Google Agentspace is an intranet search, AI assistant, and agentic platform, bringing knowledge workers the power of generative AI and agentic workflows and leveraging data sources from across your organization. It includes prebuilt connectors for the most commonly-used third-party applications, such as Confluence, Jira, Microsoft SharePoint, ServiceNow, and more, giving employees a single multimodal search interface with permissions-aware access to enterprise information. Agentspace can provide conversational assistance, answer complex questions, and host custom AI agents that apply generative AI contextually.
Why use Agentspace?
In most enterprises, knowledge discovery tools don't offer personalization, answer generation, user context, or deep retrieval. Users lose time searching across a variety of systems. Agentspace empowers your employees to find the right information at the right time by connecting content across an organization and using that content to generate grounded, personalized answers. With Agentspace, you can:
- Ingest large volumes of enterprise data from multiple formats and platforms into a single app.
- Sync and search across data from SaaS systems such as Salesforce, Jira, Confluence, and more.
- Scalably deliver access-controlled search results and generative answers to thousands of employees.
- Streamline agentic workflows by working across your enterprise data, eliminating the need to switch between multiple AI assistance and agent applications by integrating them into one workflow.
- Create and configure AI assistants offering generative answers and conversation that's grounded on your enterprise data, and optionally, grounded on public website data.
- Use out-of-the-box agents, available to you in the Agents gallery, or assemble your own no-code agent with Agent Designer.
Agentspace offers an array of unique advantages to enterprises:
- Built-in trust: Prioritize security, explainability, and governance to ensure reliable and transparent results. You can authenticate user experiences using SSO, with a built-in permissions model and support for user-level access controls.
- Google intelligence: Learn from user behavior and content patterns to deliver results that are not only relevant, but anticipate unasked questions. This means going beyond keyword matching to deep semantic intelligence, powered by Google's planet-scale language understanding, knowledge graphs, and large language models.
- Universal connectivity: Connect to various enterprise systems, with on-demand and automated refresh, and use syncing to break down barriers between cloud platforms, legacy systems, and file shares.
- Enterprise-level customization and user-level personalization: With advanced controls for enterprise with search, recommendations, LLMs, and knowledge graphs, provide a personalized search experience for each user, factoring in their role, permissions, and search history.
- Real-time feedback and adaptation: Continually improve results based on real-time feedback with large-scale, machine-learning-based systems.
- Blended RAG: Customizable RAG over a blended data source. Agentspace powers generative AI use cases that are grounded on enterprise data spread across multiple formats and platforms.
- Scalability: Scale across geographies, languages, and peak volume requirements.
NotebookLM Enterprise, AI-powered research and knowledge assistant
Included with Google Agentspace, NotebookLM Enterprise is an AI-powered research and knowledge assistant that helps you to summarize information, brainstorm ideas, and write with confidence. You can use NotebookLM Enterprise to create notebooks that contain your notes, sources, and ideas.
Next steps
For more information about Google Agentspace, see the following pages:
To learn about Google Agentspace and related products, see:
To get started with using Agentspace, see Get started with Google Agentspace.