, saving time while retaining core information.

Browse and create agents with Gemini Enterprise Agent Gallery Agent Gallery is your central hub for discovering, using, and managing agents. To access the gallery, go to Gemini Enterprise and click Agents in the navigation menu. The gallery displays all available agents, organized into these categories: Made by Google Ready-to-use and serving a specific function, such as Deep Research. From your organization Agents that your organization has created or shared with you. Custom agents that you can create using Agent Designer. You can use Agent Gallery to: Select and use any available agent to start a conversation and get help Create a new custom agent using Agent Designer Edit or delete the custom agents you have created Agent Designer Agent Designer is a no-code platform for creating, managing, and launching agents in Gemini Enterprise. With Agent Designer, you can: Create and preview custom agents using natural language prompts → Orchestrate complex tasks using multi-step agents (agents with subagents) Connect your agents to Google and third-party data sources and tools Schedule agent executions to run tasks on a recurring basis Your agents

Agent Designer canvas The Agent Designer canvas is an interactive, unified interface for building and configuring your agent. The canvas is divided into two main interfaces: Gemini Enterprise Pla Agent Designer Let me know if you wish to make any changes to your agent My Agent Ask to make changes M My Agent Schedule Details My Agent Description Agent to help interact with enterprise data. matructions Provide instructions here Model Gemini 25 Pro Connectors GGoogle Search Create 44/300000 0100000 Chat interface Provides a conversational interface to build and refine your agent using natural language prompts. It's perfect for no-code users who want to use Gemini's intelligence to quickly develop and adjust their agent's details, instructions, or behaviors. Designer interface Provides you with granular, low-code control over your agent's configuration and is organized into three tabs: Gemini Enterprise Plus Agent Designer Let me know if you wish to make any changes to your agent 'My Agent'. + Flow Presents a visual representation of your agent's workflow and control logic. Use the Flow tab to view the overall details of your main agent, manage the main agent and all individual subagents, and design complex, multi-step agents. Schedule Provides configuration options to set one or more execution schedules for your agent. Preview Ask to make changes Provides a live, interactive test environment for your agent. Use the Preview tab to test the agent's functionality and response as you build.

Connect your apps and data to Gemini Enterprise Pre-built connectors An Al model is only as good as the data it can access. That's why Gemini Enterprise connects with the organizational data of your choice to ensure answers are relevant and factual. This process is known as "grounding". Equally important, you can easily deselect data sources in case you don't want agents to have access. Gemini Enterprise includes pre-built connectors for commonly used applications like Google Workspace, Microsoft 365, Salesforce, ServiceNow, Jira, Confluence, Slack, Box, Dropbox, and Zendesk. This provides you a multimodal search interface with permissions-aware access to enterprise information. More connectors² are in the works. If a user asks, "what is the status of the Project Alpha contract?", Gemini will pull answers from actual sources and cite them, instead of inventing something that sounds convincing, but could be wrong. You can also build custom connectors³, which let you integrate external data sources that fall outside the Gemini Enterprise standard library, making your organization's unique data searchable and accessible. For sources like Google Drive, Gemini uses a zero-copy approach, meaning it retrieves information directly from the source at the time of the query without copying the data into a separate search index. salesforce + P G 2 Google Cloud, Connect a third-party data source, 2026

Gemini Enterprise integration with Microsoft 365 If your organization runs on Microsoft 365, Gemini Enterprise integrates directly into that ecosystem. It includes pre-built connectors for Outlook, SharePoint Online, OneDrive, and Microsoft Teams. This allows you to overlay Gemini's powerful Al models and reasoning onto your existing Microsoft data without complex migrations. For core Microsoft services like OneDrive and SharePoint Online, Gemini Enterprise also utilizes this zero-copy approach. This is a critical architectural distinction for IT leaders concerned with compliance and storage costs: Zero copying Gemini Enterprise retrieves information directly from the source system at the moment of query. It does not need to copy your proprietary documents into a separate Google search index to reason over them. Identity first The platform supports Microsoft Entra ID to manage user identities. This ensures that when a user searches for a contract in SharePoint, Gemini respects the exact user permissions and security rules you have already defined in Microsoft. Our integration with Microsoft 365 showcases a commitment to a secure and efficient architectural approach. The zero-copy foundation of Gemini Enterprise is a fundamental differentiator. The answers you receive are grounded in real-time information, and your existing security rules are always respected. This not only enhances data sovereignty and reduces compliance risks but also prevents the creation of new silos.

