Enterprise

AI adoption and automation, on GoogleAI adoption, on Google

Gemini Enterprise, licensed and put to work.

Your files, your permissions, one Google partner: the whole company working with Gemini Enterprise, not a few people experimenting alone. We resell the licences as a Google Cloud partner, connect it to Workspace or Microsoft 365, train every role and automate real processes end to end: fast, sophisticated and safe. Model-agnostic, so you get Gemini where it wins.

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Start with a working session or a 2 to 3 week discovery sprint.

One question, every source What did we promise this client at renewal? GmailWorkspaceDriveWorkspaceSharePointMicrosoft 365SalesforceCRMJiraProjectsFinanceno access Answer, cited[1][2][3][4][5] 5 sources cited · 1 withheld. Each person sees only what they may open. Watch it run ↓

NPS 62client survey, quality of workclient survey

ISO 9001 · 27001certified quality and information securityquality and infosec

500+ brandssince 2017

Model-agnosticGemini, Claude, GPT or CopilotGemini, Claude, GPT, Copilot

One Google Partner9 years, several areas

This page goes deeper as you scroll

1 · Plain wordsWhat it is, which AI 2 · BusinessEditions, services, use cases 3 · PlatformSearch, agents, EU data 4 · CTOSecurity, governance, exit

What Gemini Enterprise is, in plain wordsIn plain wordsLevel 1 · Plain words

One front door to AI for every employee. A platform to build behind it.

Gemini Enterprise is Google's AI for companies. Since April 2026 the name covers two products: the app your people use, and the Agent Platform, formerly Vertex AI, where agents are built.

It is not the Gemini inside Gmail and Docs, which comes with Workspace. Gemini Enterprise is a separate subscription that works with Google Workspace or Microsoft 365, and does not need Workspace.

01 · The app

One assistant that knows your company

Chat, search and research across Drive, Gmail, SharePoint, Outlook, Salesforce, Jira and more, each person seeing only what they may open.

Plus Deep Research, Gemini Notebook, Canvas and shared Projects.

02 · Agents for everyone

Teams build agents without code

Workflow Builder turns a repeated task into an agent that runs on a schedule, a trigger or request. Skills package your procedures.

Google, partner and your own agents share one gallery and one set of controls.

03 · The Agent Platform^*

The engine for your own automations

Agent Studio, the open-source ADK and Agent Runtime build agents wired into your systems.

Model Garden offers 200+ models, Claude included, behind the same governance.

Building and registering custom agents in the app (Agent Studio, ADK, Agent Runtime, and non-Gemini models such as Claude from Model Garden) needs the Standard, Plus or Pay-as-you-go editions. The Agent Platform itself is a Google Cloud service, billed by consumption.

Where we add the most valueWhere we add valueLevel 1 · Plain words

The whole Google stack, one team.

01 · One Google Partner

Premier Partner in Ads. Cloud and Workspace partner.

Reseller and service partner for Google Cloud and Workspace. Nine years with Google, 300+ brands on Google ecosystems.

02 · Marketing, end to end

We run the marketing, not only the AI

Strategy, media, content and measurement, every day. Our agents automate work we already do well.

03 · The same people

One team across Ads, Cloud, Workspace and Gemini

They know the Workspace or Microsoft 365 it searches and the Ads and BigQuery data it reports on. One brief, no hand-offs.

04 · Your marketing data

Gemini on the data we already run

Already running your Google Ads, GA4 and BigQuery? They become your agents' first sources, with no data project first.

See Gemini for Marketing

On Microsoft 365? It works for you too: it connects to SharePoint, OneDrive, Outlook and Teams.

The risky way vs the enabled wayRisky vs enabledLevel 1 · Plain words

Seven habits that feel fast. Each gets a governed twin.

In most companies AI arrived bottom up: personal accounts, copied prompts, weekend agents, connectors switched on because a video said so. Once agents can act, it is risky.

