Google Workspace AI Features Explained With Gemini

What Gemini Actually Adds to Google Workspace

Gemini is the AI layer sitting inside apps you already use, not a separate product you have to open. It writes drafts, summarizes threads, builds formulas, and takes meeting notes without leaving Gmail, Docs, Sheets, or Meet.

How Gemini Moved From Paid Add-On to Built-In Feature

Earlier, AI in Google Workspace meant a separate line item: a $20–$ 30-per-user add-on layered on top of your existing plan. Google restructured that model, folding Gemini directly into the paid Business and Enterprise editions and raising base prices by roughly 17–22% to absorb the cost, rather than keeping AI an opt-in purchase. There is no paid Workspace version sold today without some level of Gemini access included.

The practical effect is that most organizations already have Gemini turned on somewhere in their domain, whether or not anyone has used it. Google’s own prompts in Gmail, Docs, and Sheets are easy to miss if no one points them out, which is why many teams discover mid-year that a feature they assumed required an upgrade has been sitting in the interface the entire time. Business Starter includes the lightest version, focused mainly on Gmail; Business Standard and above extend Gemini across the core apps used for daily document and data work.

Why “Which Tier Includes It” Keeps Changing

This is the one caveat worth flagging once, clearly, rather than repeating throughout this post: Google has changed which specific Gemini capabilities sit in which tier several times over the past eighteen months, and it is likely to keep doing so as new models and features ship. Gemini 3 Flash is the default model powering most Workspace AI interactions, with Gemini 3 Pro available for more complex reasoning through the AI Expanded Access add-on. That split has already shifted once this year.

Treat the feature-to-tier mapping in this post as accurate as of publication, then confirm current inclusion in your Admin Console or with your reseller before making a purchasing decision based on a specific capability. This applies most to newer features, Workspace Studio, speech translation, and advanced image and video generation, where promotional access to higher usage limits is currently scheduled to shift toward paid add-on tiers on defined dates rather than staying free indefinitely. Core features like Gmail drafting and Meet notes are stable; the edges of the AI feature set are not.

Drafting Emails Faster With Gemini in Gmail

Email is where Gemini shows up first for most users because it is the app people open most often and the one where a slow draft costs the most cumulative time over the course of the week. Two features do most of the work here: generating drafts from a prompt and reviewing drafts you’ve already written.

Help Me Write and Smart Reply in Daily Use

Help Me Write turns a subject line or a few rough bullet points into a complete, tone-adjusted email draft in seconds, adapting formality based on context; a note to a vendor reads more formally than a reply to a teammate about scheduling lunch. Smart Reply goes further than older canned-response suggestions by reading the thread’s actual content and proposing replies that match what was said, not a generic acknowledgment. Neither feature requires a separate license beyond the Business Standard tier.

Where this earns its keep is with repetitive but non-trivial email types: status updates, meeting follow-ups, and vendor correspondence that follow a predictable structure yet still need to sound human. The draft Gemini produces on the first pass is rarely publish-ready, but it typically gets a writer most of the way there, which matters more for people who dread the blank compose window than for people who type fast. Long threads get a similar treatment; Gemini can summarize a forty-message thread into a handful of sentences covering decisions made, action items assigned, and questions still open, saving the “catch me up” scroll entirely.

Gemini Proofreading vs. Predictive Smart Compose

It’s worth separating two Gmail features that get confused, since they both involve suggestions appearing as you type. Smart Compose is predictive; it guesses the next few words as you write and lets you accept them with the Tab key. Gemini proofreading is reactive; it automatically underlines wordy, passive, or structurally flawed sentences inline within the compose window after you’ve written them, reviewing completed drafts for conciseness, active voice, sentence structure, tone, and word choice.

Because the suggestions appear as quiet inline underlines rather than a pop-up sidebar, a meaningful share of users never notice the feature is active, which is a design choice, not a bug. Proofreading is available on all paid Workspace plans, including Business Starter. It is enabled by default. If. If it isn’t showing up, the fix is usually to check Gmail’s General settings rather than assuming an upgrade is required. For teams where email tone matters (client-facing sales, support, or leadership communication), this is one of the higher-value Gemini features precisely because it works without anyone having to remember to invoke it.

Gemini Feature Comparison Across Google Workspace Apps

Turning Rough Notes Into Polished Documents in Google Docs

Docs get the same drafting-and-summarizing pattern as Gmail, scaled up to longer documents: proposals, policies, and reports that would otherwise take an hour of staring at a blank page before the first paragraph gets written.

