Amazon Web Services (AWS) Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines conversational AI platforms (CAIPs) as platforms primarily used for developing applications simulating human conversation across multiple channels and on a mix of modalities such as text, voice and visual content. CAIPs leverage a composition of AI techniques, including classic natural language processing (NLP), and generative AI (GenAI) and agentic AI architectures. To support the building of conversational applications, CAIPs principally provide low-code and no-code coding options. Application areas include AI assistants and conversational AI agents.

Conversational AI platforms are designed to address the increasing demand for organizations to efficiently build, deploy and manage AI-driven conversational systems at scale, addressing the requirements of both employee experience and customer experience use cases. While they may offer some predefined AI assistants or AI agents that can be modified, the primary focus of a CAIP is to equip organizations with tools for building customized conversational AI applications.

CAIPs typically embed specialized, dedicated and feature-rich tooling for language-specific NLP and multimodal interactions, as well as conversational flow building and analytics. By offering a unified environment that supports low-code and no-code development — and, in some cases, extends to pro-code and GenAI-assisted options — CAIPs empower technically savvy business users, including citizen developers, to create and orchestrate both customer-facing and internal AI assistants and conversational agents. Unlike AI engineering environments, which primarily serve AI engineers, software developers and data scientists, CAIPs are purpose-built for broad enterprise adoption, enabling strategic, scalable and organizationwide conversational AI initiatives.

Active

Find the top Reviews for Conversational AI Platforms with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

Conversational AI Platforms

Amazon Lex

Amazon Web Services (AWS)

Engineering Manager

Lex is highly efficient for organizations already using AWS. The platform is great at building and deploying interfaces quickly, but there is a lot of significant lambda custom coding which can be frustrating.

<50M USD

50M - 250M USD

250M - 500M USD

1B - 3B USD

30B + USD

10B - 30B USD

500M - 1B USD

3B - 10B USD

Gov't/PS/ED <5,000 Employees

Gov't/PS/ED 5,000 - 50,000 Employees

Manager, Customer Service And Support

While Amazon Lex is a great tool in the AWS environment, once out of this, it leaves a lot to be desired.

Google

Microsoft

Other...

Nuance

Kore.ai

LivePerson

Oracle

[24]7.ai

Salesforce

SoundHound AI (Amelia)

Rasa

NiCE Cognigy

Haptik

converse360

Gnani.ai

CoRover

Floatbot

Zendesk

Verint

Alibaba Cloud

Aivo

Creative Virtual

ConvergeOne (C1)

OneReach.ai

Uniphore

Yellow.ai

Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Reviews

Ratings Overview

Overall experience with

Favorable Review

Gold standard for Conversational AI within the AWS Ecosystem.

Critical Review

A good tool for AWS but a let down outside of this enviroment

Likes and dislikes about

likes

dislikes