Cignara

Enterprise B2C companies in sectors like retail, banking, telecom, healthcare and travel rely on FAQs and IVR menus to handle customer support at scale. These systems only retrieve information rather than take action, forcing customers through scripted menus and often requiring escalation to human agents for tasks like refunds, bookings, or account updates. This makes customer support a cost center rather than an opportunity, since conversations do not resolve issues end-to-end or create revenue moments.

Cignara replaces FAQs and IVR menus with AI voice and chat agents that reason over customer data, including CRM records, profiles, conversation history, and sentiment, then apply business logic and take real actions such as refunds, bookings, updates, payments, and cancellations. The voice agents support 32+ languages with low latency and natural turn-taking, while chat agents complete actions like checkout, scheduling, and tracking inside the conversation itself. An AI Copilot listens to human agents in real time, transcribes calls, and suggests next-best actions with cited knowledge base references, and a Conversation Intelligence product tracks ROI, churn prevented, and QA scores per interaction. The company describes an execution framework that layers customer context, business logic, action-taking, verification against policy and guardrails, and outcome logging, and states responses are grounded in a company's knowledge base with confidence scoring and source citation to avoid hallucination, with data hosted in the customer's region for compliance.