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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.
Analytics module: Dedicated tools, including dashboards, to collect, monitor and analyze conversational interactions to get meaningful and actionable insight for reporting, oversight and improvement purposes, which is key for overall app life cycle management.
AI guardrails: Controls and mechanisms that enforce governance, security, and mitigation of AI-specific risks natively within conversational AI applications. AI guardrails address critical risks that pertain to GenAI models and/or AI-driven components such as prompt injection, data leakage, bias, hallucinations and unauthorized access. They include features like prompt injection mitigation, content moderation, identity and access management, PII/PHI protection, ethics and bias controls, hallucination reduction, and validation of RAG-generated content.
Baseline data security and privacy controls: Functionalities and tools to handle privacy, enterprise compliance and security aspects in the platform itself, as well as when building and deploying conversational AI applications and at runtime. They include features such as encryption of communications in transit and at rest, PII redaction and/or anonymization, and functionalities that provide adherence to industry standards and regulations.
Conversational flow building: Visual tools that enable the design and orchestration of conversations, combining deterministic logic with agentic AI planning and execution, which typically depends on large language model (LLM)-based components guided by instructional prompts provided during the coding phase. Flows embed logic related to specific user journeys or workflow process tasks, including the selection of tools needed to achieve goals or execute actions autonomously. Conversational flow-building tools support drag-and-drop configuration of nodes and their connections. Flows can be drafted using GenAI-assisted coding options.
Tool integration: Tooling meant to set up or personalize integration and communication with any kind of application or system required to fulfill specific actions or goals. It includes Model Context Protocol (MCP) and API-based approaches. Tool integrations can connect the conversational AI application to critical back-end systems, such as services (e.g., cloud services, AI frameworks), data sources (e.g., CRM, customer data platform) or applications (e.g., contact center as a service, martech, and analytics and business intelligence). It includes natural language query (NLQ) functionalities to interface with underlying business intelligence (BI) systems in natural language.
QA, observability and optimization tools: Functionalities meant to facilitate conversational AI apps’ quality assurance (QA) while building and when releasing new versions of the same, and tools ease maintenance and continuous optimization and enable an implementation to easily improve over time as more data is collected. QA and optimization tools include, among others, “preview” and A/B testing features, as well as advanced testing features that may be provided by specialized third parties, or other solutions in the vendor’s product suite.
Multichannel connectivity: Prebuilt and customizable integrations to a variety of different digital channels that use specific experience-rich features of different channels and operate multiple channels centrally. Channels may include messaging platforms, website chats, webhooks, telephony and smart speakers.
RAG enablement: Tooling to enable retrieval-augmented generation (RAG). CAIPs must, at minimum, provide tools suitable for implementing basic (or “naive”) RAG by retrieving relevant information from a single data source using simple keyword- or vector-based search. Retrieved content is directly supplied to the language model for response generation, without advanced reranking, multi-step retrieval or iterative refinement.
Peer Lessons Learned for Conversational AI Platforms
Published February 2026
These lessons focus on reviewers' responses to questions about their experience with products in this market, specifically: “If you could start over, what would your organization do differently?” and “What one piece of advice would you give other prospective customers?”
Kore.ai Experience Optimization Platform is a software designed to automate and manage conversational interactions across various channels within enterprises. It provides tools for building, deploying, and scaling virtual assistants and chatbots that facilitate customer and employee engagement. The platform offers features for natural language processing, dialog management, integration capabilities with enterprise systems, analytics, and workflow automation. It enables organizations to streamline processes, enhance communication, and improve operational efficiency by reducing manual intervention and supporting self-service tasks. The software addresses business challenges related to handling high volumes of inquiries, supporting multiple interaction channels, and optimizing user experiences through contextual and intelligent automation.
Cognigy.AI Platform is a software designed to enable enterprises to build, deploy, and manage conversational artificial intelligence solutions. The software provides tools for creating both voice and text-based virtual agents that integrate with existing systems and communication channels. It supports natural language understanding, automation of routine tasks, and personalized customer interactions. Cognigy.AI Platform addresses challenges related to customer service efficiency and scalability by allowing businesses to automate responses to common inquiries, streamline workflows, and enhance user engagement across different platforms. The software includes analytics and reporting capabilities that help organizations monitor performance and optimize conversational experiences.
IBM watsonx Orchestrate brings all AI agents, workflows and enterprise tools together in one secure solution. It helps orchestrate multiple AI Agents across HR, sales, procurement, customer care and many more domains, while breaking departmental siloes. It automates manual steps, connecting to 700+ enterprise systems delivering faster and more consistent outcomes. It accelerates agentic AI automation journey using prebuilt agents or custom-designed solutions through no-code or pro-code tools, all with enterprise-grade security and governance in a single orchestration platform.
