Conversational AI Agents

A conversational AI agent is software that understands natural language, reasons about what a customer is trying to accomplish, and completes tasks across voice and digital channels without human involvement. Unlike virtual agents that only answer questions, conversational AI agents and intelligent virtual assistants (IVAs) are built to take action — delivering not just containment but complete, end-to-end customer resolution.

A chatbot typically responds to prompts using scripted logic and predefined flows. Meanwhile, a conversational AI agent interprets intent, holds context across a conversation, and acts autonomously to resolve the request. In short: chatbots answer, agents resolve.

Conversational AI agents capture input via speech or text recognition, detect customer intent using natural language understanding, retrieve context from connected systems, generate a response grounded in approved knowledge, execute any required actions, then resolve or escalate with full context intact.

Leading customer service operations deploy Verint Conversational AI Agents to resolve myriad requests across voice and digital channels — authenticating customers, processing payments, updating accounts, and managing multi-step requests, all without waiting on a human. Pre-built, specially trained conversational AI agents come trained on hundreds of industry use cases, spanning healthcare, travel, financial services, retail, and public sector, so deployment starts from proven workflows rather than scratch. Customers get immediate resolution in their own language, and when a person is genuinely needed, the agent escalates with full context.

Yes. Verint Conversational AI Agents can operate across IVR, telephony, web chat, mobile app, and messaging channels, resolving issues within channel, maintaining context as customers move between them, and transferring to human agents when required.

Conversational AI agents seamlessly deploy alongside existing CX ecosystems, augmenting your chosen CCaaS, telephony, CRM, and knowledge solutions with no need to replace them.

Deployment timelines vary depending on the complexity of your use case, channels, and integrations. However, many organizations start with a focused use case and launch their first conversational AI experience in as little as 30 days. To accelerate time to value, conversational AI can be deployed alongside existing systems, allowing you to start small, prove outcomes, and expand over time without disrupting current operations.

By integrating with your CX ecosystems and retrieving rich customer context — history, account status, prior interactions — at the start of the conversation and adapting responses to it, conversational AI agents deliver the efficient, personalized experiences today’s customers expect.

Every automated interaction generates valuable CX data. Analyzing intents, failed containments, and repeat contacts surfaces friction points across the journey — potential product confusion, unclear policies, broken processes, and inefficiencies— that would otherwise stay invisible.

Verint Conversational AI Agents include Value Dashboards, which track ROI against the metrics each automation targets, from containment and cost per resolution to agent capacity freed. With built-in monitoring tailored to your critical CX KPIs, you can understand where agent interactions are driving the most value and maximize the impact of your AI investment.