Glossary

This glossary covers the complete vocabulary of modern contact center AI — from foundational concepts to the latest agentic architectures — aligned with NiCE Cognigy’s platform and the technology developments shaping customer experience in 2025 and beyond. Terms are sorted alphabetically.

  • Agent Handover Transfers a conversation from a bot to a human agent while preserving full context.
  • Automated Speech Recognition (ASR) Converts spoken language into machine-readable text for voice-based AI applications.
  • Average Handle Time (AHT) Metric averaging total talk time and post-call work per customer interaction.
  • Auto Dialer Automation system that dials numbers and routes answered calls to agents, recordings, or bots.
  • Automatic Call Distributor (ACD) Routes inbound calls to agents, teams, or IVR menus based on preset rules.
  • Blended Agent Contact center agent trained to handle both inbound and outbound calls flexibly.
  • Barge-In Voice feature that lets users interrupt a bot mid-response so it starts listening.
  • Chatbot Plain-text record of voice interactions used for QA, compliance, analytics, and AI training.
  • Cognitive Computing Uses context to handle ambiguity in human problems and synthesize information into solutions.
  • Contact Center Office receiving and sending customer communication across calls, chat, email, and social channels.
  • Contact Center Agent Handles inbound and outbound customer interactions, increasingly supported by real-time AI tools.
  • Contact Center AI (CCAI) AI software that automates conversations and assists human agents across contact center channels.
  • Continuous ASR Real-time speech-to-text that transcribes as users speak, enabling smoother voice interactions.
  • Conversational AI Combines NLP, ML, and ASR to enable natural, human-like communication between people and machines.
  • Conversational IVR Speech-based IVR that understands natural language instead of forcing menu navigation.
  • Deep Learning Machine learning using multi-layer neural networks, inspired by biological signal processing.
  • Digital Wait Treatment AI engagement of callers on hold to entertain, upsell, or resolve queries during wait time.
  • First Contact Resolution (FCR) Metric tracking how often customer issues are resolved in a single interaction.
  • GDPR EU legal framework for data protection and privacy that applies to anyone processing EU residents' data.
  • Hyperautomation Combines AI, ML, and RPA to automate end-to-end business processes across systems and functions.
  • Interactive Voice Response (IVR) Menu-based phone system that interacts with callers via voice or keypad inputs.
  • Language Detection Lets bots recognize and switch languages mid-conversation to match the user.
  • Machine Learning (ML) AI branch enabling systems to learn patterns and make decisions from data without explicit programming.
  • Natural Language Generation (NLG) Converts structured data into natural-sounding speech or text responses.
  • Natural Language IVR AI-powered IVR that understands open phrases and context, not just keywords.
  • Natural Language Processing (NLP) Tech enabling machines to recognize and meaningfully respond to human language.
  • Natural Language Understanding (NLU) Interprets intent, sentiment, and meaning behind user language.
  • Next Best Action AI recommendations that guide agents toward the most relevant step during live interactions.
  • Omnichannel Customer Experience Seamlessly connected journey across channels that preserves context and history.
  • Predictive Routing AI- and ML-driven routing that predicts the best agent-customer match from historical data.
  • PSTN Global circuit-switched telephone network that forms the foundation of traditional phone calls.
  • Robotic Process Automation (RPA) Low-code robots that automate repetitive business tasks across systems.
  • Sentiment Analysis NLP technique extracting emotion, satisfaction, and opinion from text or conversations.
  • Session Border Controller (SBC) Software or hardware securing and routing SIP-based voice, video, and chat traffic.
  • SIP Protocol Signaling protocol that initiates, modifies, and ends VoIP voice, video, and messaging sessions.
  • SIP Trunk Virtual phone line using SIP over VoIP to connect enterprise PBXs to outside networks.
  • Speaker Recognition Voice biometrics that verify or identify a speaker from distinctive vocal characteristics.
  • TTS Caching Reuses previously generated speech audio to cut latency and improve voice-bot performance.
  • Voice Automation AI automation of phone interactions using STT, NLU, and TTS instead of a human agent.
  • Voice Bot AI that converts speech to text, detects intent, and replies in synthesized speech on phone calls.
  • Voice Concierge AI voice assistant giving personalized recommendations and handling bookings in spoken language.
  • Voice Stream (RTP) Real-time Transport Protocol delivering packetized voice and video over IP networks.
  • Webchat In-page, text-based channel for real-time chat with bots or agents without leaving the site.
  • WebRTC Open protocol enabling voice, video, and data communication directly in browsers without plugins.
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