Gemini Enterprise adds a risk of its own: every folder shared with the whole company years ago becomes an answer today.

Same people, same speed. Now it is governed, shared, capped and measurable.

The right platform for the jobWhich AILevel 1 · Plain words

A front door for your people. The right models for your agents.

Not a pick of chat apps: two choices. The platform your people work in every day, and the models your agents run on. We decide both by where your data lives, results on your cases and cost.

Pick Gemini when

Gemini Enterprise: the governed front door.

Your people work in Google Workspace or Microsoft 365, and data sits across several systems
You need one permission-aware search and governed agents over all of it
BigQuery, Looker, video and multimodal work belong behind one control plane

Pick Copilot when

Microsoft 365 Copilot: an all-Microsoft estate.

Files and identity live in Microsoft 365 and Entra
IT wants a single vendor and in-tenant controls
Your agents will live in Teams and Copilot Studio

Pick Claude when

Anthropic's Claude: the thinking and building tool.

The work is long documents and careful writing
Agents use many tools over many steps, or it is agentic coding
Power users need depth more than search

Pick GPT when

OpenAI's ChatGPT: where it may fit better.

Your people already live in ChatGPT
Image and voice generation are core to the job
Your developers already build on OpenAI's platform

Inside Gemini Enterprise, other models build agents. Claude and other non-Gemini models are used to build agents on the Agent Platform, through Model Garden, not as the everyday chat; that needs the Standard, Plus or Pay-as-you-go editions. Pick the AI that fits, not the one that pays us.

When we would not pick Gemini Enterprise.

The newest models must be processed in the EU. Today only one Flash model is. We check the model list or go sovereign.
Everything lives in Microsoft and IT wants one vendor. Copilot is the shorter path.
A few experts need a writing and coding tool. A handful of Claude or ChatGPT seats may do more, for less.

When you do not need us.

A small team, a few seats. The Business edition is self-serve. We can bill it, but you may not need a project.
A one-off prompt problem. You need a short training session, not a programme.
You want full autonomy, no human in the loop. For sending, paying, granting access or deleting, we always build an approval step.

Editions and licencesEditionsLevel 2 · Business

The right edition, chosen on your real use.

Five ways to buy, by what they include. Google publishes list prices on its Gemini Enterprise page; we confirm scope and price before you sign.

Google keeps evolving its services and editions; we help you choose the best option for each moment. Our rule of thumb: seats for the broad workforce, consumption for the 5 to 10% of workflows that run as heavy agents.

Business

Small teams, starting fastNo IT setup, self-serve, a 30-day trial

The assistant, search and content creation
Connectors, Microsoft 365 and Workspace included
No-code agents; Google-made agents such as Gemini Notebook

Not included: the full connector range, code or third-party agents, Data Insights, enterprise controls.

Standard

Companies that need IT controlsUnlimited seats, a 30-day trial

Everything in Business, higher quotas
Your ADK and third-party agents, Marketplace, Data Insights
VPC Service Controls, customer-managed keys, data residency

Plus

Heavier daily useThe Standard controls, more headroom

Everything in Standard
Higher daily quotas, for Deep Research and agent creation
More pooled storage per seat

Pay-as-you-go

Agent workloads and uneven useNo seat fee, generally available since 1 August 2026

Core app capabilities, with no seat fee
Usage billed at Agent Platform rates for tokens, compute and storage
Needs an invoiced Cloud billing account

Gemini Notebook is not included yet.

Frontline

Workers who use, not buildAn add-on to Standard or Plus

Shop floor, stores, field teams
Use agents and search; cannot create agents
Requires 150 or more Standard or Plus users

Cost per run, as an index. The levers we pull.

One agent workflow on the Agent Platform: a weekly report from your Ads, GA4 and BigQuery data, approved by a person. The baseline run is 100. Seats include pooled daily quotas; the agent itself is billed by consumption either way.

