The next AI battlefield: Google’s Gemini Enterprise and AWS Quick Suite bring comprehensive, context-aware AI to the workplace

The difficulty of having to open a separate chat window to invite an agent could be a problem for many businesses. And AI companies see an opportunity to increasingly bring AI services on a single platformor even integrating into where employees do their work.

OpenAI‘s ChatGPT, while still a separate window, is gradually being introduce more integrations in its platform. Rivals like Google And Amazon Web Services believe they can compete with new platforms aimed directly at enterprise users who want a more streamlined AI experience. And these two new platforms represent the latest flight in the race to bring enterprise AI users into one central location for their AI needs.

Google and AWS are separately introducing new platforms designed for the full-stack agent workflow, hoping to usher in a world where users won’t need to open other windows to access agents.

Google unveiled Gemini Enterprise, a platform that Google Cloud CEO Thomas Kurian said “brings the best of Google AI to every employee.” Meanwhile, AWS announced Quick Suite, a series of services intended to exist as a browser extension for businesses to leverage agents.

Both platforms aim to enable enterprise employees to work within a single ecosystem, maintaining the necessary context in more local storage.

Quick follow-up

AWS, through Bedrock, has enabled businesses to build applications and agents, test them, and then deploy them in a single space. However, Bedrock remains a backend tool. AWS anticipates that organizations will want a better way to access these agents without leaving their workspace.

Quick Suite will be AWS’s front-end agent application for businesses. It will also be a browser extension for Chrome and Firefox and accessible on Microsoft Outlook, Word and Slack.

Swami Sivasubramanian, AWS vice president for Agentic AI, said Quick Suite is the company’s way to “enter a new era of work” in that it allows employees to access the AI ​​applications they love with privacy considerations and context to their business data.

Quick Suite connects to Adobe Analytics, SharePoint, Snowflake, Google Drive, OneDrive, Outlook, Salesforce, ServiceNow, Slack, Databricks, Amazon Redshift and Amazon S3. Through MCP servers, users can also access information from Atlassian, Asana, Box, Canva, PagerDuty, Workato or Zapier.

The platform consists of several services that users can switch to:

• An agent builder accessible via a chat assistant

• Quick Sight to analyze and visualize data

• Quick search, which can find information and write research reports. Users can choose to limit the search to internal or downloaded documents only or go online.

• Quick flows to allow users to create routine tasks via simple prompts

• Rapid automation for more complex workflows, where the model can start coordinating agents and sharing data to complete tasks

AWS said it orchestrates several core models to power Quick Suite services.

Gemini Business

Google had already begun offering enterprise AI solutions, often as fragmented products. Its latest offering, Gemini Enterprise, brings together the company’s AI offerings in one place. Products like CLI Gemini And Google Videos will be integrated and accessible through Gemini Enterprise.

“By bringing all of these components together through a single interface, Gemini Enterprise transforms the way teams work,” Kurian said in a blog post.

It is powered by Gemini models and connects to a company’s data sources. Gemini is still connected to Google’s Workspace services, such as Docs and Drive, but Gemini Enterprise can now pull information from Microsoft 365 or other platforms like Salesforce.

The idea behind Gemini Enterprise is to offer “a no-code workshop” allowing any user to surface information and orchestrate agents for automation. The platform includes pre-built agents for in-depth research and insights, but customers can also use their own or third-party agents.

Administrators can manage these agents and workflows through a visual governance framework within Gemini Enterprise.

Google said some customers have already started using Gemini Enterprise, including Macquarie Bank, legal AI provider Harvey and Banco BV.

Google told VentureBeat that other platforms, like Vertex AI, remain separate products. Gemini Enterprise pricing for both the standard and Pulse editions starts at $30 per seat per month. A new pricing tier, Gemini Business, costs $21/seat per month for one year.

Uninterrupted work in the same place

In many ways, enterprise AI was always going to move more toward this area. end-to-end full-stack environment where people access all AI tools in one place. After all, fragmented offerings and loss of context turn off many employees who already have a lot on their plate.

Removing the friction of moving windows around and potentially losing the context of what you’re working on could save people a lot more time and make the idea of ​​using an AI agent or chatbot more appealing. It was the reasoning behind OpenAI’s decision to create a desktop app for ChatGPT and why we see so many product announcements around integrations.

But now competitors must offer more differentiated platforms, otherwise they risk being labeled as copycats of products that most people already use. I felt the same way during a demo of Quick Suite, thinking it was similar to ChatGPT.

The battle to become the single full-stack platform for the enterprise has only just begun. And as more AI tools and agents become more useful to employees, there will be more and more demands to make invoking these services as easy as a single click from their favorite workspace.