Generating a First Draft From Bullet Points

Feed Gemini a topic, an audience, and a handful of bullet points, and it produces a structured first draft, headings, paragraphs, and a logical flow that a writer can then edit rather than originate from nothing. This matters most for document types people write repeatedly but not often enough to have a template memorized: a project kickoff brief, a policy update, a client-facing summary. The time saved isn’t in the final polish, which still requires human judgment, but in getting past the initial structural decisions that take the most time when starting from scratch.

The same underlying model handles tone adjustments to existing text, making a draft more formal, more concise, or more approachable without a full rewrite, which is useful when the same core content needs to reach two different audiences, such as an internal update and an external client note, both built from the same facts. None of this replaces subject-matter expertise; it removes the mechanical friction of getting words on the page in a reasonable first shape.

Summarizing Long Documents and Threads

The reverse capability, compressing rather than generating, shows up when someone needs to understand a document without reading all of it: a fifteen-page vendor contract, a long internal wiki page, or a document thread with dozens of suggested edits and comments. Gemini can produce a summary of key points, flag open questions in comments, and highlight sections that changed significantly from a previous version, which is a meaningfully different task from generating original text and uses the same side-panel interface.

This is particularly useful in organizations where documents accumulate faster than anyone has time to review them: onboarding guides, old meeting notes, archived proposals. Rather than manually skimming, a manager or new hire can ask a direct question about a document’s content and get an answer grounded in that specific file, which cuts down on the “does anyone know what this doc actually says” messages that clutter most team chat channels.

Building Formulas and Reading Data in Google Sheets Without a Spreadsheet Background

Sheets is where Gemini’s value is least visible on the surface and most concrete beneath the surface, because spreadsheet formulas are a skill most business users never fully learn, even after years of using the product daily.

Natural-Language Formula Generation

Describe what you want in plain language, “flag every row where revenue dropped more than 10% from the prior month”, and Gemini generates the corresponding formula rather than requiring the user to know VLOOKUP, nested IF statements, or array syntax from memory. This closes a real skills gap: most people who use spreadsheets daily have never built a formula more complex than a basic SUM, and previously had to learn formula syntax from scratch or interrupt someone else’s day to ask for help.

The generated formula appears in the cell as normal Sheets syntax, meaning it’s fully editable and auditable afterward; nothing is hidden behind a black box the way some AI tools obscure their output. This matters specifically for finance and operations teams, where a formula needs to be verifiable by a second person during an audit or a handoff, not just trusted because an AI produced it. Teams report the biggest gains on recurring reports that used to require a spreadsheet-literate person to rebuild formulas each cycle.

Asking Sheets Questions About Your Own Data

Beyond formula generation, Gemini can answer direct questions about the data already in a sheet, such as which region underperformed, what the month-over-month trend looks like, and which rows are outliers, without the user having to build a pivot table or chart first. This shifts the interaction from “build the analysis, then look at it” to “ask the question, get an answer,” which is a meaningfully faster loop for anyone who needs an occasional data answer but isn’t a full-time analyst.

Insight generation works best on data that’s already reasonably clean and structured; messy source data with inconsistent formatting or merged cells produces less reliable results, which is worth knowing before trusting an automated summary for something that goes into a board deck. For teams that maintain recurring trackers, sales pipelines, inventory counts, and project timelines, this feature turns a spreadsheet from a static record into an interactive dashboard without requiring anyone to learn a business intelligence tool.

Capturing Meeting Notes Automatically in Google Meet

Meet’s AI feature set solves a specific, universal complaint: someone always has to volunteer to take notes, and that person usually participates less in the meeting because they’re busy typing instead of talking.

How Take Notes for Me Works During a Live Call

Take Notes for Me listens during a live Meet call and produces a structured summary afterward, including key discussion points, decisions made, and action items with the person assigned to each, which is automatically delivered to a linked Doc after the meeting ends. Every participant with the feature enabled can access the resulting notes without anyone having to manually type through the call, which removes both the awkwardness of assigning a note-taker and the accuracy loss that comes from one person’s attention being split.

This runs alongside meeting recording rather than replacing it on plans where recording is included, giving teams both a searchable summary and a full recording to check when something in the summary needs verification. Every paid Google Workspace plan grants a 24-hour meeting duration limit, so note-taking on long working sessions or all-day workshops isn’t cut off by the same 60-minute cap that applies to free personal accounts.

