Gemini Enterprise (formerly Agentspace): Elevate Productivity with AI Agents

Estimated reading time: 12 minutes

[Updated Nov 25] Launched to the market in 2025, Google Agentspace was the answer to fragmented enterprise systems. It combined advanced capabilities in Machine Learning and Artificial Intelligence on a platform that provided employees with AI-powered agents. However, change is the only constant, and that is especially true for tech. On October 9, 2025, Google Cloud announced that Google Agentspace had become Gemini Enterprise. If you are curious about the transition and the differences between the two suits, read through the in-depth article that covers just that. 

Want to know everything about Gemini Enterprise (formerly Agentspace)? Stay here and learn about all the features and benefits of this powerful agentic AI platform. You will also get a clear roadmap for adoption and use cases to inspire your journey with AI agents..

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The Challenge: Fragmented Search in Enterprise

89% of employees search across up to six sources for more information. Six! Think about that. No wonder everyone’s primary concern is data accessibility.

So how can you solve it? “Perhaps by throwing some AI in there?”. Although tempting, that may not be as easy as you think. Deploying knowledge discovery and assistive AI within the enterprise landscape is challenging. 

Many customers face these hurdles and concerns: 

• Data Siloing:
  • Data is scattered across multiple applications and systems.
  • Enterprise workflows are complex, involving numerous applications and roles.
• Inadequate AI Grounding:
  • Existing agents and assistants lack grounding in enterprise-specific data.
  • They often fail to focus on employee-specific workflows.
  • Vanilla AI chatbots provide generic, non-contextual answers.
• Lack of Enterprise Readiness:
  • Initial AI assistants and agents prioritised consumer use cases.
  • Enterprise readiness and compliance were not primary points of focus.
  • AI is ‘not compliant’.

These challenges lead to the following problems:

• Siloed Experiences and Governance:
  • Organisations end up with siloed search and agent experiences across applications and platforms(e.g. SharePoint, Jira, Salesforce).
  • Customers express concern over the governance, management and visibility of deployed agents.
• Increased Risks:
  • Privacy and data leakage risks.
  • Employee productivity is lost due to inefficient search processes.

The solution: AI Agents within Gemini Enterprise

What is Gemini Enterprise and how does it differ from other AI solutions? 

Google Cloud has been the pioneer of innovative AI solutions. Take a look at the timeline below. And that’s just a small fraction of all the innovations. See their full journey to responsible and safe AI in this interactive presentation.

Google’s agentic AI solutions are the culmination of 20 years of innovation, not a sudden development.

Back to Gemini Enterprise! It provides a single platform to discover, create, share, and run AI agents across the organisation. This is a true system of intelligence that moves beyond simple task acceleration to automate entire workflows, empowering every employee to transform work.

Gemini Enterprise transforms how employees access and use company information. How? By using AI agents connected to your enterprise data. This solution integrates with first-party and third-party applications such as Microsoft SharePoint, Jira, Confluence, and Salesforce, providing a unified conversational search. That’s right, Gemini Enterprise is technology agnostic. The solution is deployable in environments with little to no existing Google technologies.

Want to see it in practice? Check our Gemini Enterprise webinar with a short demo.

Benefits of Gemini Enterprise

Let’s dive deeper into how Gemini Enterprise empowers both employees and organisations as a whole.

Benefits for Employees

1. Get a unified Google Search experience across all enterprise data.

Gemini Enterprise brings Google-quality search technology to organisations. Its multimodal information discovery allows employees to find what they need at the right time by searching all their enterprise data and systems. This goes beyond simple keyword matching. Gemini Enterprise goes the extra mile by incorporating an understanding of the user’s intent and context to surface relevant information. It connects to over 80 pre-built connectors, providing a single unified Google-quality search experience across data in all these applications. 

The benefits: 

• Users can find information regardless of where it is hosted. 
• Gemini Enterprise eliminates the frustration of searching across multiple platforms.

2. Innovate with the latest tools like NotebookLM or Nano Banana.

NotebookLM is a powerful AI research and writing agent integrated within Gemini Enterprise. It allows you to consolidate various sources of information, including documents, slides, websites, videos, and audio, into a single notebook. Then you interact with this information through natural language. You can ask questions, get summaries, make study guides, generate an audio overview, anything is possible. Need an FAQ, a podcast or an explainer video? Consider it done. NotebookLM significantly accelerates research. It helps understand large volumes of information and facilitates the generation of insights. Plus, it keeps data private and secure.  Read our guide to NotebookLM for more information.

With Nano Banana, employees can generate and edit images in seconds. The tool can be used for improving image quality, creating product mockups, combining multiple images into one or making 3D models. And yes, checking how you would look in a cool ’80s haircut is also possible!

3. Use Custom and Pre-built AI Agents for your workflows.

A key feature of Gemini Enterprise is its ability to automate workflows using AI agents. Users can interact with no-code, pre-configured or custom-built agents that can take actions and streamline business processes. Examples include agents that create campaign materials like a product launch video, auto-send emails,  and update data in third-party systems. 

