Google Unveils Agentspace: An AI-Powered Enterprise Platform for Unified Search and Task Automation

Google Unveils Enterprise AI Platform With Search and Agents | PYMNTS.com

Google unveiled a platform that provides artificial intelligence agents and AI-powered search to enterprises. The new Google Agentspace brings together the company's Gemini AI model and search capabilities and the enterprise's data, wherever it's stored, Google said in a Friday (Dec. 13) press release. "Google Agentspace makes your employees highly productive by helping them accomplish complex tasks that require planning, research, content generation and actions -- all with a single prompt," Saurabh Tiwary, vice president and general manager of Google Cloud AI, said in the release. The platform will include NotebookLM Plus, a new tool that synthesizes information, uncovers insights, and provides audio summaries and other ways to engage with the enterprise data, according to the release. An early access program is now available. Google Agentspace also provides a company-branded multimodal search agent that enables information discovery from structured data like tables, unstructured data like documents and emails, and commonly used third-party applications like Google Drive, the release said. Using the company's information, this search agent delivers conversational assistance, answers to complex questions and proactive suggestions. The platform also enables the launch of custom AI agents that automate functions like research, content drafting and repetitive tasks, per the release. An early access program is now available. Google Agentspace will soon add the ability to help employees build and tune their own AI agents. One enterprise customer already using Google Agentspace, Brazilian bank Banco BV, said in the release that the platform is enabling search, assistance and actions across its systems in a secure and compliant way. AI agents are quietly reshaping industries and automating complex tasks while thinking independently and learning from their environment, PYMNTS reported in October.

Google Agentspace wants to use AI to help you find out all the work information you need

Combining Gemini AI, Google search and company data in one place Tracking down the specific information you need at work could soon be a lot easier thanks to a new launch from Google Cloud. The company has launched Agentspace, a new multi-modal search agent that it says will make it much easier to find the answers you need, even to complex questions. Agentspace will combine Gemini's intelligence alongside "Google-quality search" and your company's own data to provide what will hopefully be the best answer, all with a single prompt. In a blog post announcing the news, the company described Google Agentspace as, "a single, company-branded multimodal search agent that acts as a central source of enterprise truth for the entire organization." It added that although generative AI offers "immense promise for employee productivity", the information needed to unlock this is often hidden away in silos on workplace systems. Agentspace will even be able to make suggestions on the next steps to take following your question, and take action based on company-specific information, meaning you shouldn't get caught out. The agent can be branded with your organization's own look, and will have translation software built-in, so colleagues from across the world can use it. It can utilize both unstructured data - such as documents and emails - and structured data such as tables, and comes with pre-built connectors for a wide range of third-party tools and services, including the likes of Confluence, Google Drive, Jira, Microsoft SharePoint, ServiceNow. Agentspace can also be used as a central point for businesses to share access to a range of different custom AI agents - with workers also soon able to use a low-code visual tool to build and tweak their own agents. Google Agentspace is available in early access preview now, with a wider launch planned for 2025.

Google launches Agentspace to combine AI agents and enterprise search - SiliconANGLE

Google launches Agentspace to combine AI agents and enterprise search Google's LLC's cloud division today announced the launch of Agentspace, a centralized tool for providing knowledge and expertise for employees, powered by generative artificial intelligence agents that can also take actions on their behalf. The search and data giant focused heavily on how AI agents could use knowledge of enterprise data to deliver information no matter where it's hosted. According to the company, employees spend a great deal of time using multiple tools to answer questions, switching among them to gather knowledge and finally to collect their thoughts. "Google Agentspace makes your employees highly productive with a single prompt -- it helps them accomplish complex tasks that require planning, research, content generation and actions," said Saurabh Tiwary, vice president and general manager of cloud AI at Google. Agentspace works to deliver this information as a conversational interface, like any other generative AI chatbot. It can provide conversational assistance, answer multipart questions and make proactive suggestions based on employee needs. Beyond normal chatbot capabilities, it can also take actions on behalf of users. For example, an employee could use Agentspace to create a press release using a prompt. Under the hood, the system would use AI agents to do deep research into the company's previous releases to get a template to format it and bring in information from enterprise sources that the employee has access to such as Confluence, Google Drive and Microsoft Sharepoint. Once the press release is written, the user can review it and they can ask Agentspace to email it to their marketing team. Since Agentspace can access their enterprise team contacts, it can bring up an email form directly in the interface, populate addresses, attach the document and allow the user to hit send. There are many potential use cases for this feature across various teams. Another example includes business analysts asking the agent to examine business trends to create a data-driven presentation, including graphs and charts. Human resources could use it to assist with employee onboarding, including complex cases such as 401k selection. Google added that given Gemini's capability with writing computer code, software engineers could benefit from Agentspace agents assisting with identifying and resolving bugs. This release follows a trend known as "agentic AI," where companies such as Microsoft Corp., Salesforce Inc., HubSpot Inc. and others have integrated AI agents into their platforms and services. OpenAI, best known for its ChatGPT chatbot, recently announced plans to launch an AI agent capable of performing web browser-related tasks in January. Google added that Agentspace can also uncover insights from NotebookLM, an AI-powered note-taking and research application that allows users to make sense of complex information sources. The company is bringing this capability to enterprises, too: With NotebookLM Plus, employees can upload large documents, images, videos and other complex data and engage with it like talking to a research assistant. NotebookLM can also provide a podcast-like audio overview to make unfamiliar topics easier to understand.