What Gets Missed When AI Note-Taking Runs Unsupervised

The failure mode worth planning for is treating the generated summary as a verbatim transcript rather than what it actually is: an AI-condensed interpretation of what was said. Overlapping speakers, sarcasm, side conversations, and heavily accented or fast speech all degrade summary accuracy in ways that aren’t obvious unless someone spot-checks against the recording. For meetings where the exact wording matters, legal discussions, performance conversations, anything that might get referenced later in a dispute, the summary should supplement a human note-taker or the recording, not replace either.

The other common gap is action items assigned to the wrong person when multiple people discuss a task before ownership is explicitly stated out loud. Teams that get the most reliable results tend to develop a habit of stating decisions and owners explicitly during the call, “so Priya, you’ll own the vendor follow-up by Friday”, which gives the model a clean, attributable sentence to summarize rather than an ambiguous group discussion to interpret.

Smart Features That Work Quietly in the Background Across Every App

Beyond the headline drafting and note-taking tools, Gemini runs a set of lower-profile features across Drive, Chat, and an automation layer called Workspace Studio that most users never explicitly invoke but benefit from constantly.

Gemini in the Side Panel of Drive and Chat

Ask Gemini in Drive lets users query their entire file library in natural language, compare two vendor contracts for cost differences, find every file related to a specific client, or summarize a document without opening it first. This is distinct from Docs-level summarization because it operates across an entire library rather than one open file, which matters for anyone managing a large shared drive full of contracts, proposals, or archived project files that would otherwise require manual searching by filename or folder.

In Chat, the same underlying model summarizes long channel threads and generates smart replies that reflect the actual content of a conversation rather than generic canned responses. Both features live in a consistent side-panel interface across apps, which is a deliberate design choice. Once a user learns the Gemini panel in Gmail, the same interaction pattern carries over to Drive and Chat without a separate learning curve, reducing the training overhead for rolling out AI features to a full team.

Workspace Studio and Automated Follow-Up Tasks

Workspace Studio is an agentic automation hub built into Workspace that lets users create workflows in plain English without code, automating email labeling, generating a report from Sheets data on a schedule, or creating a follow-up task doc automatically after every recorded call. This moves Gemini from something used feature-by-feature to something that runs a persistent, standing workflow without requiring a person to trigger it each time.

Workspace Studio is now available for Rapid Release domains with promotional access to higher usage limits; once those limits are enforced, the exact caps have not yet been published by Google. Teams experimenting with Studio automations now should treat current unlimited-feeling access as temporary rather than assuming today’s usage pattern will remain unrestricted indefinitely, a detail worth building into planning rather than discovering after limits change.

Which Gemini Features Come Standard vs. Require the AI Expanded Access Add-On

Most day-to-day Gemini use falls under standard, no-extra-cost access included in a paid plan. A smaller set of higher-usage and higher-capability features sits behind a separate add-on, and understanding which is which prevents both under-provisioning power users and overpaying for capacity nobody needs.

What Business Standard and Include Out of the Box

Business Starter includes basic Gemini access limited to Gmail and the standalone Gemini app, with no AI assistance in Docs, Sheets, Slides, Drive, or Meet. Moving to Business Standard or above unlocks the full set covered earlier in this post: AI writing assistance in Docs, data analysis help in Sheets, slide generation in Slides, file summarization in Drive, meeting summaries in Meet, and chat summaries, all included in the base subscription price with no separate AI license to manage.

For the vast majority of small and mid-sized teams, this standard tier of access covers real daily usage without ever approaching a usage cap. Drafting emails, summarizing documents, generating formulas, and capturing meeting notes are all everyday-volume tasks, not the kind of high-frequency, high-compute usage that triggers the limits the add-on exists to raise. Teams evaluating whether they need more than the standard tier should look at actual usage patterns over a few weeks before assuming an upgrade is necessary.

Standard Access vs. AI Expanded Access Add-On

When AI Expanded Access Actually Pays Off

AI Expanded Access is a separate add-on available to Business Standard, Business Plus, Enterprise Standard, and Enterprise Plus customers that raises usage limits for capacity-intensive Gemini features and unlocks higher access to Gemini 3 Pro for deep reasoning, expanded NotebookLM source libraries, more Workspace Studio automations, and real-time meeting speech translation. Google previously sold a higher AI Ultra Access tier, which is no longer available for new purchases, while existing subscribers automatically transition to AI Expanded Access at renewal.

