Key takeaways
✓Gems are custom AI personas you configure once and share across your team, so every colleague starts a conversation with the right context, tone, and constraints already in place.
✓Building a useful Gem comes down to three things: a clear role definition, specific instructions about what the Gem should and should not do, and enough context about your team's work to make responses immediately relevant.
✓Gems are available on Gemini for Google Workspace at the Business and Enterprise tiers, with admin controls that let you govern who can create and share them.
✓The highest-value enterprise use cases tend to be repetitive, language-heavy tasks: drafting client communications, reviewing documents against a style guide, or summarising meeting notes in a consistent format.
✓A Gem is only as good as the prompt behind it. Teams that invest time in writing clear, tested instructions get far better results than those who treat Gem setup as a five-minute job.
What are Gems and why do they matter for enterprise teams?
A Gem is a saved, reusable version of Gemini configured with a specific persona, set of instructions, and default context. Instead of typing a long prompt every time someone needs Gemini to behave a certain way, a Gem encodes that behaviour once and makes it available on demand.
The practical difference matters more than it might first appear. A standard Gemini prompt is ephemeral. You type it, get a response, and the configuration disappears when the conversation ends. Someone else on your team opens Gemini and starts from scratch. A Gem persists. It carries your instructions into every conversation that uses it, consistently, for every person who has access to it.
Think of a Gem as a lightweight specialist. A marketing team might have one configured to write in the company's brand voice, referencing a style guide pasted into its instructions. A legal team might have one that always flags assumptions and asks for source documents before drafting. A project manager might have one that turns meeting notes into RAID logs (Risks, Assumptions, Issues, Dependencies) without needing a prompt reminder each time. The Gem remembers the job; the user just starts the conversation.
The difference between a prompt and a Gem
A prompt tells Gemini what to do once. A Gem tells Gemini what kind of assistant to be, every time it is opened. That distinction is what makes Gems worth building at a team level rather than leaving everyone to maintain their own prompts.
For enterprise teams, this closes a gap that most organisations running Gemini for Workspace quietly struggle with. Individual staff members develop effective prompts, then those prompts live in a personal notes file or nowhere at all. When someone leaves, or when a new hire joins, the institutional knowledge disappears. Gems shift that knowledge into a shared, repeatable asset.
They also enforce a baseline of quality. If your team's Gem for responding to customer complaints always includes a tone check and a compliance reminder, every response that flows through that Gem starts with those guardrails in place. You are not relying on individuals to remember. That consistency is what makes Gems relevant at the enterprise level, not just as a personal productivity trick.
Gems are available in Gemini for Google Workspace at certain licence tiers. If you want an honest account of what is and is not included across Workspace editions before building your setup, the candid enterprise review of Gemini for Workspace is a useful starting point.
How do Gems work inside Gemini for Google Workspace?
Gems live inside Gemini, Google's AI assistant, and are accessible from the Gemini app or directly within supported Workspace apps. In an enterprise environment with a Gemini for Google Workspace licence, the experience is tied to your organisation's Google account, which matters for data handling and access control.
Where Gems are created and stored
Any user with a qualifying Workspace licence can create a Gem from the Gemini app by navigating to the Gem manager and clicking "New Gem". The setup screen asks for three things: a name, a description (which helps teammates understand what the Gem is for), and a set of instructions written in plain language. You can also attach files, such as a style guide, a process document, or a set of approved templates, and the Gem will reference those materials when generating responses.
Once created, a Gem is saved to the creator's account by default. Sharing it with teammates requires a deliberate step: you copy a link and distribute it, or, in supported configurations, your administrator can make a Gem available more broadly. This is worth understanding before you build, because a Gem sitting in one person's account does nothing for team consistency.
The difference between personal Gems and shared Gems
Personal Gems are exactly what the name implies. They are useful for individual workflows but do not address the coordination problem that makes AI adoption across a team genuinely hard.
Shared Gems are where the enterprise value sits. When a team lead publishes a Gem for a shared workflow, such as drafting client-facing summaries or triaging incoming requests, every team member works from the same instructions and the same attached reference materials. The output becomes predictable in a way that individual prompting rarely achieves.
Shared Gems solve the consistency problem
A single well-built shared Gem replaces dozens of slightly different prompts scattered across your team. Consistency in inputs produces consistency in outputs, which is what makes AI useful at scale rather than just individually impressive.