Caching and batch together: half the baseline run, for the same report. Now try Gemini 4 Argon.

Illustrative index, models and Google list prices as of 1 October 2026 (Gemini 3.8 Flash and Gemini 4 Argon at their introductory prices, same ratio after them); we model yours on your volumes.

Bought through Wise Pirates: one partner, one invoice.

One invoice, in eurosLicences and services, one local contract.

Support that staysAdmin help and tickets, in Portuguese and English.

One Google teamThe same partner for Workspace, Google Cloud and Google advertising.

What we doLevel 2 · Business

From licence to daily habit to agents that do the work.

Most of the value sits in the first two: people using Gemini Enterprise well, every day. Then automation, then the foundation your CISO signs off.

No prompt packs, template bundles or agents off a shelf. We build yours, on your work, and hand them over.

01Enablement

Licences and setup, done properly

From the edition decision to daily use.

Edition and seat mix decided before you sign
Identity, location, licences, quotas and spend caps configured

2 more

Sharing cleaned and sources scoped before anything is indexed
Training by role, a champions network and a shared Skills library

AI Enablement →

02Enablement

Agents for business teams, without code

Marketing, sales, finance and operations.

Workflow Builder agents on schedules, triggers and chat
Skills for your brand voice, report formats and procedures

2 more

Deep Research and Data Insights on your sources
Always reviewed, always with an owner

Use cases ↓

03Execution

Automation and agents, end to end

Agents wired into your own systems.

The Agent Platform: Agent Studio, ADK, Agent Runtime, Memory Bank
Connected to your ERP and CRM over MCP, to agents over A2A

2 more

People approve every irreversible step
Evals before launch, cost per run under control

Process Automation →

04Foundation

Governance, security and EU data

Guardrails your legal team approves, from day one.

EU AI Act and GDPR: roles, literacy records, transparency notices
EU location and keys, gaps mapped per feature

3 more

Model Armor and Agent Gateway set up; Wise Shield across every AI
Agent observability, audit trails and spend alerts
Portability: agents, Skills and evals that live in your accounts

Agentic Security →

Use cases by functionLevel 2 · Business

Eight bottlenecks it clears, on data you already have.

Start from a real bottleneck, not a licence. These are the patterns we build most, marketing first.

Results Google reports are vendor-reported: we never promise them, we measure yours against your baseline.

Our marketing-first offer

Gemini for Marketing.

Three agents on your own brand and data: a brand-voice Skill, a campaign agent with a review step, and a reporting agent on your Google Ads, GA4 and BigQuery data.

Talk about Gemini for Marketing →

Team	The bottleneck	What we build	Result
Marketing	Dozens of variants per campaign, and a weekly report that eats a day.	The offer above, on your own brand and data.	Faster production, a report on MondayGoogle reports Virgin Voyages uses 50+ agents to cut campaign creation time by 40%.
Sales	Call prep means five tabs: CRM, mail, proposals, notes, news.	An account brief before every meeting, from CRM, mail, proposals and the web.	More time selling
Customer service	Answers hide in policies, contracts and old tickets.	An answer agent for your people over policies and contracts, permission-aware, with citations.	Faster, consistent answersGoogle reports SIGNAL IDUNA delivers insurance answers 37% faster.

Show all 8 teams

Finance	Month-end commentary written by hand.	Variance commentary drafted from your data and the threads behind it, with Data Insights.	A shorter close, fewer errors
Operations	Knowledge split across SharePoint, Jira and an ERP.	One search across all three, plus scheduled agents for recurring reports.	Hours back, every week
HR	The same questions, answered by hand.	A policy concierge and an onboarding agent. Never candidate ranking: under the AI Act it is high-risk.	Better employee experience
Legal	Every contract waits in the same queue.	Contracts checked against your playbook, with Google's legal edition (preview) where it fits.	Faster turnaround, same standards
Leadership	The board pack is a week of chasing numbers.	A scheduled weekly brief: KPIs, top threads and risks, each with its source.	Better-informed decisions

Training and capability buildingTrainingLevel 2 · Business

Your people learn it on their own files, in their own language.

