Gemini Enterprise: How to work with Google's AI platform for business.

Most businesses know Gemini as a chat tool. You ask a question, get an answer, and copy it to Word. That is nice, but it is a small fraction of what Google built for organizations. Gemini Enterprise is a complete platform, a single entry point for AI in the organization. It connects to your information sources, understands who is authorized to see what, comes with ready-made agent teams like Deep Research and NotebookLM, and allows every employee to build their own AI agent without a single line of code. This guide organizes the big picture: the difference between standard Gemini and Gemini Enterprise, how to work with organizational search, how to use built-in agents, how to build an agent in Agent Designer, how much it costs, and what you must check with IT before uploading sensitive information.

First things first: Gemini Enterprise touches your organizational data. Permissions, connecting information sources, and decisions about sensitive data are organizational decisions, not decisions for an individual employee. Everything related to connecting systems, customer data, and financial information must first go through the person responsible for IT and data protection at your company.

What is Gemini Enterprise actually

The five core components

• Organizational chat: Working with advanced Gemini models in a secure environment, based on organizational data
• Smart organizational search: A single query across all connected information sources, while maintaining user permissions
• Built-in agents: Deep Research for in-depth research, NotebookLM for working with sources, Data Insights for data analysis
• Agent Designer: Building agents in natural language, without code, including multi-step workflows and automatic scheduling
• Governance and security: Managing permissions, controlling agents, and an organizational gallery for sharing agents between teams

The difference between standard Gemini, Gemini in Workspace, and Gemini Enterprise

The four superpowers of daily work

The rule that changes everything: Do not write prompts alone

The meta-prompt: Asking Gemini to write the prompt

I need your help drafting a prompt. Do not execute the task yet. The task I want to achieve: {Free-text description, as you would explain it to a colleague} My role in the organization: {Role} The final output I need: {Email / presentation / report / table / infographic} Who this is intended for: {Target audience} Write me a full, professional prompt that I can paste into a new chat or into NotebookLM, including a role definition for the model, context, exact output structure, and an instruction not to invent facts. Only the prompt, without executing.

The shtrudel that unlocks everything: @ inside Gemini

Day-opening exercise: Letting Gemini organize your tasks

Task prioritization matrix prompt for today

Act as a productivity and time management expert. My role: {Your role} Take my task list and place each item into one of the four quadrants of a prioritization matrix: Y-axis (Importance): How much the task impacts results, clients, and ongoing operations. X-axis (Urgency): How time-sensitive the task is and whether it has an upcoming deadline. The quadrants: 1. Do now: Important and urgent 2. Plan: Important and not urgent 3. Delegate: Not important and urgent 4. Delete or postpone: Not important and not urgent My task list: {Paste your tasks here} Display the result as a clear list under each quadrant, and for each task in the do now quadrant, add an estimated execution time.

Gemini in Gmail: Where most of the real work happens

Help me write template for a business email

Write an email to {Recipient: client / supplier / colleague} regarding {Subject}. Goal: {What I want to happen after they read it} Points that must appear: - {Point 1} - {Point 2} - {Point 3} Tone: {Factual and direct / Warm and personal / Formal} Length: Up to {Number} lines. No bloated openings, straight to the point, and a closing sentence with a clear next step.

Workspace Studio: No-code automations from email

Ready-made automations to start with in Studio

• Morning summary of unread emails: Receive a digest every morning of what is waiting in your inbox, sorted by importance
• Tagging urgent emails: The agent identifies requests that require immediate attention and tags them the moment they arrive
• Automatic file saving: Every file attached to an incoming email is saved to a Drive folder and logged in a Sheets row
• Meeting summaries to Chat: After a meeting, a summary with action items is automatically sent to the team channel
• Daily news digest: Regular updates on the topics and clients that matter to you, delivered straight to your inbox

Organizational search: Asking one question instead of searching in five places

Template for a good organizational question

I am looking for information regarding: {Topic} Context: {Why I need this now, for which task} What I need to receive: {Short answer / list of relevant documents / summary of everything found} Important to me: - State which document or source each claim comes from - If there are conflicting versions of the same information, present both and note dates - If no information is found, state that none was found. Do not make things up

