What Is Google Agentspace And What's Inside?

Google Agentspace is a new enterprise offering from Google that unites powerful AI agents, search, and enterprise data in one place.

It leverages Gemini’s advanced reasoning and Google-quality search to help employees research, plan, generate content, and automate actions—all from a single, secure workspace.

In this article, we'll cover what is Agentspace and what are its current capabilities.

Who Can Benefit

Enterprise Teams and Knowledge Workers

If you’re juggling multiple tools just to find the right answers, Agentspace streamlines that process. It provides a unified, company-branded search agent and tailored AI helpers (agents) to assist with complex tasks like analyzing data, summarizing reports, and generating documents.

Departments Across the Organization

• Marketing: Use AI agents to analyze campaign performance, draft blog posts in the company’s brand voice, and curate audio summaries of industry trends.
• Finance & Legal: Rapidly summarize financial reports or regulatory documents with NotebookLM Plus, and automate routine workflows like expense reports.
• HR: Onboard employees more efficiently by offering them a single search agent to answer benefits questions, translate documents, or provide quick policy overviews.
• Engineering & IT: Identify code bugs, build workflows, access internal documentation, and integrate data from multiple sources for product development.

How to Access Google Agentspace

1. Early Access Program:
   You need to sign up for the early access program to start exploring Agentspace’s capabilities. Availability will expand as Google Cloud continues its rollout.

2. Integration with Existing Infrastructure:
   Agentspace connects with popular third-party applications like Confluence, Google Drive, Jira, Microsoft SharePoint, ServiceNow, and more. This means you can leverage existing platforms and file repositories without migrating data.

3. Customizable and Secure Setup:
   Built on Google Cloud’s secure-by-design infrastructure, Agentspace can be configured by your IT team with role-based access controls, encryption, and compliance features to meet enterprise security and governance requirements.

Feature 1: NotebookLM Plus for Enterprise Data Engagement

What it is:
NotebookLM Plus builds on the consumer-loved NotebookLM tool to help employees quickly synthesize documents, uncover insights, and engage with data in new ways—including podcast-like audio summaries.

How to use it:

• Upload complex documents or datasets into NotebookLM Plus.
• Ask natural-language questions and get concise summaries, insights, or even audio overviews.
• Apply the insights directly in your workflows, speeding up research and analysis.

Feature 2: Enterprise-Wide AI-Powered Search

What it is:
Agentspace provides a single, company-branded multimodal search agent that acts as a central “source of truth.” With Google-quality search and Gemini’s reasoning, employees can ask complex questions and get proactive suggestions, leveraging both unstructured (documents, emails) and structured (tables, databases) data.

How to use it:

• Use natural language prompts to find information across multiple sources—no need to open separate tools.
• Translate documents automatically to understand info from different regions.
• Quickly locate Jira tickets, summarize them, and email the manager—all without leaving Agentspace.

Feature 3: Expert AI Agents to Automate Business Functions

What it is:
Expert AI agents can be tailored to various departments (marketing, finance, legal, engineering) to conduct research, draft content, and automate multi-step workflows. Soon, employees will be able to build and tune their own agents with a low-code tool.

How to use it:

• Launch a marketing agent to produce social media content in the company’s tone.
• Use a finance agent to compile expense reports and generate summaries.
• Let engineers rely on an IT agent that pulls code examples from internal repos and suggests improvements.

Future Capabilities and Ecosystem Integrations

Google plans to add more file type support, deeper integrations with cloud storage providers, and more robust ways to discover and manage AI agents.

Conclusion

Google Agentspace introduces a new approach to how organizations access and use their collective knowledge. Its effectiveness and long-term value remain to be demonstrated through practical implementations. If it achieves its stated goals, it could help enterprises move beyond current workflows and fragmented information systems.

Valeriia Kuka

Valeriia Kuka, Head of Content at Learn Prompting, is passionate about making AI and ML accessible. Valeriia previously grew a 60K+ follower AI-focused social media account, earning reposts from Stanford NLP, Amazon Research, Hugging Face, and AI researchers. She has also worked with AI/ML newsletters and global communities with 100K+ members and authored clear and concise explainers and historical articles.