The friction of having to open a separate chat window to notify an agent can be a hassle for many companies. And AI companies are seeing an opportunity to bring more and more AI services in one platformeven integrating into the place where employees carry out their work.
OpenAIChatGPT’s, although still a separate window, is gradually introducing more integrations on your platform. Rivals like Google 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 foray in the race to bring enterprise AI users to one central place to meet 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 companies to call agents.
Both platforms aim to keep company employees working within an ecosystem, maintaining necessary context in more local storage.
Quick Suite
AWS, through Bedrock, has enabled companies to build applications and agents, test them, and then deploy them in a single space. However, Bedrock remains a backend tool. AWS is betting that organizations want a better way to access these agents without leaving their workspace.
Quick Suite will be AWS’s front-end agent application for enterprises. It will also be a browser extension for Chrome and Firefox and accessible in Microsoft Outlook, Word and Slack.
AWS Vice President of Agentic AI Swami Sivasubramanian said the Quick Suite is the company’s way to “enter a new era of work” as it gives employees access to the AI applications they love, with considerations for privacy and context of their corporate 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 that users can switch to:
- A builder agent accessible through a chat assistant
- Quick Sight to analyze and visualize data
- Quick Search, which can find information and create search reports. Users can choose to limit the search to only internal or uploaded documents or to access the internet
- Quick flows to let people create routine tasks through simple instructions
- Quick Automate for more complicated workflows, where the model can begin coordinating agents and sharing data to complete tasks
AWS said it orchestrates several core models to power Quick Suite services.
Gemini Company
Google had already begun offering enterprise AI solutions, often in piecemeal products. Its newest 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 has always connected to Google 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 offer “a no-code workbench” for any user to extract information and orchestrate agents for automation. The platform includes pre-built agents for deep research and insights, but customers can also bring their own agents or third-party agents.
Administrators can manage these agents and workflows through a visual governance framework in Gemini Enterprise.
Google said some customers have already started using Gemini Enterprise, including Macquarie Bank, legal AI provider Harvey and BV Bank.
Google told VentureBeat that other platforms, like Vertex AI, remain separate products. Pricing for Gemini Enterprise, both the standard and pulse edition, starts 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 towards this more end-to-end full-stack environment where people access all AI tools in one place. After all, fragmented offerings and lost context discourage many employees who already have a lot on their plate.
Removing the friction of moving windows and possibly losing context of 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 see so many product announcements related to integrations.
But now, competitors have to offer more differentiated platforms or risk being labeled as copycats of products that most people already use. I felt the same way during a Quick Suite demo, thinking it looked like ChatGPT.
The battle to be the only full-stack platform for enterprises is just beginning. And as more AI tools and agents become more useful to employees, there will be more demand for calling these services to be as simple as a tap on your preferred workspace.
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