Agents that work across everything your company already runs.
Gemini Enterprise is the agentic platform that brings the best of Google AI to every employee, for every workflow. It grounds agents in the systems where your business truth actually lives, whether that is Google Workspace, Microsoft 365, Salesforce, ServiceNow, or all of them at once. Dito is the Google-dedicated partner that gets it into production, drives the adoption, and keeps it governed.
What your people get on day one
One place to ask
An assistant and enterprise search grounded in your business data, reaching across every connected system.
Agents that arrive ready
Google-made agents including Deep Research and Gemini Notebook, plus a catalog from Google's partner ecosystem.
Agent Designer
Any employee turns their own expertise into a shared agent using drag-and-drop tools. No code required.
One governance dashboard
Central visibility and control over connectors, user permissions, policies, and agent activity.
Grounded in the systems you already run
SharePoint · OneDrive · Outlook · Teams · Entra ID · Dynamics 365
Drive · Gmail · Docs · Sheets · Chat · Calendar
Salesforce · SAP · ServiceNow · Workday · Jira · Confluence · Slack
BigQuery · Oracle · Databricks · custom MCP servers
Connectors run in federated search mode, which queries systems in place, or data ingestion mode, which indexes content for faster retrieval. You choose per system. Both modes respect the permissions your users already have.
Switching apps kills context. That is the tax your AI has been paying.
The context you can put in front of a model is the single biggest factor in the quality of what comes back. In most enterprises that context is fragmented twice over, and no amount of model intelligence fixes it. This is why so many AI pilots produce impressive answers and almost no change to how work gets done.
Context is siloed inside every product.
Your people re-explain the same intent every time they cross an application boundary. Ask in the email tool, re-ask in the document, re-ask again in the CRM. The model starts from zero on every hop, and the person carries the burden of stitching it together.
Context is siloed for every user.
A team working one problem briefs each other, then briefs the AI again, separately. When a marketer changes a field in a spreadsheet, someone has to email a developer to explain what changed and where it maps. That is the handoff tax, and it gets paid every day.
So you get answers, not work.
A chatbot waits to be asked. A workflow runs the script it was given and stalls on the first exception. An agent takes a goal, plans the steps, calls the tools, and finishes the job. Only the third one changes your operating cost, and it only works when context is continuous.
No matter how powerful the model, fragmented context limits what it can do inside an enterprise. The friction is not in the intelligence. It is in the boundaries.
The premise Gemini Enterprise was built on
The distinction that runs through this page: chatbots respond, workflows execute, agents decide. Each step up multiplies both the value and the need for governance. Gemini Enterprise is built for the third step, and so is Dito's practice.
One agentic platform, sitting above every system you run.
Gemini Enterprise is not a chat window bolted onto a productivity suite. It is the layer where your people find information across the whole company, put ready-made agents to work, build their own, and where you keep visibility over all of it. Dito composes the right configuration for your environment, then makes sure it gets used.
Find
Search that crosses the walls
One prompt reaches across every connected system, instead of making someone search Drive, then SharePoint, then Jira. Answers come back grounded in your business data with the sources behind them, drawn only from content that person is already permitted to open.
Federated or ingested, your choice per system
Deploy
Agents that arrive ready
Google-made agents such as Deep Research and Gemini Notebook deliver value from the first week. Beyond those, a growing catalog from Google and its partner ecosystem covers common functional work, so your first win does not have to wait on a build cycle.
A taskforce, not a single assistant
Build
Agent Designer, for people who do not code
Any employee can turn their own expertise into a shared agent using drag-and-drop tools. That is how an agentic workplace actually scales: the people closest to a process build for it. Technical teams bring custom and third-party agents into the same place and govern them there.
MCP and A2A for cross-platform interoperability
Govern
One place to see all of it
Central control over connectors, user permissions, and policies, with Model Armor screening interactions for unsafe and malicious input. The Standard and Plus editions add VPC Service Controls, customer-managed encryption keys, Access Transparency, and data residency, and support workloads carrying HIPAA and FedRAMP High requirements.
Four editions: Gemini Business, Gemini Enterprise Standard, Gemini Enterprise Plus, Gemini Enterprise Frontline. Dito helps you license the one your use cases justify.
The platform is the same. The path in is not.
Nearly every organization we talk to starts from one of two places. The question is never which is better. It is what has to be true in the first ninety days, what your security team needs to see before anything connects, and what your people will notice on day one.
You already have Google. Gemini Enterprise is the layer that reaches past it.
Your teams already have Gemini working inside Gmail, Docs, and Meet on personal and team context. Gemini Enterprise does a different job. It reasons across the entire organization, connects to the business systems outside Workspace where the rest of your truth lives, and lets people build and share agents rather than only prompting one.
The advantage of starting here is distance. Identity is already federated, the Admin console is already your control point, and your organization has been through Google change management before. That shortens every step between decision and daily use.
Enable by organizational unit or group
Plus Gemini CLI for technical teams
Salesforce, ServiceNow, SAP, Jira, BigQuery
Not included in your Workspace subscription
Adoption and governance, run as a standing function
Licenses do not create outcomes. Two things decide whether Gemini Enterprise pays for itself: whether your people actually use it, and whether you can answer for what the agents did. Both are ongoing work, not project work.
Connectors need reauthorization when the platform changes. Permissions drift. New agents appear that nobody reviewed. Someone has to own that, and most organizations should not have to build the function before the value is proven. Our SAF3AI framework covers AI governance across platforms, so this stays coherent even where your estate is not all Google.
Model 01
Fully Managed
Dito runs adoption and governance for you: connector and permission stewardship, agent review, enablement programming, and a standing report to your leadership. You own the outcomes. We run the function.
Model 02
Co-Managed
Dito specialists work inside your team. Your people keep control and decision rights. Ours bring the depth and the bench behind them when something new lands on the platform.
Model 03
Operate and Transfer
We stand the function up, run it to a steady state, and train your team to take it over on a defined timeline. Capability building, not dependency.
The questions technology and security leaders ask us first
Start with a briefing, not a demo.
Forty-five minutes with a Dito architect. Bring your environment and one process that frustrates you. You will leave with a point of view on where Gemini Enterprise fits, what it would touch, and what the first ninety days should look like.
- Which of your processes are agent-ready, and which one earns the first build.
- What connecting your systems actually involves, in your environment and on your permission model.
- Whether managed governance or an internal function is the right fit for your organization.