Training is part of every rollout, by role, on each team's own tasks.

1EveryoneLiteracy firstWhat it is, what never goes in, how to check its work and sources.
2Power usersWork, by functionSearch, Deep Research, Notebook and Skills, on the team's own tasks.
3BuildersAgents and automationsWorkflow Builder, then Agent Studio and ADK, reviewed before shipping.
4ChampionsOne per teamWith protected time, they own their function's Skills and agents.

Skills and agents library

Know-how that stays when people leave

Each with an owner, a version and test cases
Shared through the agent gallery, reviewed before release
Retired when stale, not forgotten

Portuguese, properly

pt-PT, not pt-BR by accident

Google publishes no pt-PT quality benchmark for the app
So we ship a pt-PT glossary Skill and a reviewer step
Voice agents tested in European Portuguese first

How we measure it.

Every monthA one-page adoption viewSeats active against seats bought, weekly users of shared Skills and agents, agents with an owner, connectors on the allowlist.

At day 90A written keep, expand or cut decisionPer team and per agent, against your baseline, so the next budget follows real use.

Training runs with our AI Training & Upskilling team, from a half-day session to a full academy, with AI Act literacy records.

How we work and ways to startHow we workLevel 2 · Business

Discovery, pilot, rollout. A written decision at day 90.

Two-week sprints, a weekly demo, every decision in writing. Start at any step.

Step 1Working session
What happens
Half a day with leadership and future champions: where to start.
You leave with a shortlist of use cases.
Step 2Discovery sprint
What happens
2 to 3 weeks, fixed scope: our assessment. What is in it.
You leave with a ranked roadmap.
Step 3Pilot
What happens
4 to 8 weeks, on Google's 30-day trial where it applies. 20 to 50 users, first Skills and agents, one automation with evals.
You leave with results on real work.
Step 4Rollout
What happens
Function by function: licences assigned, sources added in order, training by role, the monthly adoption view.
You leave with company-wide adoption.
Step 5Centre of competence
What happens
Owns Skills, agents, approvals, evals and costs, with us or on its own.
You leave with a capability, not a dependency.

Week 1 of the pilot 01App created in the right location, SSO on 02Sharing reviewed on the first sources 03Quotas and spend caps set 04Champions named

Ways to start

On a new project, the first step is an assessment: our discovery sprint.

Assessment is one of our specialties. Talk to our specialists to see how this applies to your case.

Fixed scope · 2 to 3 weeks

The discovery sprint

Your edition and seat mix, current AI use mapped (shadow AI included), sharing reviewed on the first sources, use cases scored on value and risk, a baseline and a ranked roadmap you keep.

Already licensed · seats nobody uses

The licence rescue

Adoption stalled? We find out why, from usage data and the people who stopped, then fix the top blockers: sources, sharing, training or the wrong edition.

Book a meeting →

Enterprise search, under the hoodUnder the hoodLevel 3 · Platform

One question. Every system. Only what you may see.

A question goes to every connected source at once. Each source applies its own permissions, so the answer uses only what the person asking may already open, with citations.

One question, asked once.

Illustrative example; your connectors and permissions decide the real picture.

Agents calling agentsAgents and A2ALevel 3 · Platform

Agents that delegate. A gateway on every hop. A person at the point of no return.

A pattern we build: a manager asks for a new hire to be onboarded. The assistant hands each part to the agent that owns it over A2A, the open agent-to-agent protocol; agents reach their tools over MCP.

In our setup (EU or US location), every hop passes Agent Gateway: identity checked, Model Armor screening, unapproved calls denied. Sensitive access waits for a person.

The HR agent writes the record through its tool, over MCP.

Illustrative example; in your setup the agents are your own, your partners' and Google's.

