The Future of Data Access: Google AgentSpace and Expanding Third-Party Connections
- SquareShift Content Team
- Jul 4
- 5 min read
Updated: 4 days ago

In our previous blog, we explored how Google AgentSpace unifies data storage and retrieval across native and Workspace sources. We discussed how this AI-powered data access solution enables intelligent data search, automates workflows, and simplifies governance. From HR onboarding to IT incident triage, AgentSpace streamlines cross-platform operations with minimal overhead, becoming a true enterprise productivity tool. Now, let’s dive deeper into expanding third-party connections and see how it builds on these capabilities for unified data access.
Third-Party Connectors: Bringing Everything Together
One of the standout features of Google AgentSpace is its ability to connect external data sources with Google Workspace tools, building a powerful data integration platform. Whether your team uses Jira for issue tracking or SharePoint for document storage, you can centralize all of that data in AgentSpace, empowering enterprise data search without silos.
Supported Tools for Seamless Integration
Here’s a quick look at the platforms AgentSpace currently supports for third-party connectors:
Jira
SharePoint
Salesforce
ServiceNow
Confluence
Many more on the roadmap
The beauty of these low-code data connectors is that you don’t need to write complex code or build ETL pipelines. The AgentSpace console provides an intuitive way to connect these systems, and once linked, it handles syncing and organizing your data automatically.


Easy Setup and Smart Data Sync
Connecting to third-party apps in Google AgentSpace is refreshingly straightforward. The comprehensive documentation and guided UI make onboarding seamless, even for non-technical users. Once authenticated, AgentSpace begins syncing enterprise data automatically, organizing it using Vertex AI embeddings for intelligent data search.
Key highlights of this process include:
Regular synchronization to keep data fresh
Schema mapping is handled behind the scenes with minimal manual effort
Respect for each source system’s access control lists (ACLs) to ensure secure data access
You don’t need to wrangle data or worry about outdated records—AgentSpace keeps your data current, clean, and searchable, maximizing the power of AI-powered data access.
Data Access Challenges in AI Applications
One of the greatest obstacles in AI data access challenges is maintaining secure permissions once data is ingested and embedded. Without robust access control, you risk either starving your AI model of valuable insights or violating data privacy.
The Two Flawed Options Before AgentSpace
Limit data ingestion to universally accessible content only this dramatically reduces your assistant’s ability to generate insights and ground responses accurately.
Custom-built data access logic to sync permissions from every source system. This becomes an enormous technical burden, especially when integrating multiple systems with unique ACLs.
Sound familiar? It’s the nightmare many face when trying to sync permissions in AI apps.
How AgentSpace Handles ACLs Natively
This is where Google AgentSpace shines. By preserving the original ACLs of source systems, AgentSpace ensures AI-powered data access only returns information the authenticated user is authorized to see. The indexed Vertex AI embeddings respect these permissions, unlocking richer insights without compromising security.

Benefits of AgentSpace’s ACL approach:
Wider scope of ingested data without additional risk
Unified data access across systems
Minimal overhead for security maintenance
Confidence that your enterprise data search complies with your organization’s access policies
Example: You connect Jira and SharePoint to AgentSpace. Even if both have different user permission structures, AgentSpace ensures each user only sees data they could access natively in Jira or SharePoint. This is a game-changer for workflow automation with AgentSpace.
Tailoring Your Connectors for Precise Data Ingestion
Many third-party connectors allow fine-grained control over which data you ingest. For instance, Jira integration with AgentSpace can limit ingestion to specific projects or entities like issues and comments, while excluding attachments or worklogs. This targeted approach optimizes storage, speeds up indexing, and aligns with your organization’s data governance needs.
Synchronization Options for Every Use Case
AgentSpace connectors support flexible synchronization options:
One-time synchronization for static datasets
Periodic synchronization to keep data updated automatically
Manual syncs on demand for urgent updates
Additionally, connectors include health status monitoring within the console, which quickly alerts administrators to any issues in the previous sync cycle, ensuring unified data access remains reliable.
Building Custom Connectors: Flexibility for Unique Needs
Even with a growing library of connectors, you might encounter systems not yet supported by Google AgentSpace. In such cases, you can build custom connectors using the target application’s API, enabling ingestion of virtually any data source into your data integration platform.
However, before embarking on custom development, it’s worth checking with Google or your Google partner to see if a connector is already in development. Often, early-stage connectors are available via private preview, saving you time and letting you influence Google’s development priorities.
Google AgentSpace Actions: Interact Directly with Connected Systems
While connectors unify your data, AgentSpace Actions enable you to interact with connected applications, right from the AgentSpace chat interface

.
Automate Jira Tasks and More
For example, with Jira integration with AgentSpace, you can create, update, or close Jira tickets directly by issuing a natural language prompt. Here’s how it works:
User prompt: “I want to create a Jira story titled ‘Enable real-time Jira sync in AgentSpace’, with the description ‘Implement periodic synchronization for enhanced data freshness’.”
AgentSpace extracts details, populates a Jira card, and shows you a draft.
User reviews or amends the draft directly in chat or via follow-up prompts.
Once approved, AgentSpace creates the Jira story and returns a direct link.
This same mechanism supports other apps, like sending curated emails, scheduling calendar events, or raising requests in Workday, paving the way for workflow automation with AgentSpace.

Real-World Applications of Google AgentSpace Connectors and Actions
Wondering how you might apply this in your organization? Consider these examples:
IT Operations: Automatically escalate incidents logged in ServiceNow by creating Jira stories, all within AgentSpace’s chat.
HR Onboarding: Connect HR data from Workday and SharePoint, enabling faster, more accurate responses to new hire queries.
Finance: Aggregate data from Salesforce and internal ERP systems for comprehensive, secure financial reporting.
Marketing: Sync campaign documents from SharePoint while maintaining individual permissions, giving distributed teams unified, real-time access to campaign materials.
In each scenario, Google AgentSpace doesn’t just centralize data; it empowers users to take action, accelerating processes and unlocking true enterprise productivity tools.
Key Takeaways for Maximizing Google AgentSpace
Connect everything: Integrate Google Workspace with your external data sources using prebuilt or custom connectors.
Respect permissions: Maintain secure, precise access with native access control lists (ACLs) support.
Empower users: Use AgentSpace Actions to streamline workflows by automating tasks across connected systems.
Stay ahead: Leverage AI-powered data access and intelligent data search to make every conversation more insightful.
Wrapping Up
Google AgentSpace is redefining how organizations access and act on their data. By combining intelligent data integration platforms, powerful third-party connectors, and interactive Actions—all while honoring source permissions it creates a seamless, secure, and scalable solution for modern enterprises.
No more scattered systems. No more jumping between apps. Just one intuitive interface unifying your data ecosystem and enabling workflow automation with AgentSpace.
And this is just the beginning. In our next post, we’ll explore AgentSpace Agents and how they enable advanced, intelligent orchestration across your business.
Stay tuned!
コメント