How enterprise access controls apply
Workspace administrators can manage Gem access through the Google Admin console. They can restrict who is permitted to create Gems, limit the ability to share Gems outside the organisation, and audit which Gems exist. For teams with strict information handling requirements, these controls matter: a Gem with a sensitive briefing document attached should not be shareable with a personal Gmail account.
It is also worth noting that Gems operate within Gemini's broader data governance posture for Workspace. Google's enterprise agreement means your prompts and the model's responses are not used to train Google's models, and data stays within your Workspace environment. If you have not already reviewed how Gemini handles enterprise data, that is a useful complement to understanding what you are building on.
How do you build a Gem that your team will actually use?
The difference between a Gem that gets used every day and one that gets forgotten after a week usually comes down to three things: a clear purpose, a well-written system prompt, and a proper test before you share it.
Start with a single job
The most common mistake is building a Gem that tries to do too much. A Gem called "Marketing Assistant" that can write copy, brief campaigns, analyse competitors, and format reports will confuse both the model and your team. Scope it tightly. A Gem called "Campaign Brief Writer" that takes a product, audience, and goal and returns a structured brief is far easier to use consistently.
Before you open the Gem builder, write one sentence that completes this prompt: "This Gem exists to help [role] do [specific task] faster by [mechanism]." If you can't finish that sentence cleanly, the scope needs narrowing.
Write the system prompt in plain English
The system prompt is the set of standing instructions Gemini reads before every conversation inside your Gem. You write it once; it runs every time. Think of it as a detailed briefing to a capable colleague, not a magic spell.
A practical system prompt covers four things:
Role and context. Who is the Gem acting as, and what does it know about your organisation or team? ("You are a procurement assistant for an Australian mid-market professional services firm. You help staff draft supplier briefing documents and evaluate vendor responses.")
Task scope. What should the Gem do, and equally important, what should it not do? ("Only help with procurement-related requests. If asked for legal advice, direct the user to the legal team.")
Output format. How should responses be structured? ("Always return output as a numbered list followed by a short summary paragraph. Keep the total response under 400 words unless the user asks for more detail.")
Tone and constraints. Any style guidance, required disclaimers, or data-handling caveats your team needs. ("Do not ask users to paste in confidential supplier pricing. Use plain Australian English.")
Keep the system prompt under 500 words to start. You can always add detail once you see where users get unexpected results.
The system prompt is doing more work than you think
Every response your team gets from a Gem flows through those standing instructions. A vague prompt produces inconsistent output. A prompt with clear scope, format guidance, and constraints produces output people can actually act on.
Name it for the task, not the technology
Naming conventions matter more than they sound. "Gemini Procurement Gem v2" tells a busy team member nothing useful when they're looking at a list of six Gems on a Monday morning. "Supplier Brief Builder" or "Contract Review Prep" tells them exactly what to open.
Use a verb-noun structure where you can. Keep names under five words. If your organisation has multiple Gems covering similar ground (say, three different Gems for different parts of the contracts workflow), use a short prefix to group them: "Contracts: Clause Checker", "Contracts: Risk Flagging", "Contracts: Response Drafter".
Test before you share
Once the Gem is built, run it through at least five realistic test cases before you share it with the team. Use real examples from your actual workflow, not polished hypotheticals.
For each test, check:
Does the output match the format you specified?
Does the Gem stay inside its defined scope, or does it wander?
Does it handle incomplete or ambiguous input gracefully, rather than hallucinating missing details?
Is the tone right for a professional context?
Would a team member need to edit the output significantly before using it?
If more than one or two outputs need substantial editing, revise the system prompt and retest. Pay particular attention to edge cases: what happens when someone pastes in a request that's slightly outside scope? A well-written Gem should decline politely and redirect, not attempt an answer it isn't set up to give.
Share a short "how to use this Gem" note alongside the Gem itself when you first distribute it. Two or three sentences explaining the intended input and what the output looks like is usually enough. Teams are more likely to use a tool when they understand its limits from day one, which connects to the broader point that prompting is a team skill, not just an individual one.
Which use cases suit Gemini Gems in enterprise settings?
Gems work best when a team repeats the same type of task regularly, the output has a predictable shape, and quality depends heavily on context that a generic AI prompt would miss. Here are the functions where they deliver the most consistent value.
Internal communications
A comms team Gem can hold your organisation's tone of voice guide, standard disclaimer language, and preferred channel formats (short for Slack, structured for email, punchy for intranet). A communications manager drafting an all-staff update about a restructure no longer needs to re-explain the required reading level or remind Gemini not to use corporate jargon. The Gem already knows. Output is consistently on-brand without the team having to police it.