Before anything goes liveBefore go-liveLevel 3 · Platform

Six switches we turn on before your data goes in.

No real data goes in until every switch is on. Set once, reused for every new source and agent.

01Company tenant only, SSO on, location chosen on purpose
02Sharing reviewed and sensitive sources excluded before indexing
03Every connector, MCP server and agent approved, owned and versioned
04Evals passed on real questions, permission cases included
05Human approval on every irreversible step; quotas and spend caps set
06AI Act literacy records and transparency notices in place

6 of 6 on· ready for your data

European and sovereign optionsEU and sovereignLevel 3 · Platform

Need the data to stay in Europe? Know where the edges are.

Gemini Enterprise has a real EU option, and real gaps. Google itself recommends the global location unless you have a regulatory reason.

Inside the EU guaranteeIn the EU multi-region, data at rest and model processing stay in the EU for search, the assistant, connectors and one model: Gemini 3.5 Flash.

Outside it, todayThe Pro model, Grounding with Google Search and video generation run only in global, and so do Gemini 3.6, 3.7 and 3.8 Flash, the app's default. An EU-processed setup must pin Gemini 3.5 Flash.

No Portugal regionIn-country options exist for the UK, Canada, India, Japan and Singapore, none in the EU.

Sovereign, when requiredGoogle sells partner-operated and air-gapped sovereign clouds. We found no Google statement that the app runs on them, so we do not promise it.

For regulated sectors we design per feature: EU location, customer-managed keys, Web Grounding for Enterprise (EU-resident, unlike Grounding with Google Search), Model Armor and a pinned model list. For defence and critical infrastructure, our Sovereignty area goes further, with our Cloud Services and Google Cloud teams.

For your CTOLevel 4 · CTO

Ten questions your CTO should ask. Our answers.

Start here: permissions, connectors, firewallStart here

Permissions and indexing

Answers follow permissions. So does over-sharing.

Federated connectors query live; ingested ones copy content and access lists into a Google-managed index
Sharing reviewed and sensitive sources excluded before the first index

Connectors, MCP and A2A

Every connection is a permission you grant.

Custom MCP off until an organisation policy allows it; A2A agents registered one by one, with OAuth
Agent Registry as the catalogue; Agent Gateway allow and deny rules on every outbound call

Firewall and data protection

A control point between agents and your data.

Model Armor screens for injection, jailbreaks and data leakage, in the EU and US locations, not in global
Sensitive Data Protection masks personal data; Wise Shield applies one policy across every AI you run, with Agentic Security

Show 7 more questions

Identity and access

Your identity provider stays in charge.

Google identity, or Workforce Identity Federation with Entra ID, Okta or any SAML or OIDC provider
Attribute mapping must match each source's user IDs; each agent gets its own Agent Identity, separate from users, so tool access is least-privilege

Location, keys and perimeter

The location is chosen once, when the app is created.

Global, EU or US; customer-managed keys only in the EU and US
VPC Service Controls around the app; Access Transparency on Standard and Plus

With Grounding with Google Search on, residency and perimeter guarantees do not apply.

Audit and observability

Every run leaves a trace.

Cloud Audit Logs for admin and data access; Model Armor verdicts logged
Traces, latency and error rates per agent, with Agent Observability

Evals and model upgrades

No silent regressions.

Agent Simulation before launch, Agent Evaluation on live traffic, Agent Optimizer clustering failures into new golden questions: 50 to 200 per agent
Re-run after every model change: Google shipped four Flash versions between May and September 2026

Cost control

Seats for the many, consumption for the heavy.

Pooled daily quotas; when they run out, stop or allow overage at pay-as-you-go rates
Monthly spend caps and alerts; agent runs modelled separately

Cost per run is modelled before we build; see the index under Editions.

EU AI Act and GDPR

Your duties as a deployer, mapped.