The clearest signal that a team should look at this add-on is hitting an actual published usage cap, not a hunch that “more AI” would help. A typical team using Gemini for routine drafting and meeting summaries rarely reaches the standard limits in the first place; the add-on exists for power users generating high volumes of images, video, or Workspace Studio automations who are running into real caps during normal work, not for organizations hoping added spend will unlock better output from the same everyday tasks.

Data Privacy and Admin Controls Around Gemini Usage

AI features raise an immediate question for any IT-conscious buyer: what happens to the data Gemini reads while drafting an email or summarizing a document? The short answer is that Gemini runs inside Workspace’s existing data protection framework rather than as a separate system with its own rules.

How Workspace Data Protections Apply to AI Features

Existing Google Workspace data protections automatically apply to AI features, meaning the same access controls, encryption, and data-handling commitments that already govern a customer’s email and documents also govern how Gemini processes that content when generating a draft or summary. Content a user’s Gemini session touches, a document being summarized, or an email being drafted, stays within the organization’s existing Workspace data boundary rather than being pooled with other customers’ data or used to improve models serving other organizations.

This matters most for regulated industries evaluating whether AI features introduce new compliance exposure. Google Cloud and Google Workspace hold ISO/IEC 27001:2022 certification for information security management, and both undergo regular third-party SOC 2 Type II audits that evaluate security, availability, processing integrity, confidentiality, and privacy controls. Reports are available to customers through Google’s Compliance Reports Manager. These certifications apply to the platform Gemini runs inside, not to a separate AI-specific audit trail, since Gemini isn’t architected as a bolt-on outside that boundary.

What Admins Can Toggle On or Off

Admins can turn access to the standalone Gemini app on or off, enable or disable NotebookLM as an additional service, control Google Vids access, manage whether users can let AI take notes in meetings, and turn Workspace Studio on or off entirely, with the option to further restrict Gemini’s access to Workspace Studio through API-level controls. None of these toggles require contacting Google support; they’re available directly in the Admin Console under Generative AI settings.

Manageable access to Gemini features embedded within Workspace services, rather than the standalone app, is available on Enterprise editions, giving IT teams at that tier more granular control over which in-app AI features are active by organizational unit. For smaller organizations on Business tiers, control is generally at the user or domain level rather than at the fine-grained feature or department level, which is a real trade-off worth knowing before assuming Enterprise-level admin flexibility exists at a lower tier.

Common Mistakes Teams Make When Rolling Out Gemini

Most Gemini disappointment traces back to two predictable mistakes rather than any actual gap in the feature set: misjudging what the tool is good at, and never telling anyone the features exist in the first place.

Treating Gemini Like a Search Engine Instead of a Draft Partner

The most common frustration reported by new users is asking Gemini a factual question and expecting an authoritative answer, as a search engine would, rather than treating its output as a draft to be checked. Gemini is strongest at producing a reasonable first pass, a draft email, a first-cut formula, a rough meeting summary, that a human then reviews, not at being the final source of truth on a factual claim, a legal position, or a number that will be repeated externally.

This distinction matters most in Sheets and Docs, where a generated formula or summary can look confident yet still be wrong if the underlying data is messy or the prompt is ambiguous. Teams that get consistent value treat every Gemini output as a starting draft requiring a quick human check, the same way they’d treat a first draft from a junior team member, useful, often mostly right, but not something to publish or act on without a review pass first.

Never Telling Staff the Features Already Exist

Because Gemini’s prompts appear as subtle in-app cues rather than a loud onboarding banner, a large share of employees at organizations that already pay for full Gemini access never discover that most of the features are active, this is more a communication failure than a product one: the AI assistance is already included in the subscription, but nobody told the team it exists, what it’s good for, or how to turn it on for a given app.

The fix is a short, deliberate rollout rather than assuming self-discovery: a fifteen-minute walkthrough that covers Help Me Write in Gmail, formula generation in Sheets, and Take Notes for Me in Meet in one sitting. Organizations that skip this step routinely pay for AI Expanded Access to fix a perceived capability gap, when the real issue was that Business Standard’s included features were never demonstrated to the people who’d use them daily.

Measuring Whether Gemini Is Actually Saving Your Team Time

Feature access isn’t the same as measured value. The last piece of rolling Gemini out well is deliberately deciding what “working” looks like and checking against it, rather than assuming adoption equals benefit.