Secret Agentspace: Google announces new AI tool to help enterprises turn silos into lakes

Google Search is an incredibly valuable resource, to the point that it has effectively defined the modern internet. But as we've all experienced, Search doesn't always get the right results. We're often left looking for answers, despite the search engine providing many choices to dig deeper into. Sometimes, that outcome is because the search engine has been gamed, and less-than-relevant results are presented because of SEO activities from website operators. Also: Google's Gemini 2.0 AI promises to be faster and smarter via agentic advances Sometimes less-than-satisfying answers are presented because the information is unavailable online, or search strings are imprecise or ineffective. And sometimes less-than-satisfying answers are presented because the data is locked behind proprietary firewalls. Google seeks to solve this final problem with Google Agentspace, its agentic AI offering for the enterprise. In a blog post today, Google Cloud AI VP and General Manager Saurabh Tiwary describes AgentSpace by saying, "It unlocks enterprise expertise for employees with agents that bring together Gemini's advanced reasoning, Google-quality search, and enterprise data, regardless of where it's hosted." Let's deconstruct the core components of this offering: AI, search, and data. Let's start with data. It's not just data, says Tiwary. It's data "regardless of where it's hosted." That approach means it's possible to use Google's powerful search and retrieval tools to scan a wide variety of silos. Google mentions Confluence, Google Drive, Jira, Microsoft Sharepoint, and ServiceNow, but implies there will be more. When combined with Google Search, this functionality effectively turns data silos into a data lake, making that information accessible across the enterprise and in cross-functional uses without regard to where it was originally captured and stored. Also: 5 reasons why Google's Trillium could transform AI and cloud computing - and 2 obstacles Obviously, there are security considerations. Agentspace uses Google's Secure by Design architecture, which provides granular control over data and who can use it. Google lists IT controls that will be applied to Agentspace, including: So, you've got data hosted across several enterprise and cloud infrastructures that Google's search prowess can index and retrieve. Now, add agentic AI to that mix. Also: Gemini's new Deep Research feature searches the web for you - like an assistant Earlier this week in a blog post, Google and Alphabet CEO Sundar Pichai described agentic AI as a user interface with "action-capabilities". He listed three criteria that characterize agentic AI which can be boiled down to situational awareness, the ability to plan steps, and the ability to take action. Awareness, planning, and action. Combine those with the ability to search across enterprise silos and you have a potent recipe for potential solution development. Programmers have been building apps for years now that have crossed silos, operated according to algorithmic steps, had situational awareness, and taken some actions. But we've had to build those things using microservices and data interchange protocols, and all the tedious and complex tools of interoperability. What if some of those internal enterprise projects no longer took a year to field, but a few afternoons of prompting and refining? That's some powerful stuff right there. Also: AI is moving undercover at work in 2025, according to Deloitte's Tech Trends report There will be work for coders to complete, especially when building and fine-tuning these agents. But the time it takes to do all the tedious interconnection stuff may be handled behind the scenes by the data robot. I talked about how to think about programming with AI in my 25 tips article. A big part of the message was to leave the common knowledge work to the AI and do the unique, proprietary stuff in code. With agents, the same is true. You'll have to describe the business processes and the things you need to see from the data. But you won't have to bang your head against the wall to write code to extract mixed-mode data from Sharepoint, for example. Skipping that stage will save weeks. There's another interesting part to this announcement: integrating your enterprise data with NotebookLM. I discussed NotebookLM earlier this year when I showed how the tool could turn an article into a compellingly realistic podcast. Also: OpenAI rolls out Canvas to all ChatGPT users - and it's a powerful productivity tool But NotebookLM is more than a podcasting novelty. Think of it as a tool for processing collections of documents. Users can upload batches of documents to individual folders called Notebooks. Then, they can use Google Gemini to perform AI-enabled tasks on those notebooks, whether summarizing the information, synthesizing it in various ways, or organizing it. By connecting unified silos of enterprise data into project-specific notebooks, which can then be processed by an AI, employees can "synthesize, uncover insights, and enjoy new ways of engaging with data, such as podcast-like audio summaries," according to Google's Tiwary. Let's wrap this up with a particularly telling statement by Nokia's Chief Digital Officer, Alan Triggs. He says, "Google Agentspace has the potential to revolutionize how our teams across Nokia find and leverage critical insights." He summarized what seems to be the key benefit of this new offering, saying, "We're particularly excited by Google Agentspace's ability to blend various data sources and deliver personalized, contextually relevant answers. By unifying our knowledge resources, providing AI-powered assistance and automating workflows, we strive towards reduced time spent searching for information, faster decision-making, and improved collaboration and productivity." What do you think about Agentspace? Can your organization benefit from unified silos and agent automation? Have you worked with agentic AI before? Let us know your thoughts in the comments below.

Google Agentspace is a 'multimodal search agent' for companies

Branded like the Workspace suite of productivity apps, Google Agentspace combines "Gemini's advanced reasoning, Google-quality search, and enterprise data." Announced by Google Cloud today, it gives enterprises a "company-branded multimodal search agent," complete with a homepage that's a mix of the Gemini and/or Google Chat sidebar and the Google Drive "Home" view with recent files, Calendar widget, and corporate announcements. There's also a mobile interface. You're prompted to "Search content or ask questions." Google Agentspace can "provide conversational assistance, answer complex questions, make proactive suggestions, and take actions based on your company's unique information." For example, you can type "I want to file an expense report" and be directed to the appropriate tool. There's also the ability to summarize data. It does this by accessing emails, documents, data tables, with built-in translation from Google Drive and other third-party applications, like Confluence, Jira, Microsoft SharePoint, and ServiceNow. As the name suggests, you can also use it to access AI agents: "With Google Agentspace, enterprises can scale AI by providing a single location where employees can easily discover and access agents for their organization. Soon, employees will be able to use a low-code visual tool to build and tune their own expert agents with Google Agentspace." You can access Gemini, Imagen (image generation), and Veo (video) in Google Agentspace. Meanwhile, there's also access to NotebookLM Plus with your company's data.