The tl;dr for Agentspace - it takes Google's great search technology, and brings it to your organisation across all of your business apps. That, then, in theory, allows AI agents to 'understand' your organisational data, and bring that data to you through:
A conversational interface: "Hey Google, what was that meeting we had all about? Are there any relevant folloup emails"
Agents: "Can you do a deep dive on this project and give me a 3 point summary on it's progress for me every Monday morning?"
In essence, imagine if Google Search worked across your entire business – and could take action, not just deliver results. That’s the promise of Google Agentspace: a secure, AI-powered workspace that lets you search your organisation’s data and do something with the answers.
It’s a tool designed to reduce friction, cut the time spent digging for information, and help your teams focus on the work that matters.
But what exactly is it? And how do you start using it responsibly and effectively?
Let’s explore.
Why Is Knowledge So Hard to Find at Work?
Modern businesses have knowledge scattered across Confluence pages, Jira tickets, shared drives, emails, Slack threads, and more. It’s not that we lack data. We lack visibility.
And when that knowledge is hard to find:
People waste time asking around or repeating work.
Onboarding takes longer.
Mistakes happen.
Service quality drops.
That’s the real cost of disconnected systems. Agentspace addresses this by creating a secure, central place to query everything using natural language.
So What Does Agentspace Actually Do?
At its core, Agentspace combines three things:
Enterprise-grade Search: Not just keyword search, but multimodal and semantic search powered by Gemini. It understands text, images, audio, video, and more.
AI Agents: Pre-built or custom-built assistants that can find, summarise, generate, and even take action (like send an email or update a Jira ticket).
Secure Integration: Everything is access-controlled. Users only see what they’re allowed to. Agentspace honours the permissions already set in your apps.
It’s not just about finding stuff. It’s about enabling action from a single point of entry – and doing so safely and at scale.
What Does a Typical Experience Look Like?
Let’s say your team connects Agentspace to Google Drive, Jira, and Slack. Now, an employee can ask:
“What were the key issues flagged in the Q2 retrospective?”
Agentspace will:
Search across documents, Slack threads, and tickets.
Pull the relevant insights together.
Offer links and summaries.
Suggest next actions – like creating a slide deck or scheduling a follow-up.
All of this happens inside a unified, conversational interface that looks and feels like other LLM tools (like Gemini), but is tailored to your environment and data.
Can It Take Action or Just Talk?
Agentspace isn’t just another chatbot. It can:
Draft and send emails.
Create calendar events.
Update project tickets.
Trigger workflows across systems like Salesforce, Jira, or Workday.
Execute commands through no-code or full-code agents.
If you’ve ever wanted a tool that goes beyond information retrieval into decision support and task execution, this is it. If you're dev-savvy, you can create your own actions using the Agent Development Kit.
How Do Custom Agents Work?
Google provides a few ways to build agents:
Pre-built: Tools like “Research Assistant” or “Idea Generator” come ready to use.
No-code Agent Designer: Anyone can build an agent by describing what it should do and selecting data sources. Templates help non-technical teams get started.
Full-code agents: Built using the Agent Development Kit (ADK), these offer deep customisation for engineering teams.
Agents can be deployed across your org, accessed from the Chrome browser, and governed centrally through the Agent Gallery.
What Makes Agentspace Enterprise-Ready?
Google has designed Agentspace to meet real enterprise needs:
Secure-by-design: IAM roles, VPC service controls, and private deployment.
Data residency: You decide where your data lives.
Identity integration: It works with your current identity provider and respects existing ACLs.
Continuous improvement: Built-in analytics show what people are searching for and where results fall short.
It’s not a beta tool for hobbyists – it’s a production-ready platform used by teams at Wells Fargo, KPMG, and Banco BV.
What Are the Real-World Use Cases?
Agentspace is already being used across multiple departments:
Marketing & Sales
Enhance marketing efforts by generating campaign content and analyzing customer feedback to identify messaging gaps. For sales teams, accelerate the cycle by building personalized decks, pulling actionable insights from the CRM, and drafting targeted emails to prospects.
Human Resources
Streamline HR operations by automating responses to frequently asked questions, guiding new hires through the onboarding process, and providing employees with instant access to company policy documents.
IT, Engineering, Finance & Legal
Boost IT and Engineering productivity by accelerating incident response, surfacing past solutions to known issues, and summarizing technical documentation. For Finance and Legal, strengthen compliance by automating checks, reviewing contracts, and monitoring regulatory changes.
Wherever information sits in silos, Agentspace helps join the dots.
What’s It Like Using Agentspace at Cobry?
We’ve connected Agentspace to our own Asana, Notion, and Cloud Storage environments. Now, when engineers ask:
“How do I request a new Google Cloud resource?”
They don’t get a manual. They get a real-time answer, based on how we actually work – with links to the right artefacts and even the ability to schedule follow-ups.
It’s not just faster. It’s smarter. And it’s reducing friction in everyday work.
How Much Does Google Agentspace Cost?
Pricing is simple and scales with your needs:
Tier | Price | Key Features | Best For |
NotebookLM for Enterprise | $9/user/month | Secure document synthesis, audio summaries, IAM support | Research teams |
Agentspace Enterprise | $25/user/month | Full enterprise search, AI actions, multimodal support | Knowledge workers in early AI adoption |
Agentspace Enterprise Plus | $45/user/month (50+ users) | Everything in Enterprise + full code agents, 75GB storage, media generation | Advanced AI deployments |
Agentspace Frontline | $9/user/month (150+ Enterprise users required) | Basic search and action support | Frontline staff |
Notes:
All tiers are available on monthly or annual terms.
Overages apply for media generation and data indexing.
Full-code agents may incur extra runtime charges.
Where Should You Start?
Like all powerful tools, the hardest part is often knowing where to begin.
At Cobry, we recommend starting with:
A defined use case: e.g. onboarding, marketing campaign generation, service ticketing.
A limited data set: connect a few systems first – Drive, Jira, Confluence.
Governance in mind: who’s responsible for testing, feedback, improvement?
The earlier you explore agentic AI, the more confidently you can shape how it works for your team.
And Google Agentspace is one of the most enterprise-ready, scalable options on the market today.
If you'd like to explore how to get started with Agentspace, or need help thinking through the responsible design of agents, Cobry can support you through strategy, design, and delivery. Just get in touch.
