Peter Smith
⬤ Google GOOGL is beefing up Gemini Enterprise with a new Agent Import feature that lets teams bring outside agents into their internal workflows. The move makes it easier for organizations to mix and match AI agents from different sources instead of being locked into a single ecosystem. It's part of a bigger push to make Gemini Enterprise more flexible for enterprise use cases.
⬤ Beyond agent imports, Google's working on an evaluation tool that'll help teams figure out whether their agents are actually doing what they're supposed to. There's also scheduled execution coming, which means agents can run automatically at set times instead of needing someone to kick them off manually. These additions show Google's trying to make agent management less hands-on and more automated.
⬤ New connectors are in the pipeline too, giving Gemini Enterprise more ways to link up with external systems and data sources. While the technical details aren't out yet, it's clear Google wants to expand how the platform connects with other tools. There are hints that more features are coming, but nothing specific has been announced.
⬤ The update matters because it positions Google to compete harder in the enterprise AI space right when multi-agent systems are becoming standard. By adding import capabilities, evaluation tools, scheduled execution, and better connectivity, Google's making Gemini Enterprise more practical for companies that need customizable AI deployments. It's a clear signal they're serious about grabbing market share in this space.
Peter Smith
