NLX

Routes customer conversations across voice, text chat, and messaging channels through a unified platform. Maintains conversation context and state across different communication modalities without requiring separate integrations.

Visually defines customer intents and routes conversations to appropriate handlers without writing code. Uses natural language understanding to classify incoming messages and trigger specific workflows.

Connects AI agents to messaging platforms (WhatsApp, Facebook Messenger, SMS, Telegram) to handle customer conversations on preferred channels. Manages message formatting and channel-specific features.

Provides pre-built conversation templates and workflow patterns for common customer service scenarios (password reset, billing inquiries, appointment booking). Allows customization and reuse across multiple deployments.

Analyzes customer sentiment and emotional tone during conversations to detect frustration, satisfaction, or urgency. Triggers appropriate responses or escalations based on detected sentiment.

Implements identity verification and authentication within conversations using security questions, OTP verification, or voice biometrics. Ensures conversations are secure and compliant with regulatory requirements.

Customizes AI agent responses based on customer profile data, preferences, history, and behavior. Delivers personalized greetings, recommendations, and communication style tailored to individual customers.

Maintains conversation context across multiple exchanges, remembering customer information and conversation history to enable natural, coherent multi-turn interactions. Handles complex dialogue flows with conditional branching based on accumulated context.

Connects AI agents directly to CRM systems (Salesforce, HubSpot) and helpdesk platforms (Zendesk, Jira Service Desk) to access customer data and create/update tickets without manual handoffs. Enables agents to pull customer history and push interactions back to business systems.

Connects AI agents to custom backend APIs and business logic systems to execute transactions, retrieve data, and trigger business processes. Enables agents to perform actions beyond conversation like booking, payments, or inventory checks.

Identifies and extracts domain-specific entities (names, account numbers, dates, product codes) from customer messages without pre-built models. Allows definition of custom entity types relevant to specific business domains.

Processes incoming voice calls, converts speech to text, manages voice interactions with natural language understanding, and generates voice responses. Handles voice-specific features like call routing, hold management, and voice authentication.

Tracks and analyzes conversation metrics including resolution rates, customer satisfaction, agent performance, and conversation patterns. Generates reports and dashboards to measure AI agent effectiveness and identify improvement areas.

Creates complex conversation flows with conditional logic that branches based on customer responses, extracted data, or business rules. Enables sophisticated decision trees without coding.

Seamlessly transfers conversations from AI agents to human representatives when needed, preserving conversation context and customer information. Manages queue routing and escalation policies.