ΟΡΟΙ
Γνώση

Γλωσσάριο

Ό,τι χρειάζεστε να γνωρίζετε για τον φωνητικό πράκτορα AI, τις AI πωλήσεις, το AI CX...

Φέρτε επανάσταση στις τηλεφωνικές σας λειτουργίες με τη Retell

Knowledge

AI voice agent glossary

Plain definitions of the terms that come up when you build, buy or run an AI phone agent. 54 terms, from ASR to zero data retention.

All
How  Voice Agent Works
AI & Models
Calls & Contact Center
Building & Integrations
Security & Compliance
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
All 54 terms, A to Z
A
AI & Models
AI Agent Training
Learn what AI Agent Training is, why it matters, and how businesses train AI voice agents to understand, respond, and resolve calls naturally and effectively.
Calls and contact centers
AI Call Routing
Discover how AI Call Routing directs calls in real time based on intent, priority, and customer data that improves speed, personalization, and resolution rates.
Calls and contact centers
AI Dialer
Understand how AI Dialers automate outbound calls using intelligent logic, allowing businesses to scale lead outreach and follow-ups with zero manual dialing.
How voice agents work
AI Intent Detection
Explore how AI detects caller intent, enabling voice agents to identify needs, trigger the right workflows, and shorten time-to-resolution.
AI & Models
AI Model Fine-Tuning
Learn how fine-tuning customizes AI models using real business data that improves accuracy, tone, and performance for voice agent conversations.
Calls and contact centers
AI Phone Agent
What is an AI Voice Agent? See how these AI-powered systems hold full conversations, automate phone workflows, and scale call operations 24/7.
Calls and contact centers
AI Voice Agent
What is an AI Voice Agent? See how these AI-powered systems hold full conversations, automate phone workflows, and scale call operations 24/7.
Building and integrations
API Integration
Learn how API Integration allows voice agents to interact with CRMs, databases, and other tools that turn conversations into real actions.
AI & Models
Artificial Intelligence (AI)
Get a high-level view of what AI is and how it powers everything from speech recognition to real-time decision-making in modern call automation.
Calls and contact centers
Automatic Call Distribution (ACD)
Understand how ACD systems use rules and AI to route calls efficiently to ensure callers connect with the right agent or automation path every time.
How voice agents work
Automatic Speech Recognition (ASR)
Explore how ASR turns voice into text, powering accurate transcription and enabling AI agents to understand what callers are really saying.
C
Calls and contact centers
Call Analytics
See how Call Analytics turns conversation data into insights that help businesses optimizeagent performance, spot trends, and improve service quality.
Calls and contact centers
Call Automation
Discover how Call Automation eliminates manual handling for routine calls, letting AI agents resolve tasks, schedule actions, and respond in real time.
Calls and contact centers
Call Flow
Learn what a Call Flow is, how it structures voice conversations, and why it’s critical for designing clear, outcome-driven AI call experiences.
Calls and contact centers
Call Handling
Discover what Call Handling means in the world of AI voice agents, and how automated systems manage, resolve, and escalate calls from start to finish.
How voice agents work
Call Intent
Understand what Call Intent is, how AI detects it in real time, and why recognizing the “why” behind a call is essential to voice automation.
Calls and contact centers
Call Logging
Learn what Call Logging is, why it’s crucial for tracking voice interactions, and how automated logging boosts visibility and efficiency in AI-driven call systems.
Calls and contact centers
Call Quality Monitoring
Explore what Call Quality Monitoring means in voice automation, and how it ensures conversations meet performance, compliance, and customer satisfaction standards.
Calls and contact centers
Call Transcription
Learn what Call Transcription is, how it supports AI voice agents, and why accurate transcriptions unlock better automation, analytics, and customer experiences.
AI & Models
Chatbot
Discover what a Chatbot is, how it compares to AI voice agents, and why understanding the difference matters when automating customer interactions.
Building and integrations
Cloud-Based AI
Understand what Cloud-Based AI is, how it powers scalable voice automation, and why cloud infrastructure is critical for modern AI deployments.
Security and compliance
Compliance
Explore how ASR turns voice into text, powering accurate transcription and enabling AI agents to understand what callers are really saying.
AI & Models
Conversational AI
What conversational AI is, how it differs from chatbots and IVR, the components behind it, and what to look for when choosing a platform for voice or chat.