Built-in agents: A team of employees that comes with the platform

Which agent for which task

• Quick question on organizational knowledge: Main search, without a special agent
• Market research, competitors, or suppliers: Deep Research
• Analyzing materials you have on hand, such as contracts, reports, and meeting recordings: NotebookLM
• Tables and data that need to be turned into a decision: Data Insights
• A recurring weekly task: An agent you build in Agent Designer

Deep Research prompt for sales meeting preparation

Perform in-depth research on the company {Company name} ahead of a sales meeting. What I sell: {Your product or service} Gather and summarize: 1. What the company does, its size, market, and main clients 2. News and changes from the last six months: hiring, products, leadership changes 3. Expected challenges in their field that my product can solve 4. If internal information exists at our company about this company, such as previous correspondence or proposals, summarize that as well and note the source 5. Three smart questions to open the meeting 6. Two expected objections and a suggested response for each Present everything in English, in a one-page meeting prep sheet format. Cite a source for every factual claim.

NotebookLM Enterprise: The research tool in a version your organization can approve

Powerful business uses for NotebookLM Enterprise

• Deal room: All contracts, proposals, and correspondence for a single deal in one notebook, with quote-based Q&A
• Procedures notebook: All company procedures in one place, allowing the team to ask questions instead of searching
• Project debrief: Meeting transcripts and reports from a completed project, to answer questions like 'Where did we lose time and why'
• Management prep: Quarterly reports and work plans turned into an executive summary, presentation, or audio overview for the road
• Training materials: Turning existing organizational knowledge into training documents, quiz questionnaires, and mind maps for new employees

Want to dive deeper into NotebookLM?

All capabilities of Google's research tool: sources, podcasts, presentations, mind maps, and advanced tips

Gems: Your first permanent assistant

Design System prompt: Ensuring every output matches brand colors

Step 1, in a new Gemini chat: I want to create a Design System based on our website: {Website link} Extract from the site: precise color palette at the HEX code level, fonts, heading styles, visual atmosphere, and recurring design highlights. Step 2, after receiving the result: Now build me a full prompt from this for Gem instructions. Whenever I ask for a presentation, infographic, or new document for the organization, the Gem should apply this Design System to the output, so I can use the prompt in Gemini or NotebookLM and everything will come out with the same branding.

Further reading: Building a Gem step by step

Step-by-step guide to building a permanent AI assistant: instructions, tools, knowledge files, and team sharing

From image to video: Nano Banana and Veo

AI Master club opens its doors to you: A live weekly meeting, recordings, and community. 47 ILS per month, cancel anytime.

Veo Video Directing Prompt

Generate a video from the attached image. Context: {What the video is used for, e.g., introduction to a quarterly presentation} Directing: - Camera movement: {Slow zoom in / subtle pan left / static with movement in the scene} - Pace: {Very slow and calm / energetic} - What moves in the scene: {Clouds moving slowly, blinking lights, people walking in the background} - Atmosphere: {Professional and quiet / festive / dramatic} Keep the text in the image legible and stable throughout the entire video.

Continue reading: Images and Video with AI

Professional level image creation and editing: Advertisements, products, Hebrew text, and character consistency

The complete guide to creating and editing video with Google models, from prompt to finished clip

Agent Designer: Build an agent without a single line of code

Ideas for your first business agents

• Price quote agent: Receives customer details and needs, pulls pricing and terms from organizational documents, and returns a draft proposal in your fixed format
• Weekly status agent: Runs every Monday morning, collects updates from connected systems, and returns a one-page management report
• Employee onboarding agent: Answers new employee questions about procedures, vacations, and tools based solely on organizational documents
• Initial inquiry response agent: Drafts response templates for customer inquiries according to your tone and procedures, for human approval before sending
• Meeting preparation agent: Before every calendar meeting, summarizes customer history and open points

Prompt for building a new agent in Agent Designer

I want to build an agent for a repetitive task in the business. The task: {Task description} Who will use the agent: {Role or team} What the agent receives upon each activation: {Example: customer name, received email, file} Where the agent draws information from: {Procedure documents, proposals folder, specific system} What the output is each time: {Email, report, table, list of actions} Build me complete instructions for the agent, including: 1. Clear role definition 2. Organized work steps 3. Questions the agent should ask if information is missing 4. Fixed output structure 5. Ironclad rule: Do not invent prices, terms, or facts not found in the sources 6. When the agent must stop and hand over to a human

