The friction of having to open a separate chat window to prompt an agent could be a hassle for many enterprises. And AI companies are seeing an opportunity to bring more and more AI services into one platform, even integrating into where employees do their work.
OpenAI’s ChatGPT, although still a separate window, is gradually introducing more integrations into its platform. Rivals like Google and Amazon Web Services believe they can compete with new platforms directly aiming at enterprise users who want a more streamlined AI experience. And these two new platforms are the latest volley in the race to bring enterprise AI users into one central place for their AI needs.
Google and AWS are separately introducing new platforms designed for full-stack agent workflow, hoping to usher in a world where users don’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 enterprises to call on agents.
Both these platforms aim to keep enterprise employees working within one ecosystem, keeping the needed context in more local storage.
Quick Suite
AWS, through Bedrock, allowed enterprises to build applications and agents, test them, and then deploy them in a single space. However, Bedrock remains a backend tool. AWS is banking that organizations will want a better way to access those agents without leaving their workspace.
Quick Suite will be AWS’s front-facing agentic application for enterprises. It will also be a browser extension for Chrome and Firefox and accessible on 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 from their enterprise data.
Quick Suite connects with 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 users can toggle to:
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An agent builder accessible through a chat assistant
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Quick Sight to analyze and visualize data
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Quick Research, which can find information and build out research reports. Users can choose to limit the search to internal or uploaded documents only or to access the internet
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Quick Flows to allow people to build routine tasks through simple prompts
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Quick Automate for more complicated workflows, where the model can begin coordinating agents and data sharing to complete tasks
AWS said it orchestrates through several foundation models to power Quick Suite’s services.
Gemini Enterprise
Google had already begun offering enterprise AI solutions, often in fragmented products. Its newest offering, Gemini Enterprise, brings together the company’s AI offerings in a single place. Products like Gemini CLI and Google Vids will be integrated and accessible through Gemini Enterprise.
“By bringing all of these components together through a single interface, Gemini Enterprise transforms how teams work,” Kurian said in a blog post.
It is powered by Gemini models and connects to an enterprise’s data sources. Gemini always connected to Google’s Workspace services, such as Docs and Drive, but Gemini Enterprise can now grab information from Microsoft 365 or other platforms like Salesforce.
The idea behind Gemini Enterprise is to offer “a no-code workbench” for any user to surface information and orchestrate agents for automation. The platform includes pre-built agents for deep 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 begun 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. Pricing for Gemini Enterprise, both the standard and pulse editions, start at $30 per seat per month. A new pricing tier, Gemini Business, costs $21/seat per month for a year.
Uninterrupted work in one place
In many ways, enterprise AI was always going to move to this more full-stack, end-to-end environment where people access all AI tools in one place. After all, fragmented offerings and lost context turn off many employees who already have a lot on their plates.
Removing the friction of moving windows and possibly losing context to 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. This 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 have to offer more differentiated platforms or they risk being labeled as copycats of products most people already use. I felt the same during a Quick Suite demo, thinking it felt like ChatGPT.
The battle to be the one full-stack platform for the enterprise is just beginning. And as more AI tools and agents become more useful for employees, there will be more demand to make calling up these services as simple as a tap from their preferred workspace.
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