Google just launched Gemini Enterprise, positioning it as the "new front door for AI in the workplace." The platform promises to move beyond simple AI tasks by connecting work, data, and people in one AI-powered hub where any employee can build custom agents to automate entire workflows. This marks Google's most ambitious push yet to transform enterprise productivity through AI.
Google is making its biggest workplace AI bet yet with the launch of Gemini Enterprise, a platform that Senior Director of Product Management Maryam Gholami describes as fundamentally different from the "first wave of AI" that's been "stuck in silos."
The timing couldn't be more strategic. As enterprises struggle with fragmented AI tools that can't talk to each other, Google's delivering something they're calling the "new front door for AI in the workplace" - a single platform where any employee can build custom AI agents without coding skills.
What sets Gemini Enterprise apart isn't just another chatbot. It's the connections. The platform plugs directly into the systems businesses actually use - Google Workspace, Microsoft 365, Salesforce, and SAP - giving AI agents the business context they need to deliver genuinely useful results rather than generic responses.
"Your company's most valuable information is often trapped - hidden away in different spreadsheets, applications, and chat threads," Gholami explains in Google's announcement. "Gemini Enterprise is designed to unlock that knowledge."
The real-world impact is already showing up in early deployments. Banco BV is using the platform to automate hours of work for relationship managers by giving agents context from internal analytics and business intelligence systems. The result? Managers get freed up to actually connect with customers instead of wrestling with data.
Macquarie Bank's deployment tells an even more compelling story. Their Help Centre Search now directs 38% more users toward self-service, while false positive alerts for client protection dropped by 40%. These aren't marginal improvements - they're the kind of efficiency gains that justify enterprise AI investments.
Google's betting big on the no-code approach. Instead of requiring technical teams to build every automation, marketing managers can now "kickstart a new campaign in minutes instead of days" by asking an agent to generate creative concepts. Because the agent has secure access to approved brand assets and product details, it can generate on-brand campaign ideas complete with social media copy and visual mockups.