Signals Worth Tracking in the First 90 Days

Useful early signals include how often Help Me Write and Smart Reply are actually accepted rather than dismissed, whether meeting summaries are frequently corrected after a call (a sign the model is struggling with that team’s meeting style), and whether Sheets formula generation is used for recurring reports versus one-off questions. Admins can review feature usage levels by feature, user, and app through Generative AI reports in the Admin Console, which gives a factual usage baseline rather than relying on anecdotal impressions from a few vocal team members.

A meaningful gap between how much a feature is enabled and how much it’s actually used usually points to a training gap rather than a feature that doesn’t fit the team; the fix is closer to the “never telling staff” problem covered earlier than to a genuine capability shortfall. Tracking this over ninety days, rather than judging in the first week, accounts for the adjustment period most teams need before AI drafting becomes a habitual part of how they write and analyze rather than a novelty they try once.

When to Involve an Implementation Partner Instead of Guessing

Teams that hit real ambiguity, unclear whether a usage plateau means the feature genuinely isn’t useful for their workflow, or whether it’s a training and habit problem, benefit from an outside read rather than continuing to guess internally. An implementation partner who has observed this pattern across multiple domains can usually tell within a short review whether the issue is feature fit, configuration, or simply that nobody has shown the team how a specific capability applies to their actual daily work.

This is also where priority support routing becomes genuinely useful rather than a nice-to-have: a specific question about why a Sheets formula isn’t generating correctly, or why meeting notes missed a decision, gets resolved faster through a dedicated support relationship than through Google’s general self-serve support queue, which isn’t built around a single organization’s specific rollout history and usage patterns.

Frequently Asked Questions

Does Google Workspace include Gemini AI?

Yes. Gemini is built directly into every paid Google Workspace Business and Enterprise plan rather than sold as a separate product. Business Starter includes a limited version focused mainly on Gmail drafting and proofreading, along with access to the standalone Gemini app. Business Standard and above extend Gemini into Docs, Sheets, Slides, Drive, Meet, and Chat, covering drafting, summarization, formula generation, and automatic meeting notes. There is currently no way to purchase paid Google Workspace without some level of Gemini included, and Google has stated it does not plan to offer an AI-free version of paid plans in the future. Free personal Google accounts do not receive the same in-app Workspace integration.

Do I need to pay extra for Gemini in Google Workspace?

No, not for the core features most teams use daily. Gemini’s drafting, summarizing, formula generation, and meeting-note capabilities are included in the base subscription price for Business Standard and above, with no separate license or per-feature toggle to purchase. A paid add-on called AI Expanded Access exists. Still, it’s specifically for increasing usage limits on capacity-intensive features such as advanced image and video generation, expanded NotebookLM libraries, and higher Workspace Studio automation caps. Most organizations using Gemini for everyday email, document, and meeting tasks never approach the limits this add-on is designed to raise, making it unnecessary for typical daily use.

Which Google Workspace plan has full Gemini access in Docs and Sheets?

Business Standard is the entry point for full Gemini access across Docs, Sheets, Slides, Drive, Meet, and Chat. Business Starter limits Gemini mainly to Gmail’s Help Me Write and proofreading features, plus access to the standalone Gemini app, but it does not include AI assistance in Docs or Sheets. Business Plus and Enterprise editions include the same core Gemini feature set as Business Standard, with the difference at higher tiers being larger Meet participant caps, expanded storage, and additional security and compliance tooling rather than a fundamentally different AI feature set. Teams choosing between tiers for AI access specifically should treat Business Standard as the practical minimum.

Does Gemini take notes automatically in every Google Meet call?

Take Notes for Me is available on Business Standard and above. Still, it isn’t automatically active in every meeting. A host or participant needs to turn it on for that specific call, and admins can control whether the feature is available to users at all through the Admin Console. When enabled, it produces a structured summary that covers key discussion points, decisions, and assigned action items, which is delivered to a linked Google Doc after the call ends. It works alongside meeting recording rather than replacing it on plans that include recording. The feature should be treated as a helpful summary rather than a verbatim transcript, since overlapping speakers and unclear phrasing can affect summary accuracy.

Can I turn off Gemini AI features for my organization?

Yes, admins have granular control over most Gemini features through the Admin Console’s Generative AI settings. This includes turning access to the standalone Gemini app on or off, disabling NotebookLM as an additional service, controlling Google Vids access, managing whether AI note-taking is available in meetings, and turning Workspace Studio off entirely, with further API-level restrictions available for Workspace Studio specifically. More granular control over Gemini features embedded in individual Workspace apps, rather than in the standalone app, is available on Enterprise editions. Business-tier organizations generally manage access at the user or domain level rather than at the fine-grained feature or department level.