Gemini Enterprise provides a framework for building and deploying custom AI agents tailored to specific enterprise needs using the Agent Builder. It’s simple. You can build your agents with low-code or no-code tools. You can then connect these custom agents to enterprise systems and data sources to perform actions and streamline workflows. 

This is the single platform for all of your AI agents, including: 

• Enterprise agents built by your developers with Vertex or other platforms. 
• User-built agents constructed by your team members using the Agent Builder. 
• Pre-built agents from Google, such as the Deep Research agent or Data Insights agent. 
• Expert-built agents using Google’s Agent Development Kit (ADK). 
• Google Cloud Marketplace agents.

Use cases of Gemini Enterprise

Let’s look at some use cases for Google’s agentic AI platform for different departments (marketing, sales, HR, etc.).

• Marketing: Generate marketing content, analyse campaign performance data, create product descriptions, and summarise customer feedback.
• Sales: Quickly access insights on existing or new customers, industry trends, and competitor analysis to accelerate the sales cycle. Agents can provide summaries of target accounts and create sales collateral.
• Human Resources (HR): Automate administrative tasks like answering employee queries, processing reimbursements, scheduling meetings, and managing holiday requests (with employee consent).
• Software Teams: Automate engineering processes, analyse codebases for optimisation and identify potential vulnerabilities.

Want to learn how Gemini Enterprise can help solve the challenges in your specific industry? See the expert-written articles for Telco, FSI, Healthcare and Retail.

How Is Gemini Enterprise Built?

Gemini Enterprise is built on five pillars: 

Let’s go deeper into each of these pillars:

The Brains
Gemini Enterprise uses Google’s advanced AI models, such as Gemini, Nano Banana, and Veo. They provide multimodal assistance capable of understanding images, text, audio and videos. 

The Workbench
A powerful no-code platform to build and orchestrate agents and the landing zone with custom-built agents for business users to access.

The Taskforce
A suite of specialised, pre-built agents. These are multiple LLM agents working together to complete tasks. An example of this is the Deep Research agent. With Gemini Enterprise, you get access to 4 types of agentic agents: Google-built agents, your own agents built with ADK,third-party agentic agents, or create your own no-code agents.

The Context

Secure grounding in your company’s complete data landscape, including sources like Google Workspace, Microsoft 365, Salesforce or BigQuery.

The Governance

A single dashboard for enterprise-grade security and controls. The platform is built on the cloud to be enterprise-ready, with features for data governance, security, and privacy to protect sensitive information. Role-based access control ensures that users and agents can only interact with data they have the necessary permissions.

Gemini Enterprise Adoption Roadmap

Getting Gemini Enterprise to work well involves a clear plan with key steps. 

1. The first step is to GET READY. This means preparing your business for AI, perhaps by setting up a project team and figuring out which parts of the company will benefit most.

2. Next, you need to ASSESS & PLAN. This involves looking at how your organisation works now, understanding any challenges, and creating a plan of action. You’ll also need to identify the information sources Gemini Enterprise will connect to and get people ready to champion the change. 

3. After planning, it’s time to EXECUTE. This is where you roll out Gemini Enterprise, making sure people get the support and training they need to use it properly. 

4.Finally, the last step is to EMBED Gemini Enterprise. This means making sure it sticks! You’ll want to measure how well it’s working, share success stories, and keep providing support and updates to help everyone get the most out of it.

Devoteam is well-suited for AI adoption: our experts have done it before. As an awarded Google Cloud partner specialising in GenAI and Google Workspace, Devoteam offers the expertise necessary to maximise the value of your Gemini investment and ensure effective adoption.

How Devoteam Can Help You Navigate the Agent-Driven Future

Devoteam is a Google Cloud Gen AI Service Partner, guiding organisations across EMEA & APAC along their Agentic AI journey.  Here is how we can help:

1. Strategy

We help you build a robust and scalable AI agent strategy that can grow with your business. We’ll work closely with you to map out your long-term vision, establish clear best practices, and ensure every AI initiative directly supports your core company goals.

2. Security

Next, it is time to build a secure foundation for Gemini Enterprise right from the start. This means correctly configuring your Google Cloud Platform, fine-tuning access controls, and setting up user roles and permissions to keep your data safe.

3. Application Integration

Your essential applications need to be securely linked to Gemini Enterprise, ensuring they all work together smoothly and in a compliant way. Our team handles the technical configurations and updates, giving you a seamless workflow. 

4. Training & Adoption

To ensure a smooth transition for your whole organisation, you need change management. We turn your team into confident, capable users through practical, hands-on training, persona-led examples, and supportive ‘Ask Me Anything’ sessions. Our goal is to maximise the value of your AI investment and help foster a new culture of innovation.

5. Post-Implementation

How do you measure success? Once you’re up and running, we provide a detailed impact assessment. This report illustrates your return on investment (ROI) and gives you a clear, data-driven understanding of the productivity shift you’ve gained from deploying Gemini Enterprise.