As attention pivots towards 2025, agentic AI is front and center in conversations around business tech. Google Cloud has hit the ground running, setting the stage for the next wave of AI agents.
Just a few weeks ago, I reviewed how the company is leveraging its partner network to drive agentic AI adoption through a dedicated “AI Agent Space” on Google Cloud Marketplace. Next, we learned that the latest version of Gemini is designed to support AI agent use cases. Now, Google Cloud has launched Google Agentspace, an agentic AI platform that combines the best of Google search with Gemini and secure data access.
What is Google Agentspace?
“Generative AI holds immense promise for employee productivity,” said Saurabh Tiwary, Vice President and General Manager of Cloud AI at Google in the Agentspace product announcement. Google Agentspace “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.”
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With Agentspace, Google Cloud hopes to realize productivity advancements by enabling users to undertake highly complex tasks with a single prompt. Google Agentspace can be defined through several core capabilities, which include an enterprise upgrade for NotebookLM. NotebookLM Plus includes advanced security and privacy features so employees can safely upload data and convert it into more appealing formats, such as podcast summaries (which, by the way, if you haven’t experienced, you must).
Agentspace enables data discovery and search across all enterprise resources. The platform provides users with a central, company-branded multimodal search agent where they can access this data. This single source of truth applies across all systems and leverages Google’s best-of-breed search capabilities.
In addition to interacting with Agentspace through natural language conversations, the technology can make suggestions based on the specific, bespoke data sets used by the organization and utilize pre-built connectors for the most popular third-party apps.
Finally, you can think of Agentspace as the “launch point” for custom-built AI agents that serve specific use cases for an organization, automating tasks across the enterprise. Ultimately, with Google Agentspace, users will be able to find, access, organize, and eventually build and tune AI agents using low-code tools.
Closing Thoughts
The focus of Agentspace is to make agentic AI available to everyone in the enterprise. To that end, Google Cloud shared customer references to give a sense of how Agentspace will be utilized. One of those customers is the Finnish multinational telecoms company Nokia.
“Google Agentspace has the potential to revolutionize how our teams across Nokia find and leverage critical insights,” said Alan Triggs, Nokia’s Chief Digital Officer.
“We’re particularly excited by Google Agentspace’s ability to blend various data sources quotes and deliver personalized, contextually relevant answers,” Triggs added. “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.”
In many ways, Agentspace is the missing piece in Google’s GenAI arsenal that we’ve been waiting for. The company had expertly delivered in two critical areas: the partner’s ecosystem and dedicated foundational model architecture. Now, with Agentspace, Google can add enterprise accessibility to the mix, drawing on its other recent announcements, to present a complete agentic AI platform to rival Salesforce’s Agentforce.
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