Does Gemini use my company’s emails and documents to train its AI models?

Google states that existing Google Workspace data protections automatically apply to Gemini and other AI features, meaning the access controls and data-handling commitments that already cover a customer’s email and files also extend to how those AI features process that content. Content Gemini touches while drafting an email or summarizing a document remains within the organization’s existing Workspace data boundary and is not used to train models serving other customers. Google Workspace holds ISO/IEC 27001:2022 certification. It undergoes regular third-party SOC 2 Type II audits covering security, confidentiality, and privacy controls, with detailed reports available to customers through Google’s Compliance Reports Manager for organizations that need documentation for their own compliance reviews.

What is the difference between Gemini in Gmail and the standalone Gemini app?

Gemini in Gmail is a feature embedded directly in the compose window and side panel, Help Me Write, proofreading, and Smart Reply, that works specifically with email content and requires no separate login or interface. The standalone Gemini app, accessed at gemini.google.com or through a mobile app, is a general-purpose AI chat assistant for brainstorming, research, and open-ended questions unrelated to a specific document or email. Business Starter includes access to both, but only the lightweight Gmail-embedded version; Business Standard and above add Gemini directly inside Docs, Sheets, Slides, Drive, and Meet as well, following the same side-panel pattern used in Gmail.

What is Workspace Studio, and is it included with Gemini?

Workspace Studio is a no-code automation platform, generally available with Business and Enterprise plans, that lets users build AI-driven workflows in plain English without writing code, automatically labeling emails, generating scheduled reports from Sheets data, or creating a follow-up task document after every recorded meeting. It’s included as part of standard Gemini access rather than requiring a separate purchase. However, promotional access to higher automation limits is scheduled to shift toward enforced caps, with Google not yet having published the final enforced limits. Teams currently experimenting with Studio should expect usage limits to become more defined later this year.

How accurate are Gemini’s meeting notes and summaries?

Accuracy is generally strong for clear, single-speaker discussion but degrades with overlapping speakers, heavy accents, fast speech, or side conversations happening simultaneously with the main discussion. The bigger practical risk isn’t factual errors so much as misattributed action items, which happen when multiple people discuss a task before a specific owner is explicitly stated out loud. Meetings where exact wording carries legal or compliance weight should treat the AI summary as a supplement to a recording or a human note-taker rather than a replacement for either. Teams that explicitly state decisions and owners during the call (“Priya, you’ll own this by Friday”) consistently get more reliable, attributable summaries than teams that let ownership stay implicit.

Do I need AI Expanded Access if my team already has Gemini?

Most teams do not. AI Expanded Access exists specifically to raise usage limits for capacity-intensive features, higher-volume image and video generation, expanded NotebookLM source libraries, and additional Workspace Studio automation runs for organizations that are genuinely hitting the caps included in standard access. Everyday tasks like drafting emails, summarizing documents, generating spreadsheet formulas, and capturing meeting notes rarely approach those limits for teams of typical size. The clearest signal it’s worth evaluating is an actual published usage limit being reached during normal work, not a general sense that more AI capacity would be nice to have. Reviewing Admin Console usage reports before purchasing helps avoid paying for unused capacity.

Glossary

Gemini: Google’s AI model family, embedded directly inside Workspace apps (Gmail, Docs, Sheets, Meet, Drive, Chat) and also available as a standalone chat assistant at gemini.google.com.

Help Me Write: A Gemini feature in Gmail and Docs that generates a full draft from a short prompt, subject line, or set of bullet points.

Take Notes for Me: A Gemini feature in Google Meet that produces a structured post-call summary covering decisions and action items, delivered to a linked Doc.

Workspace Studio: A no-code automation platform built into Workspace that lets users create AI-driven workflows in plain English, without writing code.

AI Expanded Access: A paid add-on that raises usage limits on capacity-intensive Gemini features, such as high-volume image or video generation and expanded Workspace Studio automations.

Side panel: The consistent Gemini interface element appears alongside the main content area in Gmail, Docs, Sheets, Drive, and Chat, used to invoke AI features without leaving the app.

Pooled storage: Storage allocated per user under a Workspace plan that is shared across an organization’s total account, rather than capped individually per person.