IBM watsonx Orchestrate adapts to every business, not the other way around. Preferred foundation models and automation tools can be selected, enabling orchestration of multiple AI agents within a governed environment, with seamless scalability across hybrid cloud and on-premises infrastructures—without requiring system overhauls or incurring vendor lock-in.
Yellow.ai Agentic AI Platform is a software that automates customer and employee experiences across various channels through conversational artificial intelligence. It provides tools for creating and managing chatbots and voice bots capable of handling queries, resolving issues, and streamlining workflows. The software integrates with enterprise systems and supports multiple languages, facilitating seamless interactions in messaging apps, web, and voice platforms. It offers analytics, personalization, and automation features designed to improve engagement, reduce manual effort, and address business requirements for scalability and efficiency in digital communications.
AiseraGPT is a software designed to deliver conversational automation and generative AI capabilities for enterprises. The software focuses on understanding and responding to complex user queries by leveraging natural language processing and machine learning models. AiseraGPT automates customer service, IT support, and business workflows by integrating with existing enterprise platforms, enabling organizations to address routine and advanced requests efficiently. The software provides contextual responses, self-service features, and incident resolution while maintaining data security and compliance standards. Its features aim to reduce operational bottlenecks, improve service response times, and enhance user satisfaction by streamlining repetitive tasks and enabling scalable support across multiple channels.
Sprinklr Service is a customer service software designed to manage and streamline digital customer support across multiple channels including social media, messaging, chat, email, and voice. The software offers features for case management, automated workflows, agent assist tools, and omnichannel routing, enabling organizations to respond to inquiries and resolve issues more efficiently. Sprinklr Service provides unified dashboards for monitoring customer interactions and generating actionable insights, and it integrates with existing CRM and productivity systems. The software aims to improve response times, support consistency, and operational efficiency in managing high volumes of customer requests by centralizing communication and offering automation capabilities.
Omilia Cloud Platform is a software designed to facilitate conversational AI and automation for customer interactions across voice and digital channels. It offers features such as voice recognition, natural language understanding, dialog management, and speech analytics to enable human-like communication between businesses and their customers. The software integrates with core contact center systems and streamlines processes such as self-service and customer issue resolution. By automating customer queries and providing accurate responses, the software aims to improve operational efficiency and reduce wait times, supporting organizations in delivering consistent service through scalable AI-powered solutions.
Amelia is an enterprise Conversational AI platform to build intelligent virtual assistants (IVAs) that understand and respond to human language to deliver cost savings and increased revenue. The platform leverages proprietary Natural Language Processing technology and Generative AI models to deliver fluid, multi-turn conversations that feel natural.
Amelia enables organizations to deliver exceptional customer and employee experiences with IVAs. These IVAs are accessible 24/7, on any channel, in 100+ languages, and can perform a variety of functions from answering simple questions to guiding users through complex conversations and automating end-to-end business processes.
Boost.ai is a conversational AI software designed to automate customer service and internal support for organizations by deploying chatbots and virtual agents at scale. The software utilizes natural language understanding to accurately interpret and respond to a wide range of customer queries across multiple digital channels. Its features include seamless integration with existing systems, advanced dialog management, and robust analytics to track interactions and improve performance. The software addresses business challenges related to high-volume inquiries, reducing operational costs, and enhancing response consistency. Boost.ai supports customization for different industries and business processes, providing automated assistance to users while enabling organizations to optimize resource allocation.
Microsoft Copilot Studio is a software platform designed to enable organizations to create, manage, and deploy AI-powered copilots and conversational applications. The software offers tools for building custom copilots that integrate with business data and workflows through natural language interfaces. Microsoft Copilot Studio supports customization of responses, connections to enterprise systems, and deployment across channels such as web, Microsoft Teams, and other messaging platforms. The software addresses the need for efficient automation of tasks and improved virtual agent experiences by allowing users to define conversation flows, integrate third-party APIs, and monitor performance metrics, ultimately supporting streamlined business operations and increased productivity.
Genesys Cloud CX is a software that provides a platform for contact center operations and customer experience management. It offers features including omnichannel routing for voice, chat, email, and social interactions, workforce engagement tools, analytics, and automation capabilities. The software enables organizations to manage customer interactions across multiple channels within a single interface and supports integration with enterprise applications. Genesys Cloud CX addresses business needs such as streamlining customer support processes, enhancing agent productivity, and providing real-time visibility into customer engagement metrics. It is designed to help organizations optimize communication workflows and manage high volumes of customer interactions efficiently.
