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Google Cloud has unveiled Gemini Enterprise, a new AI platform designed on helping businesses using AI intelligence into their workflows. According to Reuters, the service lets employees converse with internal data, documents, and systems through smart agents powered by Google’s latest AI models.
A Unified Platform, Not Just Another Add-On
Unlike past AI add-ons such as Co-Pilot, Gemini Enterprise is a full-fledged platform built under Google Cloud, not merely an extension of Co-Pilot. As TechCrunch reports, it includes a no-code workbench so non-technical people from marketing to operations—can design agents and automate tasks without writing code. Meanwhile, more technical users still have access to development tools, APIs, and deeper control for advance use case.
Connecting to Enterprise Data with Security
Gemini Enterprise is designed to integrate securely with business systems like Google Workspace, Microsoft 365, Salesforce, and SAP. That means agents can act with context, drawing on relevant documents and data without violating access controls. A central governance and auditing layer allows organizations to monitor agent actions and set permissions to mitigate risks.
Early Adoption & Use Cases
Google has already revealed early customers, including Figma, Gap, Klarna, Macquarie Bank, Virgin Voyages, and others. One case: a marketing agent that helps design campaigns from scratch by combining strategy, assets, and data — all through conversational prompts. Another: transformation of meeting or document content into video using Google Vids, complete with AI-generated voiceovers.
Pricing & Market Positioning
Google says that Gemini Enterprise will start at around $30 per seat per month for standard tiers, while a more affordable Business plan is priced near $21 per seat. Bloomberg also notes the pricing aligns Google’s offering against Microsoft, OpenAI, and Anthropic in the enterprise AI push.
Strategic Challenges & What to Watch
Although Gemini Enterprise comes with powerful features, its success depends on trust, reliability, and real-world performance. Google needs to ensure agents produce accurate, reliable outputs, especially when working with sensitive corporate data. There’s also stiff competition such as Microsoft, OpenAI, and AI startups are aggressively targeting the AI enterprise market.