Connecting information sources: Where your data already lives

Security and permissions: What you need to know before you start

IT checklist before going live

• Review folder and system permissions, and verify no sensitive folders are open to everyone
• Decide which sources to connect in the first phase and which to postpone to the second phase
• Define who is authorized to build agents and who is authorized to share them across the organization
• Establish a rule regarding customer data, financial data, and personal data: what is allowed to be entered and what is not
• Brief the team: AI output goes through human review before reaching the customer

Editions and pricing: What to choose

Implementation plan for the first two weeks

Key point: The value of Gemini Enterprise is not in the chat. It is the moment when knowledge stuck in one employee's head or a forgotten folder becomes an asset that the entire organization asks questions about and builds agents upon.

FAQ

Gemini in Workspace helps inside the tools themselves: email, document, sheet. Gemini Enterprise is a separate platform that looks at all organizational knowledge together, including non-Google systems, and allows you to run and build AI agents. Many organizations work with both simultaneously.

Yes. Gemini Enterprise connects via ready-made connectors to Microsoft 365 and SharePoint as well, alongside Salesforce, Jira, and other systems. You do not have to work with Gmail or Drive to use the platform.

According to Google documents, organizational data in the Gemini Enterprise environment is not used to train the models. Still, internal policy dictates: which sources are connected, what information is entered, and who approves, these are decisions for your organization.

Not at all. Agent Designer is built precisely for this: describe the process in free language, the system builds the agent, and you can edit it on a visual canvas. For truly complex cases, Google also has a full development platform for developers, but most needs of small and medium businesses are solved without code.

As of July 2026: Business edition is sold at 21 dollars per user per month with an annual commitment, Standard at 30 dollars, and Plus at 50 dollars. The final price depends on region, deal size, and billing track, so verify with Google before deciding.

Neither one. First, organize permissions, connect one non-sensitive source, and practice a week of questions and searching. Only after the team is truly using it, build a first agent for a single repetitive task. Implementation that starts huge usually ends in nothing.

The major advantage is that answers come with source citations, so you can always click and check. The rule does not change: output going out to a customer, management, or authorities goes through human review. Especially numbers, prices, and commitments.

Official sources for further reading

Gemini Enterprise

The official platform page

Google's official product review: capabilities, agents, connections, and getting started path. The starting point for getting to know the platform.

Pro tip: This is also where you start the purchase process or contact Google sales.

Gemini Enterprise editions comparison

Business, Standard, Plus, and Frontline

Official document detailing what is included in each edition: connectors, storage volumes, agent building capabilities, and user limits.

Pro tip: Before a sales call with Google, review this table and mark what you truly need.

Agent Designer

Official documentation for building agents without code

Official guide for creating and managing agents: free language definition, visual canvas editing, multi-step agents, tool connection, and run scheduling.

Pro tip: Send this to the most organized employee on the team. Those are the people who build the best agents.

Workspace Studio

Automations and agents inside Gmail, Chat, and Drive

The official Workspace Studio page, including a gallery of ready made scenarios: daily email summaries, automatic file saving, meeting summaries, and more. Included in the Business and Enterprise plans of Workspace.

Tip for agents: Access it directly via studio.workspace.google.com using your organizational account.

Gemini in Gmail

The built in AI capabilities in the email inbox

The official page for Gemini capabilities in Gmail: thread summarization, Help me write, smart replies, side panel search, and file tagging with @.

Tip for agents: This is the page to send to an employee who says 'I have no time to learn a new tool'. Everything is already inside their email.

Gemini Enterprise Documentation Center

All technical documentation in one place

The entry point for complete documentation: list of connectors, admin settings, security and encryption, logs, agent management, and the mobile app. The place for any technical question that arises during implementation.

Tip for agents: This is the link that saves whoever implements it at your company hours of guesswork. Save it in your bookmarks.

NotebookLM Enterprise

The official documentation for the enterprise version

Official overview of NotebookLM Enterprise: differences from the free version, supported file types, source and notebook limits, and security and corporate identity requirements.

Tip for agents: If information security has blocked the free NotebookLM for you, this is the document that reopens the conversation.

The next step: Do not start with the technology, start with the process. Choose one task that costs the team an hour a week, write down how it works today, and then build an agent for it. One working process is worth more than ten connections that no one uses.