Agency · Gemini · Google Workspace

The Gemini agency.Gemini your whole team uses.

Gemini is Google's AI, the one already sitting inside Gmail, Docs, Sheets and Meet. Switching it on is a click. Getting your team to actually use it every day is the real work, and that's the job. A Gemini agency deploys it properly: rolled out across your Workspace, grounded on your own data so it stops guessing, set up for how each role works, and taught to the people who'll live in it.

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★★★★★Verified Trustpilot reviews · AI, automation & growth agency

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What we do

A Gemini agency deploys it so people use it, not just switches it on.

Anyone can flip Gemini on in Workspace. Rolling it out so a real team reaches for it daily, grounding it on your own data, and setting it up role by role is a different job. Here are the four things we own.

Method · 4 stages

We deploy Gemini to be used every day, not demoed once.

Most Gemini rollouts fizzle the same way: switched on with no grounding, no prompts that fit the work, no training, so it gives generic answers and everyone drifts back to old habits by week two. We treat it like a rollout, not a toggle: grounded on your data, set up role by role, wired into your other tools, monitored, and taught to a team that actually knows what to ask it.

  • Audit · we map your Workspace, your data and where Gemini earns daily use, one team at a time
  • Ground · we connect Gemini to your real content so it answers from your docs, not a guess (that's RAG)
  • Deploy · we roll it out across Gmail, Docs, Sheets and Meet, set up per role, wired to your other tools
  • Enable · we train the team, watch quality over time, and hand you the keys so your people own it
Walk me through the method
Differentiator · no badge

We're model-agnostic, so we tell you the truth.

We don't sell a partner tier. We build with Gemini where it's the right call, multimodal, long context, teams already on Google Cloud or Workspace, and we'll say honestly when Claude or another model fits a task better. That's exactly what you don't get from an agency tied to one vendor's logo.

  • Model-agnostic by default. Gemini wins on multimodal work, long context and teams already living in Google Workspace. We set it up to play those strengths, not to tick a box.
  • Straight about fit. If Claude or another model does a job better, we say so and route it there. No single-vendor dogma, no badge we have to defend.
  • A real track record. More than 40 companies since 2024, over 150 automations shipped, so your Gemini rollout plugs into how work already flows instead of fighting it.
  • Grounded, never guessing. Retrieval, evals and monitoring wired in so Gemini answers from your own content, and you spot a bad answer before your team ever does.
Show me a typical build
Role by role

If your company runs on Google Workspace, here's what Gemini actually changes.

The same Gemini helps a salesperson and a finance lead in totally different ways, which is why a one-size setup gets used by nobody. Here's what it looks like once it's deployed properly, team by team.

  • Setup

    Sales

    Gemini drafts the follow-up in Gmail straight from the thread, preps call notes in Docs, and pulls a one-glance account summary before a meeting. Grounded on your CRM and past deals, so it writes like someone who knows the account, not a stranger filling in a template.

  • Setup

    Support

    In Gmail and your help desk, Gemini drafts replies from your real docs and past tickets, flags the ones a human should read, and turns a solved thread into a knowledge-base entry. The same answers, a lot faster, with a person still signing off before anything sends.

  • Setup

    Ops & finance

    Sheets stops swallowing the afternoon. Gemini pulls figures out of invoices and PDFs, lines them up, and drafts the monthly summary. Threaded through n8n or Make, the hand-keyed data entry just runs on its own, with a checkpoint on anything that touches money.

  • Setup

    Marketing

    Gemini turns a brief into first drafts across Docs and Gmail, spins one asset into ten variations, and reads performance back from a Sheet. It's multimodal, so it works from screenshots, images and video too, not only the text you paste in.

  • Setup

    Founders & execs

    Ask a plain question, get an answer from your own numbers: last quarter's revenue, what a contract really commits you to, where a project actually stands. In Meet, Gemini takes the notes and the action items, so the room stays in the conversation instead of typing through it.

  • Setup

    IT & security

    For teams on Google Cloud, we deploy through Vertex AI with the access controls, data residency and audit logging your security team already trusts (that's Google's enterprise layer for Gemini). Permissions and grounding get set before a single user touches production.

Free audit · 60 minutes

We map your Workspace, you leave with a plan.

Before quoting anything, we take 60 minutes to look at your Workspace, the tools around it and where Gemini earns daily use. You leave with an honest read on which team to start with, whether the API or Vertex AI fits, and where another model would do better. Zero pitch, just an engineer's take on your setup.

  • An honest read on where Gemini earns daily use
  • Which role gets the biggest win first
  • The Workspace rollout plan, grounded on your data
  • A rough cost (from $2,000) and a realistic timeline

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Our approach

How we run a Gemini rollout.

Five steps, in order. Nothing kicks off before the free audit, nothing goes live before it's grounded and monitored, and we won't force a model that doesn't fit. Each step has a deliverable, you sign off before we move on, and your team owns it at the end.

  1. Step 1 · Free 60-min audit

    We map where Gemini earns daily use

    We spend an hour with your team on the real work: the docs nobody has time to read, the calls that go untranscribed, the numbers re-keyed into a Sheet, the support questions answered the same way every day. We look at your Workspace and the tools around it, then tell you which role gets the biggest win first. Half the value here is honesty about where Gemini helps, where another model fits better, and where a plain automation already solves it. No slide deck, no obligation.

  2. Step 2 · The plan and the price

    We agree on what to deploy, and what it costs

    After the audit you get a real quote. It starts from $2,000 and moves with the scope, so the number reflects the actual rollout rather than a package off a shelf. We line up which teams go first, put a timeline on it, anywhere from a week to six months depending on how much you're deploying, and note that the Gemini API or Vertex AI usage is billed by Google directly. Nothing gets invoiced until you've signed off on the plan and the price.

