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12:11 AM UTC · SUNDAY, APRIL 26, 2026 LA ERA · Chile
Apr 26, 2026 · Updated 12:11 AM UTC
Technology

Google unveils Gemini Enterprise to automate corporate workflows through agentic AI

Google introduced the Gemini Enterprise platform, designed to allow businesses to build and manage AI agents capable of executing complex, long-running tasks.

Tomás Herrera

2 min read

Google unveils Gemini Enterprise to automate corporate workflows through agentic AI
Google Gemini Enterprise AI platform

Google has unveiled its new 'agentic defense' strategy, introducing Gemini Enterprise to protect and automate corporate operations through advanced AI agents, according to expansion.mx.

The new platform allows companies to build, scale, and manage autonomous agents that can interact with internal systems. Google executive Kurian stated that the goal is for these agents to connect to registry systems, SaaS applications, and external databases to maintain real business context.

Workspace integration will see Gemini taking on more active roles. The AI will be able to retrieve emails, chats, and files to transform ideas into drafts that mimic a user's specific voice, brand, and company templates.

In Google Sheets, users can create or edit entire spreadsheets using natural language commands. Google Docs will also receive updates, including the ability to enhance documents with infographics pulled from business data and the capacity to edit multiple images simultaneously for visual consistency.

Managing autonomous workflows

To handle these new capabilities, Google is introducing features like 'Canvas Mode,' which allows for the direct creation and editing of agents within Gemini Enterprise. The company is also launching an 'Agent Inbox' to manage long-running tasks.

This inbox will track agents that perform tasks over several hours, sending notifications regarding the status and results of assigned missions. This infrastructure aims to provide governance, identity, and security to ensure sensitive information does not leak outside the organization.

Kurian described this shift as an 'agentic transformation,' where AI models move beyond simply answering questions to executing tasks on behalf of human users. He noted that this represents a fundamental change in cloud architecture.

“I think the big change for users now is that the initial versions of AI models focused on answering questions and assisting in creative tasks. Now we see that people want to delegate tasks and sequences of tasks or workflows,” Kurian concluded, as reported by expansion.mx.

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