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Glossary

Decagon’s AI and CX glossary

The world of agentic AI and modern customer experience moves fast. This glossary breaks down the most important concepts in plain language, so your team can evaluate, deploy, and scale CX platforms with confidence.

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A

A2A protocol

After-call work (ACW)

Agent assist

Agent assist vs AI agent

Agentic AI

Agentic RAG

Agent occupancy

Agent quality score

Agent SOP

Agent utilization rate

Agent versioning

AI agent handoff

AI agent memory

AI agent orchestration

AI compliance

AI concierge

AI coverage rate

AI escalation policy

AI evaluation

AI grounding

AI grounding vs RAG

AI guardrails

AI hallucinations

AI observability

AI personalization

AI red teaming

AI SDR

AI tokens

AI voice agent

AI workflow automation

Asynchronous messaging

Attention mechanism

Authentication

Automatic call distributor

Automatic Speech Recognition (ASR)

Auto-tagging

Average handling time (AHT)

Average resolution time (ART)

Average speed of answer (ASA)

Average wait time

B

Business process outsourcing (BPO)

Buy online, pick up in store (BOPIS)

C

Call abandon rate

Call center

Call center shrinkage

Call routing

Canary deployment

Canned response

Chatbot containment rate

Confidence score

Contact center as a service (CCaaS)

Contact rate

Contextual analysis

Context window

Conversational AI

Conversational AI design

Conversational AI vendor evaluation

Conversational analytics

Conversational commerce

Conversational IVR

Conversation summarization

Cost per contact

Cost-per-resolution

Customer acquisition cost

Customer churn rate

Customer effort score (CES)

Customer health score

Customer journey mapping

Customer onboarding

Customer retention rate

Customer satisfaction score (CSAT)

Customer segmentation

D

Data annotation

Data residency

Deflection rate

Dialogue state tracking (DST)

Digital concierge

Dual-tone multi-frequency (DTMF)

E

Echo cancellation (AEC)

Emotion detection

Entity extraction

Escalation rate

EU AI Act

Explainable AI

F

Fallback intent

Few-shot learning

Fine-tuning

First contact resolution (FCR)

First response time (FRT)

Foundation model

Function calling in LLMs

G

Generative AI for customer service

Golden dataset

Deliver the concierge experiences your customers deserve

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