As enterprises explore the next generation of productivity and automation, Google AgentSpace emerges as a transformative platform – offering secure, scalable, and role-based AI copilots tailored to every business need.

But with multiple agent types and integration options, understanding how AgentSpace is structured is key to unlocking its full potential.

In this blog, we break down the AgentSpace architecture using the model from Google Cloud, and explain how each agent type – Default, Conversational, and ADK—fits into your enterprise AI strategy.

What is AgentSpace?

Google AgentSpace is a secure AI workspace that enables organizations to deploy intelligent agents – powered by Google’s large language models and integrated with enterprise systems – without compromising on governance, flexibility, or speed.

These agents are accessible through the AgentSpace UX, which sits between your business users and the underlying technology, enabling seamless, real-time interaction with data, documents, and applications.

The Business User Experience

At the center of AgentSpace is the Business User, who interacts with AI agents through a user-friendly, role-based interface known as the AgentSpace UX. This layer connects the user to three types of agents, each designed with different levels of complexity, flexibility, and integration.

1. AgentSpace Default Agent

Best for: Fast Startups, Simple Search, Minimal Setup

The Default Agent is native to AgentSpace and requires no custom setup. It’s ideal for organizations looking to quickly enable intelligent search across data sources.

Key Capabilities:

• • Search Datastores: Plug-and-play search capabilities
  • Default Actions: Basic built-in functions
  • No Code or Integration Required

Limitations:

• Less flexibility on data freshness, custom actions, business logic, and authentication
• Cannot be deeply tailored for workflows

Use Case Example: A support rep searching knowledge base documents or FAQs using the native AgentSpace search.

2. Conversational Agents (Playbooks)

Best for: Departmental AI Agents with Business Rules

These agents are no-code, but highly flexible – developed as part of the customer’s project. They are built using playbooks, combining integrations, connectors, and Vertex Extensions to provide dynamic, intelligent responses in real time.

Key Capabilities:

• Real-Time AI Assistance
• Custom Authentication
• Built-in Business Rules
• Connected via APIs and Vertex AI Extensions

Flexibility:

• Custom logic
• Real-time actions across systems
• Seamless API access

Use Case Example: An HR AI assistant that helps employees navigate onboarding, benefits, and internal policies – while syncing with Workday, Google Drive, and Slack.

3. ADK Agents

Best for: Fully Custom, Scalable AI Ecosystems

ADK (Agent Development Kit) Agents are the most powerful and customizable type in the AgentSpace architecture. Like Conversational Agents, these are no-code from the user’s perspective—but support deep integrations and complex logic.

Key Capabilities:

• Full Real-Time Flexibility
• Integration with API Hub and RAG/A2A Workflows
• Custom Authentication and Data Controls
• Ideal for cross-departmental or enterprise-wide use cases

Tech Stack Examples:

• API Hub
• Retrieval-Augmented Generation (RAG)
• Machine-to-Machine (A2A) integrations
• Multi-Cloud Pipelines (MCP)

Use Case Example: A financial analyst copilot that pulls real-time market insights, internal financial models, and regulatory updates—then generates custom risk summaries and presentation-ready insights.

Why This Matters for Enterprises

The beauty of AgentSpace lies in its modular approach. Organizations can start small with default agents, then scale to Conversational and ADK agents based on their use cases and maturity.

Whether you’re:

• Enabling self-service for employees
• Powering customer support
• Driving executive decision-making with AI copilots
  AgentSpace lets you build the right experience—securely, flexibly, and fast.

How SID Global Solutions Can Help

As an experienced Google Cloud and AgentSpace partner, SID Global Solutions offers:

• Use case discovery workshops
• Agent build-out and deployment
• Enterprise-grade integration (CRM, ERP, HRIS, etc.)
• Security configuration (RBAC, CMEK, data residency)
• Post-launch support and adoption acceleration

Ready to Explore AgentSpace for Your Team?

Whether you’re just starting with AI or scaling intelligent copilots across departments, we’re here to help.

• Book a live demo of AgentSpace in action
• Start a 4-week pilot with your data and workflows
• Talk to our AI & integration specialists