If you are running a larger business, you’ve probably tested out agentic AI at scale from a number of vendors, including Google’s Gemini. Two important tools were just released by Google to make vendor-agnostic agentic AI deployable at scale: Gemini Enterprise and Gemini Enterprise Agent Platform. Agent Platform is where your technical people can build custom AI agents, and Gemini Enterprise is the app that feeds them out to the rest of your business.
This gives your business one, unified AI infrastructure without having to rely on cobbled-together solutions put in place by individual staff members and departments, often from various vendors. This keeps your enterprise data secure and enables your staff with the custom AI solutions they are looking for, all built in-house by your people.
Agent Platform is model-agnostic, meaning if you’re used to working with Claude, Grok, or other solutions, you can use them in Agent Platform. While Gemini will still power the overall build and can also be used as a model, you can use nearly any LLM you have grown accustomed to using to build your agents. Google Enterprise then allows you to similarly flow out all of your custom AI agents to various solutions across your workforce, including Google Workspace, Microsoft 365, and a growing ecosystem of integrating solutions.
This vastly reduces security risks and makes custom AI agents deployable across the whole organization. So if, for example, Mary has built a custom Claude workflow in marketing, she can give it to your technical team to replicate and it will now be available organization-wide.
It reduces the amount of duplicated AI workflows, ensures everything is securely deployed, and gives those who don’t have the skills to build AI workflows the benefits of those agents and workflows. It also puts the task of agent creation in the hands of your developers, where it belongs, instead of people who could be doing their usual work instead.
What Companies are Doing With Gemini Enterprise Agent Platform
The Agent Development Kit (ADK), forerunner to Enterprise Agent Platform, has been released to a few enterprise-level clients, and each has developed very interesting use cases.
- Burns & McDonnell has transformed years of project data into an AI agent that delivers real-time, actionable intelligence; activating experience to drive faster decisions
- Color Health uses ADK to power their Virtual Cancer Clinic, helping more women to get screened for breast cancer
- Comcast has rebuilt its customer service AI agent with ADK to deploy conversational intelligence rather than automated scripts, improving service quality
- Payhawk has elevated its AI agents from task doers to genuine financial assistants, remembering client preferences and reducing submission time by 50%
- PayPal is using ADK to rapidly build and deploy agents in production, providing a critical foundation for trusted payments
What Can You Do with Gemini Enterprise?
Once the agents are built, they are stored and distributed through Gemini Enterprise. Management can go into the dashboard in Enterprise and see if there’s a pre-built agent there that they can use.You can use Projects and Canvas within the app to collaborate with people and AI agents in one unified platform.
You can also adjust security controls and access in a granular way in the app, ensuring that only selected team members can access and deploy specific AI agents.
By unifying your AI agent stack with Gemini Enterprise and Gemini Enterprise Agent Platform, you reduce the use of “Shadow AI”, or isolated workflows that may be feeding company data into the wrong places. This tightens up security at your business and ensures everyone has the same access to the power of AI.
If you want a demonstration of what this tool can do for your business, contact UpCurve Cloud today. We’re already rolling this amazing innovation out to our existing clients, and would welcome the opportunity to do the same with you. As a trusted Google Partner, we are your people to call on if you ever need help, training, or anything else you may need.
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