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.
Gartner defines robotic process automation (RPA) as software that automates tasks within business and IT processes using software scripts that emulate human interaction with the application UI. RPA enables a manual task to be recorded or programmed into a software script, which users can develop through programming or by using the RPA platform’s low-code and no-code GUIs. This script can then be deployed and executed into different runtimes. The runtime executable of the deployed script is referred to as a bot or robot.
Gartner defines the service orchestration and automation platform (SOAP) market as encompassing solutions that empower organizations to manage and automate their entire technology stack, including workloads, workflows, resource provisioning and data pipelines. SOAPs empower infrastructure and operations (I&O) leaders to streamline and accelerate the delivery of business services. These platforms integrate workflow orchestration, workload automation and resource provisioning across an organization’s hybrid IT landscape. By automating and optimizing these processes, SOAPs enable organizations to rapidly deploy workloads, enhance operational efficiency and achieve significant cost savings while ensuring high availability and business continuity. SOAPs enhance traditional workload automation by supporting use cases in data pipelines, cloud-native infrastructures and application architectures. They complement and integrate with DevOps toolchains, enabling organizations to achieve customer-centric agility, reduce costs, improve operational efficiency and establish standardized processes across their entire IT landscape.