Contract and document review
Legal and procurement teams spend significant time reading the same categories of clause across different documents. A Gem built for initial contract review can be instructed to flag non-standard liability caps, identify missing data processing addenda, and summarise key commercial terms in plain language for non-legal stakeholders. It will not replace a lawyer's sign-off, but it reliably shortens the first-pass review cycle.
Gems are reviewers, not decision-makers
For any high-stakes use case, including legal review, compliance checks, or financial approvals, a Gem should surface information and flag issues. A qualified person makes the final call. Document that expectation clearly in the Gem's instructions.
Data and report summarisation
Finance teams, operations leads, and analysts regularly receive dense reports they need to digest quickly. A Gem trained to extract key variance explanations, surface items above a materiality threshold, and produce a two-paragraph executive summary can turn a thirty-minute read into a five-minute briefing. Pair this with a prompt library your team already uses and the workflow becomes genuinely repeatable.
New employee onboarding
An onboarding Gem can hold your standard process documentation, answer common questions about systems access, leave policies, and team norms, and guide new starters through their first week checklist. HR teams that have built these report a measurable drop in ad-hoc questions to the people team in the first fortnight. The Gem does not replace a human buddy, but it handles the repetitive factual queries so the buddy conversation can focus on culture and relationships.
Sales and client proposal support
A presales Gem can carry your product positioning, standard proof points, approved competitor response language, and proposal structure. When a sales manager needs a first draft of a capabilities overview for a new prospect, the Gem produces output aligned to your approved messaging, not something improvised from a blank chat window. This is especially useful when you have junior team members producing client-facing documents without close oversight.
Policy and compliance Q&A
Risk, compliance, and HR teams field repeated questions about policies: leave entitlements, data handling rules, procurement thresholds, and so on. A Gem built around your current policy documents (kept updated) can answer these questions accurately and direct staff to the relevant policy section. This reduces burden on the compliance team and, crucially, reduces the chance of staff getting an informal and potentially incorrect answer from a colleague. For Australian organisations navigating evolving obligations, this kind of structured internal resource matters. It is also worth reading what good AI governance looks like across your organisation before deploying Gems in regulated functions.
A note on scope
Not every task needs a Gem. One-off research questions, genuinely exploratory thinking, and tasks where the output varies wildly each time are better handled in a standard Gemini chat. Gems earn their setup cost when the task recurs, the output needs to be consistent, and a team member without deep expertise needs to produce something that meets a professional standard. If only one person ever uses a particular Gem, it is probably just a saved prompt, and that is fine too. The distinction matters when you are deciding how to spend your team's time building and maintaining them.
What are the governance and access considerations?
Before you publish a Gem to your team, there are a few things worth confirming with your IT administrator, because the controls sit at the Workspace level, not in your hands as a team lead.
Tier requirements matter. Gems for individual use are available on Business Standard and above, but the ability to create and share Gems within a team or organisation depends on your specific Workspace edition and how your admin has configured it. If you are on Business Starter, you may find the feature is absent or restricted. Check with your Google admin before you invest time building something you cannot deploy.
Admins control who can create and share Gems. Your Google Workspace admin can enable or disable Gem creation for specific organisational units, meaning they can limit access to certain teams or roles. They can also control whether users can share Gems beyond their immediate group. If your team lead role does not include admin privileges, you will need to coordinate with IT to get sharing enabled before your Gem reaches anyone.
Confirm sharing permissions before you build
A Gem that cannot be shared outside your own account is just a personal tool. If the goal is team adoption, confirm with your Workspace admin that cross-team or group sharing is enabled before you invest time in the build.
Data stays within your Workspace boundary. When a Gem is invoked inside Gemini for Workspace, the conversation runs under the same data-handling terms as the rest of your Workspace environment. That means your organisation's data is not used to train Google's models, provided your admin has kept the default enterprise data protection settings in place. It does not, however, mean you can paste anything into a Gem's system prompt without thinking carefully. Sensitive internal data, personally identifiable information, and anything governed by confidentiality obligations should stay out of the instructions themselves. Think of the system prompt as a configuration file that multiple colleagues will eventually read.
For a broader look at where Gemini handles your data and where the risks sit, the Gemini data security and governance for enterprise article covers the relevant boundaries in detail.
