Tech • IA • Crypto
Develop and integrate AI agents with Google Workspace
TL;DR
Artificial intelligence is evolving from passive assistance to end-to-end automation, with Google Workspace emerging as a central hub for enterprise-grade AI agents.
Key Points
Shift to agent-driven automation
AI is no longer limited to chat-based assistance and is increasingly deployed to manage full workflows across complex business environments. These “agentic” systems can execute multi-step processes, reducing manual intervention and enabling continuous operations across departments.
Workspace as an AI integration hub
Google Workspace has become a core platform for integrating AI into daily operations. Its tools for communication, collaboration, and organization are now deeply augmented with AI, positioning the platform as a central interface for both users and automated systems.
Critical infrastructure for AI deployment
Effective enterprise AI requires access to contextual data and tools through APIs, alongside mechanisms for orchestration such as agent platforms. Workspace supports these needs with integrations, UI extensions for human oversight, and administrative controls for governance and security at scale.
Multi-layer integration of Google’s AI stack
Google’s AI technologies, including Gemini models and enterprise agent platforms, are embedded across multiple layers of Workspace. This enables a wide range of stakeholders—from individual users to developers and administrators—to build and deploy AI-powered solutions.
Enterprise adoption at scale
Large organizations are already implementing these capabilities. Companies with thousands of Workspace and Gemini Enterprise users have deployed multiple AI agents in production within months, targeting functions such as sales, human resources, and procurement.
Ecosystem expansion through service providers
Firms like LumApps are building advanced AI platforms on top of Google’s ecosystem. Their solutions combine Gemini Enterprise, BigQuery, and Workspace connectors to create centralized “agent hubs” that coordinate multiple AI-driven processes.
Growing emphasis on practical implementation
Step-by-step resources and development guides are accelerating adoption, enabling organizations to integrate AI agents into existing workflows more quickly. This reflects a broader shift from experimentation to operational deployment of AI across enterprises.
Full transcript
Today, AI is not only used to Assist users with individual tasks in passive chatbots, but also to lead end to end automations in complex environments such as your workplace. Hi, everyone, I'm pierrick from Google Workspace applications people use to collaborate, connect, organize, and so on became increasingly AI assisted in the past few years. And that's awesome. But Workspace also became a crucial hub for anyone who's taking agentic transformation seriously. You need APIs, MCH, and skills to access contextual data and tools. You need UI extensions to meet the users where they are and to enable human in the loop steps. And you need admin features to govern and control in security and at scale. That's why Google's AI tech stack is so deeply integrated with Workspace at many layers. It enables everyone with solutions whether you are a user, a builder, a developer, a service provider or an admin. Prime example of that is how does it add individual, team, organization and enterprise levels. They have thousands of Workspace and Gemini enterprise users, and they deployed several agents in production in a few months for their sales, HR and procurement departments. Another prime example is how lumapps, a service provider, built a sophisticated AI platform that includes an agent hub. They make extensive use of Gemini Enterprise Agent platform, BigQuery, Gemini models, and Workspace connectors. All right. If you want to learn more on this, I highly recommend these two codelabs. They include step by step instructions on how to integrate Workspace with Gemini enterprise and its agent platform. Feel free to connect online if you have any questions. Bye everyone.