Generative AI grows more capable every month, but real business value depends on access to the right data.
Teams store information across email systems, project platforms, CRMs, cloud drives, and knowledge bases. When everything sits in separate systems, AI struggles to give accurate answers or take meaningful action.
Gemini Enterprise solves that challenge by bringing all your business data into a single, secure environment that supports agentic workflows.
Gemini Enterprise is Google’s platform for workplace AI. It supports complex, multi-step tasks and uses enterprise data as grounding. The platform previously carried the name Agentspace, so you may still see that term in older resources. The core capability remains the same: a flexible AI environment that uses connectors to link your agents to your business data.
Connectors give Gemini Enterprise the context it needs. Each connector serves as a secure bridge between the platform and the systems you rely on every day.
Because these connectors read your existing permissions, your data stays protected. People only see the information they already have access to, which keeps your environment aligned with security and compliance requirements.
This guide walks you through 10 of the most useful pre-built connectors available today. These options strengthen productivity, support better decision-making, and help you adopt agentic AI with less friction.
Most teams start here because their daily workflow already lives inside their Google Workspace apps including Gmail, Google Drive, and Google Calendar. These connectors give Gemini Enterprise real-time visibility into your communication, projects, and schedule.
Your documents, slides, and sheets hold a huge amount of business knowledge.
When Gemini connects to Drive, it can summarize project files, answer questions about shared content, and organize information that would normally take hours to review.
This context also helps agents produce better drafts for reports, proposals, or planning documents. Nothing leaves your environment and Gemini Enterprise respects existing sharing settings.
Email often contains the clearest record of customer conversations, vendor updates, and internal decisions.
Gemini Enterprise can read message threads you already have access to and provide summaries, draft follow-up responses, or extract action items. Review stays in your hands while the platform handles the heavy lifting.
Schedules are often overlooked sources of context. Meeting titles, invite lists, and past events help AI understand the status of a project or the priorities of your team.
Gemini Enterprise can propose meeting times, flag possible conflicts, or reference previous discussions that appear in your calendar history.
Together, these connectors create a strong foundation for AI support across your daily workflow.
Many organizations run hybrid environments with both Google Workspace and Microsoft 365. Pre-built Microsoft connectors make Gemini Enterprise valuable even in those complex setups. You gain a unified AI layer without forcing your team to switch systems.
SharePoint and OneDrive store a wide range of documents, policies, and team resources.
Gemini Enterprise can surface information directly from these systems and summarize it through natural language queries. This boosts knowledge discovery without changing your storage strategy.
Email in Microsoft environments often contains customer updates, internal coordination, and ongoing project communication.
With the Outlook connector, Gemini Enterprise can reference those conversations and support fast follow-up messaging, similar to its Gmail use cases.
Identity remains a critical element of secure AI usage.
The Entra ID connector strengthens your environment by bringing identity data into Gemini Enterprise. This keeps permissions aligned across your systems and ensures that responses rely only on accessible content.
These connectors make Gemini Enterprise a practical choice for organizations that rely heavily on Microsoft products or maintain a hybrid mix.
IT teams handle high volumes of questions and service requests across multiple platforms. Gemini Enterprise’s connectors bring structure to that work and improve service delivery.
When Gemini Enterprise connects to ServiceNow, your agents can read past tickets, summarize known issues, and respond to common service questions.
Your help desk becomes more efficient because the platform provides fast, consistent answers that match existing procedures. This also reduces repetitive tasks for your service team.
Project tracking becomes simpler when AI can reference issue descriptions, comments, and status updates.
Gemini Enterprise can help you gather details for sprint planning, pull context for bug reports, and organize information that would otherwise stay buried in long ticket threads.
Confluence documents often hold setup steps, troubleshooting guides, and internal best practices. Gemini Enterprise can consolidate that content and deliver quick answers drawn from your knowledge base. This helps new employees onboard faster and gives teams a reliable reference point.
These connectors help IT and support teams work with fewer interruptions and more consistent information.
Customer-focused teams need strong grounding in CRM data to write accurate proposals or understand account status. This makes the Salesforce connector one of the most impactful options in Gemini Enterprise.
Gemini Enterprise can pull relevant details from opportunities, contacts, and historical notes.
With this context, the platform drafts proposals, summarizes account activity, and highlights patterns in your sales pipeline. Your team makes better decisions about outreach, renewals, and forecasts because the information stays organized and easy to query.
This connector also helps you reduce administrative work. Agents can update records based on your prompts, prepare reports, or gather data for leadership review.
Gemini Enterprise’s pre-built connectors remove the friction that often slows down AI adoption. Your team sees results quickly and avoids the long development cycle that comes with custom integrations.
Because these connectors already exist, you plug them in and start working. This reduces dependency on developers and shortens the time between planning and real-world use.
It also lowers cost because you avoid custom workflows during the early stages of deployment.
Each connector follows the access controls your organization already uses.
Gemini Enterprise only reads the information your users can see. This protects sensitive data and supports compliance needs without adding new workflows or policy changes.
Gemini Enterprise becomes a single place to ask questions across all connected systems.
Instead of searching Drive, then SharePoint, then Jira, your team uses one natural language prompt. Responses arrive faster and reflect a broader set of data.
Agentic AI performs multi-step tasks, and strong context determines how well those tasks run.
Connectors give Gemini the grounding it needs to take action on your behalf. That grounding helps your agents handle tasks such as generating follow-up messages, preparing reports, coordinating project steps, or answering complex questions.
These benefits build a strong foundation for organization-wide AI support.
Gemini Enterprise becomes significantly more useful when it connects to your business data.
Pre-built connectors remove silos, strengthen search, and give your agents the context required to support real work. Teams produce better content, answer questions faster, organize information more effectively, and reduce time spent on manual tasks.
As you consider your next step in AI adoption, you can evaluate which systems hold the largest amount of your operational knowledge. Starting with one or two connectors often unlocks immediate value and builds confidence across your team.
Whenever you want help navigating Gemini inside Google Cloud or Google Workspace, Promevo supports your rollout with guidance, implementation support, and best practices that keep your environment safe and productive. Contact us to take the first step.
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