Shared Gems are visible to the people you share them with. Unlike a private prompt library, a Gem's instructions are not hidden from the end user. Anyone using the Gem can typically inspect its configuration. This is generally fine for internal productivity tools, but it means you should not embed anything in the system prompt you would not want that audience to read, including internal process details that are commercially sensitive or names and contact information for third parties.
Version control is informal for now. There is no built-in versioning for Gems at the time of writing. If you update a Gem's instructions, the change takes effect immediately for everyone using it. Document your changes externally, in a shared doc or a simple changelog, so the team knows when behaviour has shifted and why. This is especially important if the Gem is connected to a workflow where consistency matters, such as client communications or compliance reviews.
A few things to check before you publish a Gem to a wider group:
Workspace edition supports team-level sharing (confirm with your admin)
Admin has enabled Gem creation and sharing for your organisational unit
System prompt contains no sensitive data, PII, or confidential third-party information
Relevant stakeholders (legal, IT, compliance) have reviewed Gems used in regulated workflows
You have a process for communicating updates when the Gem's instructions change
If your organisation is also running Microsoft Copilot alongside Gemini, similar governance questions apply there. The Microsoft Copilot data security article is a useful parallel read for teams managing both environments.
Frequently asked questions about Gemini Gems for enterprise
What are Gemini Gems in enterprise settings?
Gems are custom AI personas you configure inside Gemini for Google Workspace, each with its own system instructions, tone, and scope. In enterprise settings, a Gem replaces the need for every team member to write the same contextual prompt from scratch. Instead, an HR team might have a Gem that always responds as a knowledgeable but plain-spoken policy advisor, while a finance team has one that applies the organisation's specific reporting standards automatically.
Who can create and share Gems in a Google Workspace account?
Any user on an eligible Gemini for Google Workspace plan can create a personal Gem. Sharing, however, depends on your organisation's admin configuration. Workspace admins control whether users can share Gems within the organisation, and whether Gems created outside the domain can be accessed by staff. Before you invest time building team Gems, confirm with your IT admin that sharing is enabled for your licence tier, because the defaults vary between plans.
Do Gems retain memory between conversations?
No. A Gem holds the instructions you wrote during configuration, but it does not remember anything from previous conversations. Each session starts fresh. If your team needs persistent context, such as a running project brief or updated client details, the current approach is to include that information in the opening message of each session, or to paste a short standing context block at the start. This is a real limitation worth planning around, particularly for use cases that depend on accumulated history.
Can a Gem access live company data or internal documents?
Not directly from the Gem configuration itself. A Gem's instructions shape how Gemini responds, but the model does not automatically pull from Google Drive, Gmail, or internal databases unless you or your team member explicitly shares that content in the conversation. For use cases that require live document access, users need to attach or paste the relevant material. If deeper, automated integration with your data sources is the goal, that moves into agentic territory and requires a different setup. The four levels of AI agent autonomy is a useful frame for understanding when a Gem is enough and when you need something more capable.
How is a Gem different from a custom GPT in ChatGPT?
Both are ways of giving a base large language model a standing set of instructions so it behaves consistently for a specific purpose. The main practical differences are platform and ecosystem. Gems live inside Google Workspace, so they sit alongside Gmail, Docs, and Drive. Custom GPTs live in the ChatGPT environment. Neither connects to the other. If your organisation runs on Google Workspace and your staff spend most of their day in Google tools, Gems are the natural fit. If you want a direct comparison of the two platforms before committing, ChatGPT vs Gemini covers the key differences for enterprise buyers.
Ready to roll out Gemini Gems across your team?
Building a Gem takes thirty minutes. Getting your team to trust it, use it consistently, and improve it over time is the harder work. That is where most enterprise rollouts stall: the tool is ready, but the people habits are not.
A structured workshop changes that. Rather than leaving team leads to figure out Gem design through trial and error, a facilitated session gives your team a shared vocabulary, a practical build process, and a prompt library they leave with on the day.
Want your team building and using Gems by end of day?
href="/services/workshops/google-gemini" button="Explore the Gemini workshop" Our Google Gemini training workshop covers Gem design, persona and instruction writing, and practical use cases matched to your team's actual work. Teams leave with working Gems, not just awareness.
Book a 30-minute discovery call →
If you are still weighing up whether Gemini is the right platform for your organisation, the candid enterprise review of Gemini for Workspace is a good starting point. And if you are thinking about how to measure whether any of this is landing, the AI adoption dashboard guide covers the metrics worth tracking.
The organisations that get the most from Gemini Gems are the ones that treat them as a team asset, not a personal shortcut. Get the foundations right and they compound over time.