Example: Cross-platform workflow Consider a Project Manager who needs to synthesize data from Jira with a certain communication style found in a Word document in SharePoint for a status update. The prompt "Summarize the latest engineering risks from the 'Project X' Jira board and draft an update email to the steering committee based on the Word doc titled 'Communication Standards' found in SharePoint." The execution Gemini Enterprise queries Jira (for the risks) and SharePoint (for the style guide) simultaneously. It then synthesizes this cross-platform information into a cohesive draft. The result The user gets a ready-to-send email grounded in real-time data from two different ecosystems, achieved without logging into multiple dashboards or manually copying and pasting context.

Security, data governance, and policy controls Security and governance Security is a primary consideration for Al adoption. Our security promise is this: Your data is yours Your prompts, inputs, and company data are never used to train Google's foundation models. Permissions are respected When Gemini searches different systems, it respects existing access controls. If a user doesn't have permission to see something, Gemini won't summarize it for them. Gemini Enterprise can ease some of the governance and security challenges by acting as a single pane of glass for IT: Centralized dashboard IT admins can view, audit, and manage all agents across the organization, whether they were made by Google, co-built with a partner, or created individually by an employee. Model Armor This defense layer sits between the user and the model. It proactively screens for malicious inputs, like prompt injection attacks, and filters outputs to prevent leaks of sensitive data. Data sovereignty You can define where your data is stored and processed to meet regional regulatory requirements.

Example use-cases How does Gemini Enterprise translate into day-to-day help for specific departments? Let's look at how it can tackle friction points in different scenarios.

Enterprise Search Scenario An Account Executive is meeting with a high-stakes client and doesn't have much time to prepare. The pain Teams can spend hours looking for client info across CRMs, internal folders, and public databases. This makes meeting preparation labor-intensive and risks using outdated information. Ω The solution Using Gemini Enterprise to search for the necessary information gives you a unified view of your corporate data and the web. By connecting to platforms like Salesforce, SharePoint, and Google Drive, you get real-time, permissions-aware access to critical information faster and more reliably. Example prompt "My customer is Cymbal Insurance, and I'm meeting with their Head of Procurement on Thursday. Find their latest earnings report and give me a list of talking points."

Deep Research Scenario An executive at an automotive company is evaluating a pivot in EV charging components. Ω The solution Deep Research slashes this time from weeks to minutes. It doesn't just summarize search results, it explores complex topics on your behalf, synthesizing information across internal documents and external web sources into comprehensive, cited reports. The pain Strategic planning usually requires lots of "desk research", like reading market reports, analyzing competitor news, and synthesizing trends. When done manually, the process is slow, prone to bias, and can keep you stuck in data-gathering mode. Example prompt "Analyze the competitive landscape for EV charging in Northern Europe, focusing on recent regulatory changes and competitor supply chain vulnerabilities."

Data Insights Scenario A CFO notices an anomaly in Q3 global travel expenses but can't pinpoint the cause without a custom SQL query. The solution Data Insights allows employees to "talk" to their data. It can ingest raw files (CSVs, Sheets, Excel) and answer natural language questions. A The pain Complex spreadsheets are often where insights go to hide. Extracting a narrative from thousands of rows of raw data is tedious, error-prone, and usually requires a data analyst who is already overbooked. Example prompt The CFO uploads a raw expense ledger and asks the Data Insights agent to "Review it, uncover the top five expense categories for Q3 compared to Q2, and create a visualization of the analysis."

Upskilling your workforce with Al Upskilling and training people in Al across an organization can be hard. To succeed, organizations must consider their culture along with the technical skills people need to thrive with Al. This begins with the "human-in-the-Loop" mindset. Employees are "editors-in-chief" who retain full accountability for their work. This way, Al serves as a powerful engine to accelerate human creativity and judgment. Traditional training programs might not meet this moment. A more effective strategy involves micro-learning. Short and targeted educational modules allow users to learn specific skills for immediate application. Here are three pillars that can support a thriving culture of Al skills: Central guidance An Al council defines the governance and best practices for the organization. Internal champions Early adopters act as peer coaches to guide their teams and share success stories. Measurement Leaders must track adoption and sentiment, and devise different learning strategies for different levels of proficiency and usage.

Future-proof your Al strategy with partners and open industry standards Deep partner ecosystem No organization works with a single vendor, so Gemini Enterprise is fundamentally built on an open ecosystem philosophy, with a network of over 100,000 partners to ensure interoperability and prevent vendor lock-in. The objective is to let Al work wherever organizational data is. Open protocols We're heading toward a future where different Al agents can work together to get things done across different organizations. For this to happen, these tools need a safe way to handle business and payments. Google is pioneering the Agent2Agent (A2A) protocol and has co-developed the Agent Payments Protocol (AP2). Adopting Gemini Enterprise means building on a platform designed for this future of open, interoperable commerce. The Agent2Agent protocol A2A ensures that an agent built in Gemini can communicate and collaborate with an agent built on another stack. This matters because you might build a "customer service agent" in Gemini that needs to work with another agent running in, say, Salesforce. The A2A protocol allows these agents to handshake, share context, and execute the workflow securely. For an agent to truly take valuable action, like booking travel, procuring software licenses, or restocking inventory, it needs some spending authority.

