As data continues to thrive, it’s becoming more challenging for modern users to search for relevant information across sources including the cloud, applications, and connected devices. Insufficient information can directly impact employee productivity and work efficiency.
A 2024 Employee Experience industry report made the following revelations:
- On average, employees spend at least 3 hours searching for information to perform their tasks.
- 89% of employees search between 1 to 6 data sources daily.
- 30% of employees don’t know where to look for valuable information.
- 34% of employees are frustrated when they can’t find the right information.
Data silos and disconnected systems are primarily responsible for this problem. Launched in December 2024, Google Agentspace is a Generative AI-powered solution that promises to tackle this challenge.
Here’s what makes Google Agentspace a “game-changer” for employee productivity.
If audio is your preferred media of choice, we’ve used the technology behind Agentspace to create a podcast version of the content below in a matter of seconds. Happy listening!
What is Google Agentspace?
As an extension to Google’s popular NotebookLM, Google Agentspace serves as the launch point for AI-powered agents to access data from the internet and connected applications seamlessly, all while respecting company data security controls. By using pre-built connectors, Google Agentspace saves time by connecting to commonly used enterprise applications, including the following:
- Confluence
- Gmail
- Google Drive
- Salesforce
- Jira
- More coming soon
With its centralized platform, Google Agentspace leverages AI agents to integrate:
- Enterprise-level data
- Google-quality search results
- Advanced reasoning capabilities through AI agents
Here’s an illustration of how Google Agentspace works:
With a single text prompt, Google Agentspace can boost employee productivity by empowering them in daily tasks such as work planning, research work, content creation, and task execution. With Agentspace, employees no longer have to search for information across multiple platforms, nor understand their context before using the information.
How does Google Agentspace improve employee productivity?
With the Generative AI-powered Agentspace tool, employees can easily perform the following tasks to boost their productivity:
- Search for Relevant Information
- Conversational assistance
- Answers to complex questions
- Proactive suggestions
With Google Agentspace, employees can use a single multimodal AI-powered agent to search for any relevant information. As a “single source of truth,” Agentspace elevates enterprise-wide search capabilities through:
Effectively, Agentspace can search for information across both structured data sources (for example, database tables) and unstructured sources (for example, emails and shared documents). Using pre-built connectors, employees can also access third-party applications like Confluence, MS Sharepoint, and Jira.
Here are some Agentspace use cases and examples:
- Summarize Knowledge from Multiple Resources
Modern employees work with various types of resources – including text files, PDFs, presentations, and audio/ video media files. Powered by Notebook LLM, Google Agentspace can synthesize and summarize knowledge from diverse sources. Through automated summaries, employees can gain an overview of each available resource without spending a lot of time or effort.
For example, Agentspace can summarize and condense relevant knowledge from documents, business emails, and additional sources. Here are some Agentspace use cases and examples:
- Generate New Content
- Business analysts can generate data-driven presentations from GenAI-enabled industry insights.
- HR managers can streamline the employee onboarding process through personalized email content.
- Software engineers can automatically generate high-quality code and identify software bugs.
- Sales executives can approach prospective customers with optimized content and product recommendations.
Google Agentspace can also help employees across business functions by automatically generating relevant content with a single prompt. Here are some examples:
With Google Agentspace, employees can also generate new content such as accurate product descriptions, blogs, and emails using existing business data and knowledge repositories. Here are some Agentspace use cases and examples:
- Perform Other Actions Using AI Agents
Besides these capabilities, employees can deploy Google Agentspace agents to perform actions within the connected applications – based on AI-powered insights. For example, AI-powered agents deployed in virtual meetings can schedule the next meeting or take recordings of the entire discussion.
With Agentspace, enterprises can customize the AI agents for specific business functions, including sales, marketing, or finance. Here are some Agentspace use cases and examples:
Role of NotebookLM in Google Agentspace
Google’s NotebookLM was primarily designed to help users understand complex information. NotebookLM Plus elevates this capability to the enterprise level. By using NotebookLM Plus, employees can upload information to engage and discover data-powered insights such as audio summaries and more. Besides, it can enhance data security and privacy in the modern workplace.
How Google Agentspace addresses business challenges
In today’s complex business environment, enterprises struggle with siloed applications and systems caused by the mix of both Google and non-Google applications and services. Google Agentspace provides a host of built-in connectors for Google and third-party services like Salesforce, Slack, and Sharepoint. Designed for easy setups, these connectors are secure and enable single-point access for enterprise-wide data. Employees no longer have to wait or switch between applications, thus minimizing any disruption caused by data silos.
At the same time, Agentspace respects company data restrictions. For instance, a user can only see the information in Salesforce that the admin has configured and allowed access to, which is built into the connectors. Employees can now get access to enterprise tools equipped with enterprise security and access control lists (ACLs).
Agentspace also addresses the challenge of data security and privacy. It provides a range of compliance-related features such as:
- VPC Service Control
- FedRAMP
- DRz
- AXT
- CMEK
- HIPAA
Additionally, Google is committed to data security and privacy through the following measures:
- By providing data ownership to customers.
- Guarding against any insider access.
- Not using customer data for training AI models or for sales or advertising.
How Can Onix Help
With over 20 years of experience as a Google Cloud partner, Onix has extensive expertise in technologies like AI, cloud modernization, and data analytics. We have deep change management expertise that can help you implement Google Agentspace – right from the pilot to the production phase.
Reach out to us if you want to know more about Agentspace.
Reference links:
https://cloud.google.com/products/agentspace?hl=en
https://cio.eletsonline.com/news/google-cloud-launches-google-agentspace-to-simplifying-enterprise-workflows/73610/