AI literacy (Article 4) with training records; transparency duties (Article 50) from 2 August 2026
High-risk uses such as recruitment flagged (obligations from 2 December 2027); a DPIA where needed

Portability and exit

You can change model, and you can leave us.

ADK is open source, A2A and MCP are open protocols, and 200+ models run in Model Garden
Everything we build lives in your Google Cloud project, your repositories and your accounts

Switching model is a test run, not a rebuild.

Product note, 1 October 2026: the app runs Gemini models only, default Gemini 3.8 Flash. Gemini 4 Argon, Google's new frontier model, was announced on 30 September 2026 and is rolling out, first to trusted cyber defenders, then to paid API customers. In the EU multi-region only Gemini 3.5 Flash has EU processing; 3.6, 3.7 and 3.8 Flash and Gemini 3.1 Pro (limited availability) are global only. Renames: Agentspace is the Gemini Enterprise app, Vertex AI the Agent Platform, Agent Designer Workflow Builder, NotebookLM Enterprise Gemini Notebook Enterprise. Names change; our evals do not.

One connected system

Gemini Enterprise is the start. Put it to work.

Workspace is not a prerequisite: it is one of the systems we connect, next to Microsoft 365 and the rest of your stack.

Google Workspace →Licences, migration, Gemini in Gmail and Docs. Google Cloud →The platform underneath, built and run. AI Enablement →Teams building with AI, safely. AI Training & Upskilling →Tracks by role, from literacy to builders. Process Automation →Whole processes, quick wins first. Agentic Security →Guardrails and Wise Shield around every agent. Agent Observability →Traces, costs and evals for every run. Data Science →BigQuery models under your agents. Answer Engine Optimization →Being the answer in AI search.

Why Wise Pirates

Your business result. A great team and five pillars to move it.

Two pillars we run for you, three we own, and the crew at the centre answering for your number.

Judged on your KPIs, with part of our fee on the line.

62client NPS

500+brands since 2017

100+crew, one house

See our value proposition

Centre: your result. Ring: the crew. Corners: the five pillars.

FAQ

Gemini Enterprise, answered.

What is Gemini Enterprise?

Google's AI platform for companies, in two parts. In the Gemini Enterprise app, employees chat, search company data across Google Workspace, Microsoft 365 and other systems, and use or build agents. On the Agent Platform, formerly Vertex AI, developers build, run and govern custom agents.

Is Gemini Enterprise the same as Gemini in Google Workspace?

No. Gemini in Workspace comes with Workspace plans and works inside Gmail, Docs and Meet, grounded mainly in Workspace data. Gemini Enterprise is a separate Google Cloud subscription that adds connectors to other systems, agents and central governance. They are complementary.

Can we use Claude or other non-Google models in Gemini Enterprise?

Not in the Gemini Enterprise app's model picker, which runs Gemini models. Claude and many other models are available in Model Garden on the Gemini Enterprise Agent Platform, and employees reach them through custom agents that you build and register in the app. We pick the model per agent and test it on your data.

How much does Gemini Enterprise cost, and which edition do we need?

Gemini Enterprise pricing depends on edition and usage, and Google publishes list prices on its Gemini Enterprise page. Business suits small teams starting without IT setup. Standard and Plus add the full connector range, your own and third-party agents, Data Insights and enterprise controls; Plus has higher quotas. Pay-as-you-go removes the seat fee and bills usage at Agent Platform rates. We size seats, spend caps and cost per run with you before you sign.

Can we buy Gemini Enterprise from a Google partner in Portugal?

Yes. Wise Pirates, a Google Cloud partner built in Portugal, resells Gemini Enterprise licences with one invoice in euros for licences and services, a local contract, and support and training in Portuguese and English. The same team sets up Gemini Enterprise and builds your agents.

Does Google train Gemini Enterprise on our company data?

No, according to Google's terms for the Business, Standard and Plus editions of Gemini Enterprise. Google states that prompts, outputs and company data are not used to train its models or other customers' models, are not sold and are not used for ads. Personal Google accounts follow different terms, so we move company use onto the governed tenant first.