The Agent Payments Protocol AP2 is an open-source standard developed by Google in collaboration with financial leaders, including American Express, Mastercard, PayPal, and Adyen. AP2 introduces verifiable credentials called "mandates" that act as secure digital contracts between you, the agent, and the merchant. Intent mandates This allows you to give an agent a specific mission with strict guardrails. Cart mandates For supervised tasks, the agent builds a "shopping cart" and presents it to you. When you approve, a "cart mandate" is signed, locking in the exact items, prices, and other details, so what you approve is exactly what gets purchased. Payment mandates A separate credential allows payment networks to identify that an Al agent initiated the transaction, enabling specialized fraud detection and risk management protocols. By adopting a platform built on open standards like A2A and AP2, you ensure your agents can work within the digital economy, not just one vendor's ecosystem.

Al that delivers at all levels, by Google Google offers a complete architecture spanning five layers, from the chips and infrastructure up to the models and agents. Google Cloud is the only provider that researches, engineers, and deploys all five of those layers in-house. We co-design the components to work as one system, and that deep integration provides an advantage. It allows you to deliver differentiated Al experiences with velocity, precision, and cost-efficiency at scale, all on a foundation of uncompromising security. At the base of it all is our Al Hypercomputer. Our supercomputing infrastructure gives you access to the latest TPUs, CPUs, and NVIDIA GPUs, integrated with open software and orchestration tools. All of this is designed to simplify Al infrastructure management, push the limits of performance, and ultimately deliver more intelligence per dollar. Gemini Enterprise, BigQuery, and Vertex Al Gemini Enterprise can easily connect with BigQuery and BigLake to better and more accurately activate data. And you can build custom agents using the Agent Development Kit (ADK) in Vertex Al that can be governed in Gemini Enterprise. The ADK provides enterprise blueprints to safely create custom agents in Vertex Al using the models of your choice for your industry and business.

Gemini Enterprise and Google Workspace Gemini Enterprise is built to connect to the apps your employees already use, including Microsoft 365, Salesforce, and more. However, organizations can unlock transformative Al value for individuals, teams, and the organization at large by connecting Gemini Enterprise with Google Workspace (Gmail, Drive, Docs, Sheets, Slides, and more). Gemini is integrated directly into Google Workspace apps. This means you can speed up the creation of documents and presentations with Al drafts that understand your tone and business context. You can also get useful Al meeting notes that are actionable and insightful. What's more, your work continues to inform the assistance you get across both Workspace and Gemini Enterprise, becoming even more personalized and helpful over time. This is possible due to contextual awareness. Because agents can reason and share memory, you don't need to re-prompt every time as you switch from one tool to the next: If you define a strategy in Docs, an agent in Gmail will know the context when you ask it to draft an update to the team. Notes taken by Gemini in Google Meet will be turned into nuanced suggestions and action items. Gemini will share them with the people in the meeting in a Doc. Presentations can be created with relevant sources from Drive. These presentations can then be turned into Al-powered videos with Vids. Gemini in Drive can tell you anything you need to know about your files, and it can also create audio overviews and summaries of your documents.

03 Getting started Help me leam Write anything Enter a prompt for Gemini + Tools Create image Beautify this slide

Partner with Google With Google Cloud, you get the advantage of a full Al stack. And to give you flexibility, we meet you where you are. We know many organizations live in a multi-vendor, multi-cloud world. Our platform is open by design, giving you the freedom to innovate with our tools without being trapped by them. Think of it as a "yes, and" strategy: Yes, our stack is engineered to work perfectly together. And each layer is designed to plug into what you already have. So whether you choose to go all-in on Google or adopt a multi-cloud approach, you keep the freedom to adapt your strategy in the future without the penalty of lock-in. Finally, innovation cannot come at the cost of stability. This is why we provide a foundation built on the same zero-trust security, sovereignty, and scale reliability that keeps Google Search and YouTube online for billions of users. Don't let your data stay trapped in silos or let your people waste time and energy. It is time to stop stitching disconnected tools together and adopt a unified system of intelligence. Contact our Sales team4 today to explore solutions, set up a trial, or learn more about Gemini Enterprise.

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