OneReach.ai is a software designed to facilitate the automation of conversational experiences across multiple channels, including voice, messaging, and web interfaces. It enables organizations to design, deploy, and manage complex workflows that utilize artificial intelligence, natural language processing, and machine learning to interpret user intent and respond accordingly. The software supports integration with other enterprise systems, offering the capability to streamline customer interactions, internal communications, and business processes. OneReach.ai provides tools for conversational design, analytics, and reporting, assisting businesses in reducing manual workload and improving operational efficiency by automating repetitive tasks and enhancing response consistency in customer engagement scenarios.
Talkdesk is a software focused on cloud-based contact center operations, enabling businesses to manage and optimize customer interactions across various channels including voice, chat, email, and SMS. The software offers features such as automated workflows, interactive voice response, real-time analytics, and integration capabilities with customer relationship management and workforce management systems. It supports agents in efficiently handling customer inquiries, improving resolution times, and providing consistent communication. Talkdesk software addresses business needs related to customer service operations, scalability, and flexibility, allowing organizations to adapt to evolving communication preferences and operational requirements.
CBOT Platform is a software designed to enable organizations to build, manage, and optimize conversational AI solutions such as chatbots and virtual assistants. The software offers natural language processing capabilities, allowing users to create AI-driven agents that interact with customers across multiple digital channels including web, mobile, and messaging platforms. CBOT Platform supports integration with enterprise systems and offers tools for analyzing user interactions to improve the performance and accuracy of virtual agents. It addresses business challenges related to automating customer engagement, streamlining support processes, and enhancing operational efficiency by providing a centralized environment for developing and managing conversational interfaces.
Amazon Lex is a software for building conversational interfaces using voice and text. The software leverages automatic speech recognition and natural language understanding to enable the creation of chatbots and virtual assistants that can interact with users, process requests, and provide responses. Amazon Lex integrates with other services and platforms, allowing for deployment across various applications such as contact centers, websites, and messaging channels. The software facilitates dialog management, fulfillment of user intents, and supports multiple languages. It addresses the business need for automating customer interactions, streamlining information retrieval, and enhancing user engagement through conversational experiences.
Parloa Platform is a software designed to automate and manage customer communication using artificial intelligence. It enables enterprises to build, deploy, and maintain voice and text conversational interfaces for contact centers. The software integrates with telephony systems and customer relationship management tools, allowing organizations to handle inbound and outbound interactions across multiple channels. Parloa Platform provides features such as natural language processing, conversational flow design, analytics, and integration capabilities. It aims to improve operational efficiency by reducing manual intervention in routine conversations and supporting consistent information delivery for common use cases in customer service environments.
Tars streamlines and automates customer support operations for public sector organizations and medium to large enterprises. It efficiently addresses common challenges like high call costs, long wait times, and limited representative availability. By automating routine tasks and offering 24/7 service, Tars effectively manages repetitive inquiries, leading to improved resource allocation and increased customer satisfaction. It also provides the capability to route inquiries to a live chat agent when necessary. Its advanced analytics provide valuable customer insights for informed decision-making. Tars leverages AI technology to train chatbots using your organization's knowledge base, delivering personalized experiences and fostering customer loyalty. Its WhatsApp and SMS suites enable targeted engagement and real-time support. Notably, Tars's chatbots require minimal training data, ensuring reliable service while saving time and effort.
DRUID AI Platform is conversational artificial intelligence software designed to facilitate the development and deployment of AI-driven virtual assistants and chatbots across various business processes. The software enables organizations to automate interactions through natural language processing capabilities, supporting both voice and text channels. It integrates with existing enterprise systems, allowing virtual assistants to access structured and unstructured data to deliver relevant information and complete tasks such as scheduling, ticketing, and knowledge management. The platform aims to help businesses enhance efficiency and reduce manual workloads by streamlining communication between users and backend applications within operational workflows.
Agent Assist is a software developed by Google that integrates with contact center systems to provide automated support to customer service agents. The software uses natural language processing and machine learning to analyze conversations in real time, offering relevant information, suggested responses, and guidance based on context. It aims to improve agent efficiency by reducing manual search time and providing timely recommendations, enabling faster query resolution. Agent Assist assists in handling repetitive questions, ensuring consistency in responses, and supporting agents in managing complex requests. The software is designed to address challenges in contact centers such as long handling times and inconsistencies in service quality.
Avaamo Conversational AI Platform is a software designed to facilitate automated interactions through text and voice across various communication channels. The software uses natural language processing and machine learning to enable enterprises to automate customer service, internal support, and operational tasks. It supports integration with multiple enterprise systems and allows customization to meet specific workflow requirements. The platform provides tools for dialogue management, intent recognition, and analytics to improve business efficiency by reducing manual intervention and streamlining processes. It is used to address business challenges related to scaling communication, improving response times, and enhancing user experience across customer and employee-facing applications.