AI inside the Google Workspace you already run.
Gemini is the right AI layer for Google-first companies. We deploy Gemini for Workspace, configure Gems and NotebookLM, and (where production is required) build on Vertex AI with your data residency and governance.
If this sounds familiar
“We run on Google Workspace. Every AI article talks about Copilot. We need a real plan for Gemini, not a rename.”
What this engagement is
Deploy Gemini across Google Workspace (Gmail, Docs, Sheets, Meet, Drive), securely.
Google Workspace shops are underserved in the AI content landscape. Gemini for Workspace, NotebookLM, and Gems cover the day-to-day. Vertex AI covers anything that needs production, agents, or data residency. We design the right mix for your team and deploy it with the same rigour we bring to Microsoft environments.
Outcomes you can measure
- Gemini configured across Gmail, Docs, Sheets, Meet, and Drive
- NotebookLM rolled out for knowledge workflows
- Gems built for recurring tasks
- Optional Vertex AI deployment for production workloads with data residency
What you get
Deliverables.
Everything included in the engagement, in writing.
Gemini for Workspace tenant configuration
3–5 Gems for the highest-value recurring tasks
NotebookLM workspace setup with your sources
Vertex AI reference architecture if production is in scope
Enablement and adoption playbook
Who it is for
Built for teams that need this outcome.
SMBs and mid-market companies standardized on Google Workspace
Marketing, creative, and media teams on Gmail, Docs, and Meet
Startups and scale-ups on GCP that want production AI without leaving the cloud
Tools we deploy on this engagement
- Gemini for Google Workspace
- Google AI Studio
- NotebookLM
- Gems
- Vertex AI
- Google Cloud
Common questions.
Gemini wins inside Google Workspace the way Copilot wins inside Microsoft 365: native context in your email, documents, and meetings. On pure model capability the three model families (Gemini, GPT, Claude) trade leadership per task. If you live in Workspace, Gemini is the right starting point.
Gemini for Workspace is for humans-in-the-loop productivity. Vertex AI is for anything programmatic: agents, batch processing, embeddings, Retrieval-Augmented Generation, and production workloads where you need data residency or VPC-SC.
Yes. The right model per workflow is a core part of our recommendation. Gemini in Workspace, Claude via Vertex for long-document work, GPT where it leads. We design the mix.
Related
Often paired with.
Workflow Automation Assessment
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AI Agent Sprint
Ship a production AI agent that takes recurring work off your team in three to four weeks.
Claude for Knowledge Workflows
Deploy Anthropic Claude for document-heavy, knowledge-intensive work, safely.
See the workflows this engagement targets
Ready to start?
20 minutes. No obligation. Scope and pricing confirmed on the call.