The next AI battleground: Google’s Gemini Enterprise and AWS’s Quick Suite bring full-stack, in-context AI to the workplace
The friction associated with opening a separate chat window to request an agent can be a hassle for many businesses. And AI companies see an opportunity to bring more and more AI services in one platformand even integrated into the place where employees do their work.
Open AI‘s ChatGPT, while still a separate window, is gradually becoming introduce more integrations in its platform. Rivals love Googling And Amazon Web Services believe they can compete with new platforms aimed squarely at business users who want a more streamlined AI experience. And these two new platforms are the latest step in the race to bring business AI users into one central place for their AI needs.
Google and AWS are separately introducing new platforms designed for a full-stack agent workflow, hoping to usher in a world where users don’t have to open other windows to access agents.
Google has unveiled Gemini Enterprise, a platform that Google Cloud CEO Thomas Kurian said “brings the best of Google AI to every employee.” Meanwhile, AWS has announced Quick Suite, a suite of services intended as a browser extension that allows companies to rely on agents.
Both platforms aim to allow employees to work within a single ecosystem, keeping the necessary context in more local storage.
Fast suite
Through Bedrock, AWS enabled companies to build, test, and then deploy applications and agents in one space. However, Bedrock remains a backend tool. AWS expects that organizations will want a better way to access these agents without leaving their workspace.
Quick Suite will be AWS’s front-facing agent application for enterprises. It will also be a browser extension for Chrome and Firefox and accessible via Microsoft Outlook, Word and Slack.
AWS vice president for Agentic AI Swami Sivasubramanian said Quick Suite is the company’s way of “entering a new era of work,” in that it gives employees access to AI applications they like, with privacy considerations and context of 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:
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An agent builder that can be accessed via a chat assistant
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Quick Sight to analyze and visualize data
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Quick Research, which allows you to find information and create research reports. Users can choose to limit the search to internal or uploaded documents or access the Internet
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Quick flows that let people put together routine tasks through simple prompts
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Quickly automate for more complicated workflows, where the model can start coordinating agents and sharing data to complete tasks
AWS said it is orchestrating several base models to support Quick Suite’s services.
Gemini venture
Google had already started offering enterprise AI solutions, often in fragmented products. Its latest offering, Gemini Enterprise, brings together the company’s AI offerings in one place. Products such as Twin CLI And Google Videos will be integrated and accessible through Gemini Enterprise.
“By bringing all these components together through a single interface, Gemini Enterprise transforms the way teams work,” said Kurian a blog post.
It is powered by Gemini models and connects to an enterprise’s data sources. Gemini has always been connected to Google’s Workspace services like 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 provide each user with “a no-code workbench” to retrieve information and orchestrate agents for automation. The platform includes pre-built agents for in-depth research and insights, but customers can also bring in 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, such as Vertex AI, will remain separate products. Pricing for Gemini Enterprise, both standard and pulse editions, starts at $30 per seat per month. A new pricing tier, Gemini Business, costs $21 per seat per month for one year.
Uninterrupted work in one place
In many ways, enterprise AI was always going to move more towards this full-stack, end-to-end environment where people can access all AI tools in one place. After all, the fragmented offering and the lost context deter many employees who already have a lot on their plate.
Removing the friction of moving windows and potential loss of context for what you’re working on can save people a lot more time and make the idea of using an AI agent or chatbot more appealing. This was the reasoning behind OpenAI’s decision to create a desktop app for ChatGPT and why we’re seeing so many product announcements around integrations.
But now competitors must offer more differentiated platforms or risk being labeled as copycats of products most people already use. I felt the same way during a Quick Suite demo, thinking it felt like ChatGPT.
The battle to be the only full-stack platform for the enterprise is just beginning. And as more AI tools and agents become more useful to employees, there will be more demand to make invoking these services as simple as a tap from their preferred workplace.
