Gartner defines contact center as a service (CCaaS) as solutions offering SaaS-based applications that enable customer service departments to manage multichannel customer interactions holistically from both a customer-experience and employee-experience perspective. CCaaS is a key technology platform used to support the customer service experience, whether it be self-service or assisted by customer service representatives. All organizations need to offer customer assistance. The preference is for remote support via voice and digital channels over physical presence in offices and stores, though it is common for organizations to offer multiple options. The ambition is for customers to self-serve assistance, through web portals or chatbots. But it is also recognized that complex issues still need the support of employees. CCaaS technology is instrumental in orchestrating both self- and assisted-service engagement with customers. The technology can also manage the quality of engagement between the customer and the customer service representative, recognizing that premium customer experiences are achieved through premium employee experiences.
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.
Conversational marketing is a customer-centric approach that leverages real-time, personalized interactions between companies and customers and mimics human dialogue for the vendor at scale. These technologies employ AI chatbots and automation to design session-based, cross-channel exchanges in the form of natural language dialogue, using a blend of text and audio. Unlike traditional marketing methods that often rely on one-way communication, conversational marketing employs session-based two-way dialogues which foster meaningful relationships and enhance the customer journey and experience. Conversations occur across various channels — primarily live chat, SMS, email and voice. Integrations across the revenue tech stack facilitate personalized interactions. Conversational marketing strategy is used by digital marketers as well as sales and customer service teams to improve engagement, increase conversion and increase seller capacity.
The social customer service market comprises applications that support social media as a component of an overall customer service strategy. Gartner classifies an application provider as a social customer service vendor if it supports customer service in one or two specific types of function: External communities: Often referred to as peer-to-peer communities, this software enables customers and partners to blog, post, rate products/services and construct ideas, as well as support peer interactions and offer incentives for loyalty. Social media engagement: Going beyond just monitoring social media for brand mentions, these applications are capable of responding to constituents on popular social networks and have case management. (Retired as of Jul-02-2026).