Does Gemini Enterprise support EU data residency?

Partly. In the EU multi-region, Gemini Enterprise keeps data at rest and model processing in the EU for the core app and a limited set of Flash models. As of October 2026, only Gemini 3.5 Flash has confirmed EU processing, and the default, Gemini 3.8 Flash, is global only. Pro models, Grounding with Google Search and video run outside the EU, and there is no Portugal region. Google updates its locations table often, so we check it per project.

Do we need Google Workspace to use Gemini Enterprise?

No. Gemini Enterprise is a Google Cloud subscription of its own. It connects to Microsoft 365 (SharePoint, OneDrive, Outlook and Teams, with write actions in preview as of September 2026) and to the rest of your stack, and identity can stay in Entra ID. Workspace is one of the systems we connect, not a prerequisite.

Can Gemini Enterprise show employees files they should not see?

Gemini Enterprise search is permission-aware, so it only surfaces files a person can already open. The risk is over-sharing: a folder shared with the whole company becomes an answer for the whole company. We review sharing settings and scope data sources before anything is indexed.

Is it safe to connect agents and MCP servers to Gemini Enterprise?

Yes, with guardrails. In Gemini Enterprise, custom MCP servers stay off until an organisation policy allows them, and A2A agents are registered individually. We keep an approved list, route traffic through Agent Gateway, screen prompts with Model Armor in the EU or US locations where it is available, and log tool calls. Unknown servers with broad access are a major data-leak risk.

Gemini Enterprise vs Microsoft 365 Copilot vs ChatGPT vs Claude: which is best for business?

No single assistant is best for every company, and many use more than one. Gemini Enterprise fits companies on Google Workspace or Microsoft 365 with data spread across many systems. Microsoft 365 Copilot fits all-Microsoft estates. ChatGPT and Claude are often chosen by power users, and Claude models are available on Google's Agent Platform for custom agents. We decide per use case, tested on your data.

Who implements Gemini Enterprise in Portugal?

Wise Pirates is one Gemini Enterprise implementer in Portugal: an independent agency, a Google Premier Partner in advertising and a reseller and service partner for Google Cloud and Google Workspace. We license, set up and run Gemini Enterprise, train teams by role and automate processes, in Portuguese and English.

How long does a Gemini Enterprise rollout take?

A Gemini Enterprise rollout typically takes 6 to 11 weeks to show measured results on real work: a discovery sprint of 2 to 3 weeks with a fixed scope, then a pilot of 4 to 8 weeks, which can start on Google's 30-day trial where available. Rollout then runs function by function, measured against a baseline.

Can Gemini Enterprise work with our Google Ads, GA4 and BigQuery data?

Yes. Google Ads and GA4 data can be exported to BigQuery, and Gemini Enterprise agents, including Data Insights on Standard and Plus, can work on it. Wise Pirates already runs Google Ads, GA4 and BigQuery for clients, so the team that manages your marketing data also sets up Gemini Enterprise on top of it.

Can Gemini Enterprise automate a business process end to end?

Yes, with a person in the loop. Simple flows run in Gemini Enterprise Workflow Builder; complex ones run as agents on the Agent Platform, connected to your systems through MCP and to other agents through A2A. Every irreversible step waits for a person, and each run leaves a trail. We estimate the running cost before we build.

Gemini Enterprise, with Wise Pirates

Fast, sophisticated and safe. All three.

Safe is what makes it fast: once sharing, connectors and approvals are set, every new team starts in days, not months. Start with a working session or a discovery sprint, licences on one invoice, everything in your own accounts.

Book a meeting →

Google, Gemini, Gemini Enterprise, Google Workspace and Google Cloud are trademarks of Google LLC. The Gemini logo is shown for identification only. This page is published by Wise Pirates, an independent agency, not by Google. Other product names are trademarks of their owners.