Is Agentspace good for non-Google shops?

So you’re not a Google shop. Does that mean you can’t take advantage of the AI capabilities in Agentspace?

Google Cloud Agentspace is a Gemini-powered AI agent framework that brings together Gemini’s advanced reasoning and Google-quality search with enterprise data — helping users work faster and smarter. It addresses the limitations of traditional search methods by creating a single point of access to all enterprise data, regardless of where that data is stored.

Employees can effortlessly search across multiple knowledge stores and ask questions in natural language. Agentspace takes it a step further, going beyond traditional search to ‘understand’ the user’s intent to surface relevant, contextual responses.

But Agentspace is powered by Google’s search and AI. So how well does it function if you’re not a Google shop? Or if your enterprise uses multiple vendors, platforms, and clouds? These days, most IT departments don’t rely on a single vendor (which often results in siloed data and search).

If your organization doesn’t rely on Google Cloud or Google Workspace, here’s what you need to know about Agentspace for non-Google environments.

How compatible is Agentspace for non-Google shops?

The good news is that you don’t need to be a Google shop to benefit from Agentspace. As a technology-agnostic tool, it breaks down silos across various systems, even those that aren’t part of the Google ecosystem. So you use Microsoft? No problem.

Agentspace provides a unified search experience by working across Google Workspace products such as Drive, Gmail, Calendar, and Meet, and integrating with first-party connectors like Cloud Storage and BigQuery.

But it also integrates with third-party tools, including CRM systems, ERP systems, and data warehouses. Enterprise connectors are easy to set up, so you can bring search across all of your enterprise data and systems.

There are more than 80 pre-built connectors available for popular first-party and third-party applications such as SharePoint, Salesforce, Jira, Confluence, and Slack, among many others. You can even use it in IT environments with few Google tools — or none at all.

Agentspace can work as a standalone AI layer, helping companies jump into AI agents and tapping into AI capabilities without the need to migrate everything to Google. You get full AI enablement even without the full Google stack. And you get Google-powered search, without all things Google.

Even if pre-built connectors don’t exist, you have the ability to create custom connectors that extend out-of-the-box functionality and provide more advanced capabilities, especially for niche or proprietary tools.

Agentspace also supports agents built by Google Cloud partners, which offers a wider range of specialized AI capabilities. And it supports multi-agent ecosystems with Vertex AI, allowing for the development of complex AI solutions.

When it comes to security, Agentspace benefits from Google’s data security, governance, and privacy controls. With enterprise-grade security, it offers the robust data privacy and security you’d expect from AI agents that have access to all of your tools. It’s also designed to meet global requirements for compliance, such as SEC4 and HIPAA, and also offers global language support.

Getting started with Agentspace

Whether you rely on Google, Microsoft, AWS, or Oracle — or a combination of several platforms and clouds — Agentspace can help to transform enterprise search in your enterprise. But, like any new technology, there’s the potential for low adoption and, therefore, a poor return on investment.

So if you’re not sure where to start, you’re not alone — especially if your IT team doesn’t have high-level expertise in Google Cloud or Google Workspace.

With Pythian’s Agentspace Quickstart, we’ll get your enterprise up and running with Agentspace in just four weeks by identifying potential use cases and then developing and testing prioritized use cases to quickly demonstrate the value proposition of Agentspace. We can also work with your team to build custom agents for more advanced capabilities.

Pythian specializes in building bespoke AI agents tailored to your specific requirements. From defining the agent’s objectives to architecting the solution and leveraging advanced ML models with fine-tuned prompt engineering, we can handle every aspect of the development process. We can also establish a performance baseline using your existing workflows to accurately measure ROI.

Want to find out more? Contact us at info@pythian.com or download our new eBook to see how Agentspace can help your organization uncover new business opportunities — even if you’re not a Google shop.