  3. Step 3 · Ground it on your data

    We connect Gemini to your real content

    This is the step that decides whether people trust it. We ground Gemini on your knowledge, docs, tickets, spreadsheets, drive, so it answers from your content with sources instead of a generic guess (that grounding is RAG). We build the assistant, agent or multimodal workflow that fits the use case, and we ship it with evals that tell you it works before your team finds out it doesn't. An engineer on your side signs off on the data flow first.

  4. Step 4 · Roll out across Workspace

    We deploy it where your team already works

    We roll Gemini out across Gmail, Docs, Sheets and Meet, then thread it into your automations through n8n or Make so it classifies, drafts and routes inside flows you already run. We set up gems and prompts per role and add a human checkpoint wherever the output needs review. Everything ships with its grounding, permissions and logging from day one, not bolted on after someone notices it's missing.

  5. Step 5 · Train, then monitor

    Your team owns it, with support after launch

    We train your people on the prompts and workflows that actually land, and put monitoring and evals in place so you see quality over time and catch drift early. The whole setup lives in your own account, owned by your team from day one, no getting held hostage later. Want to go deeper? Our AI training covers prompting, grounding and agents end to end. Want us on call for the next rollout? We scope that separately, no lock-in by default.

Proof · what the teams say

We're judged on whether people actually use it.

No partner badge to wave around, so we lead with what matters: more than 40 companies since 2024, and feedback from the teams whose Gemini rollout stuck once we were gone. Our Trustpilot reviews come from those teams, not from a marketing deck.

  • The setup lives in your account, owned by your team
  • Grounded on your data with sources, not a generic guess
  • The right model for the job, even when it isn't Gemini
  • Trustpilot reviews come from the teams we rolled it out for
Talk to the team
FAQ · Gemini agency 2026

The questions we get asked on repeat.

  • What does a Gemini agency actually do?
    A Gemini agency deploys Google's AI so your team uses it every day, instead of leaving you with a demo that never really lands. In practice that means rolling Gemini out across Google Workspace (Gmail, Docs, Sheets, Meet), grounding it on your own data so it answers from your content, wiring it into your other tools through the Gemini API, Vertex AI, n8n or Make, and training the people who'll live in it. It's Gemini development services and adoption in one. We're model-agnostic too, so we'll say honestly when Claude or another model fits a task better.
  • How much does a Gemini deployment cost?
    It starts from $2,000 and moves with scope. A Workspace rollout with prompts per role is a different job from a multimodal agent grounded on your data and wired into Vertex AI, so we don't hand out a flat package. You get a precise quote after a free 60-minute audit, plus a timeline that usually runs from one week to six months. One thing to know: the Gemini API or Vertex AI usage is billed by Google directly. We set up the calls and cost controls so that bill stays predictable instead of spiking on a runaway loop.
  • What is Gemini in Google Workspace, and is it worth turning on?
    Gemini in Workspace is Google's AI built right into Gmail, Docs, Sheets and Meet, so it drafts, summarises and answers without your team leaving the app they already work in. Turning it on is trivial. Getting real value out of it is the hard part, because out of the box it doesn't know your business and gives generic answers. That's the gap we close: we ground it on your data, set it up per role, and train people, so the daily-use rate is high rather than a feature everyone forgets by week two.
  • Can Gemini work with images, audio and video?
    Yes, that's one of its real strengths. Gemini is multimodal, so it reads images, audio and video, not just text, and its very long context window handles large documents in one pass. We build the workflows that use that: parsing invoices and screenshots, transcribing and summarising calls, pulling structured data out of PDFs, answering questions about a recording. If your work is more than plain text, multimodal is usually where Gemini pulls ahead of a text-only setup.
  • Gemini API or Vertex AI, which one do we need?
    It comes down to governance. The Gemini API through Google AI Studio is the fast path: quick to connect, great for most products and prototypes. Vertex AI on Google Cloud is the enterprise route when you need access controls, data residency and audit logging, and it sits naturally beside your other Cloud services. For teams already on Google Cloud, Vertex AI usually wins. We set up whichever fits your security and scale, not whichever sounds more impressive on a call.
  • How do you stop Gemini from making things up about our data?
    By grounding it, which is a big chunk of the work. We wire retrieval (RAG) so Gemini answers from your knowledge base, docs and databases with sources, instead of a confident guess, and we lean on its long context where that helps. We add evals and monitoring so you catch quality drift before your team does, plus a human checkpoint wherever the output needs review. No model is flawless, so we build the guardrails that keep a wrong answer from quietly reaching production.
  • Why Gemini and not Claude or another model?
    Because the right model depends on the task, and we stay model-agnostic. Gemini is the natural pick for multimodal work, long context, and teams already living in Google Cloud or Workspace, where it plugs in and the governance is already there. For some reasoning or coding jobs, Claude or another model does better, and we'll say so and route it there rather than forcing everything through one vendor. We pick the model that fits, then deploy it properly. No badge to defend.
  • Do you train our team, or just set it up?
    Both, and honestly the training is where adoption is won or lost. A tool nobody knows how to prompt gets quietly abandoned. We train your team on the prompts and workflows that actually work, set up monitoring so you see quality over time, and leave everything in your account so your people own it. Want to go further? We run AI training on prompting, grounding and agents end to end, so your team can build the next workflow without needing us in the room.
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Deploy Gemini

Stop paying for Gemini nobody opens. Deploy it properly.

A 60-minute audit, your Workspace mapped, a rollout plan with the grounding and training baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.

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