In today's fast-paced business world, employees often face the challenge of navigating scattered information islands and dedicating valuable time to repetitive tasks across multiple systems. What if you could easily apply search, AI, and agents throughout your enterprise from a single platform? This is where Google Agentspace emerges as a transformative solution. Agentspace is a SaaS product designed to unlock enterprise expertise for employees, using agents that combine advanced reasoning, Google-quality search, and corporate data, no matter where it's hosted. Its goal is to make your employees highly productive, enabling them to achieve complex tasks requiring planning, research, content generation, and actions—all with a single instruction. Agentspace redefines how work is done with a unified platform and interface.
Agentspace: A Centralized Destination for Discovering Enterprise Information
One of the core elements of Google Agentspace is its ability to provide a unified, Google-quality search experience across all enterprise data. It acts as a central source of truth for the entire organization. Built on Google's leading search technology and powered by Gemini, it can search both unstructured data, like documents and emails, and structured data, like tables.
Agentspace achieves this through pre-built connectors for common third-party applications, including Google Drive, Jira, Microsoft SharePoint, Confluence, ServiceNow, and more, allowing employees to easily access and query relevant data sources. The platform supports multimodal search, understanding and processing text, images, graphs, infographics, and video to deliver the most relevant information.
A key feature is the use of enterprise knowledge graphs, created from data ingested by the connectors. The integration of these graphs dramatically enhances search accuracy and quality, boosts more authoritative results, and enables relational queries that connect multiple entities at once, such as "Who is the manager of Project X?" or "Show me bugs assigned to me." This also allows for personalized search experiences by leveraging relationships within the data. Agentspace provides search results, answers, and citations across connected sources, and respects access control, reading identity provider permissions to ensure only content the authenticated user has access to is displayed.
Empowering Personal Productivity
Agentspace impacts the efficiency of 100% of the workforce by streamlining personal tasks. It offers functionalities for email search and actions, such as generating and sending emails, summarizing long threads, and drafting context-based replies. Calendar management is simplified, allowing users to schedule, reschedule, or cancel meetings using natural language, find available slots, get reminders, and book meeting rooms. For information retrieval and summarization, it enables quick finding of relevant documents and summarizing lengthy reports or articles for efficient consumption. Additionally, it provides real-time translation of documents and communications.
Automating Business Functions with Expert Agents
Agentspace serves as a launchpad for custom AI agents and pre-built expert agents. These agents apply generative AI contextually to automate repetitive tasks and multi-step workflows across different business functions. The platform acts as a centralized hub where employees can easily discover and access a wide range of specialized agents.
Use cases are varied and function-specific, including:
- Marketing: Analyzing customer feedback, market research, campaign analysis, content creation, and custom agents for identifying segments and generating specific messages.
- Sales/Relationship Management: Instant access to customer profiles, product information retrieval, sales material generation, investment research, and custom agents for monitoring markets or identifying upsell/cross-sell opportunities.
- Technology and Data: Identifying and correcting code errors, analysis for code optimization, retrieving implementation instructions, managing Jira incidents, and custom agents for testing code or tracking revisions.
- HR: Creating job descriptions, generating interview questions, analyzing resumes, creating training materials, analyzing performance data, generating development plans, analyzing employee feedback, and custom agents for managing surveys, guiding on HR policies, or analyzing workforce data.
- Finance: Natural language financial analysis, financial report generation, presentation creation, data analysis for trend identification, automation of routine tasks like invoice processing, and custom agents for regulatory reporting, audits, or financial planning.
- Legal: Analyzing and summarizing legal documents, contract review.
- Risk Management: Researching and analyzing best practices, summarizing risk reports, monitoring regulatory news, policy creation, and custom agents for assisting in risk assessment.
- Operations: Searching and retrieving procedures, summarizing guides, analyzing operational data, and custom agents for extracting data from documents.
Administrators can configure and deploy agents, setting safeguards and policies to ensure secure and enterprise-compliant use. Agents can be of various types: expert agents built by Google (like the Deep Research Agent or Idea Generation Agent), agents built by employees themselves without code (using no-code builders) or with code (using Vertex AI or other platforms), and partner agents available through the Google Cloud Marketplace
Deep Research and Analysis with NotebookLM
For research needs and the task of making sense of complex information, Agentspace integrates NotebookLM functionality for enterprises. It allows users to upload documents (up to 300 sources, 500,000 words per source) and chat with their sources, gaining grounded insights based on the uploaded documents. With NotebookLM, employees can generate summaries, outlines, and key takeaways from research materials, create audio summaries, and collaborate with colleagues by sharing Notebooks. Notebooks are even searchable within the Agentspace experience.
Conclusion
In essence, Google Agentspace enhances employee efficiency by unifying access to dispersed information, providing a centralized site for discovering and utilizing intelligent agents that automate tasks and processes, and enabling deep interaction and synthesis of complex data through NotebookLM. By integrating quality search, advanced AI, and agent functionality into a secure and controlled platform, Agentspace empowers employees to be more productive, make faster decisions, and focus on higher-value strategic activities. The AI era has begun, and platforms like Agentspace are leading the way in transforming how we work.