Calls and contact centers
Customer Experience (CX)
Understand what Customer Experience (CX) is, how it relates to AI voice agents, and why delivering exceptional CX is a competitive advantage in today’s markets.
D
Security and compliance
Dialogue Management
Learn what Dialogue Management is, how it powers coherent AI conversations, and why it’s essential for building voice agents that sound truly human.
How voice agents work
Data Residency
What data residency means, how it differs from data sovereignty, and what to ask an AI voice agent vendor about where call data is stored.
E
How voice agents work
Entity Extraction
Discover what Entity Extraction is, how it helps AI voice agents capture critical details, and why it’s a foundational skill for real business conversations.
F
Calls and contact centers
First Contact Resolution (FCR)
First contact resolution (FCR) is the share of issues solved on the first contact. See the formula, a worked example, how to measure it, and what cuts it.
H
AI & Models
Human-in-the-Loop (HITL)
First contact resolution (FCR) is the share of issues solved on the first contact. See the formula, a worked example, how to measure it, and what cuts it.
L
AI & Models
Large Language Model (LLM)
An AI model trained on large amounts of text that can understand and generate language.
How voice agents work
Latency
The delay between a caller finishing speaking and the agent starting to respond.
M
AI & Models
Machine Leaning (ML)
Learn what Machine Learning (ML) is, how it powers AI voice agents, and why it’s fundamental to building smarter, faster, and more adaptable call automation systems.
How voice agents work
Multi-Turn Conversation
Learn what Multi-Turn Conversation is, how it makes AI voice agents feel human, and why maintaining context across exchanges is essential for real-world automation.
N
AI & Models
Natural Language Processing (NLP)
Learn what Natural Language Processing (NLP) is, how it powers AI voice agents, and why
O
Calls and contact centers
Omnichannel
Learn what Omnichannel means, how it impacts AI voice automation, and why delivering connected experiences across channels is now a business necessity.
Building and integrations
On-Premise Deployment
Learn what On-Premise Deployment means, why some businesses still choose it for AI systems, and how it compares to modern cloud-based AI deployments.
Calls and contact centers
Outbound Calling
Learn what AI outbound calling is, how AI voice agents automate outbound calls, and why businesses are rethinking manual outreach at scale.
P
AI & Models
Personalization
Learn what Personalization means in AI voice automation, how it improves customer experience, and why it’s essential for scalable, human-like conversations.
AI & Models
Prompt Engineering
Learn what Prompt Engineering is, why it matters for AI voice agents, and how careful prompt design shapes smarter, safer, and more on-brand conversations.
R
How voice agents work
Real-Time Speech-to-Text
Explore what Real-Time Speech-to-Text means, how it enables AI voice agents to operate effectively, and why speed and accuracy are essential for voice automation.
S
Building and integrations
Scalability
Explore what Real-Time Speech-to-Text means, how it enables AI voice agents to operate effectively, and why speed and accuracy are essential for voice automation.
How voice agents work
Sentiment Analysis
Learn what Sentiment Analysis is, how it helps AI voice agents gauge caller mood, and why emotional intelligence is key to automating high-quality conversations.
Security and compliance
SOC 2 Type II
An auditor’s report on whether a vendor’s security controls worked over a set period, usually 3 to 12 months.
How voice agents work
Speech Processing
The technology that captures, cleans and interprets spoken audio.
T
AI & Models
Training Data
The examples a model learns from, such as transcripts, recordings and labelled conversations.
How voice agents work
Turn-Taking Endpoints
The signals a voice agent uses to tell when a caller has finished speaking and it can reply.
V
How voice agents work
Voice Activity Detection (VAD)
Telling when someone is speaking versus silence or background noise.
How voice agents work
Voice AI
AI that can understand spoken language and respond with natural-sounding speech.
How voice agents work
Voice Biometrics
Identifying or verifying a person by the unique features of their voice.
How voice agents work
Voice User Interface (VUI)
A way of using software by speaking to it instead of tapping or typing.
W
Building and integrations
Webhook
An automatic message one system sends another when an event happens, such as a call ending.
Z
Security and compliance
Zero Data Retention (ZDR)
A setup where the provider keeps no copy of call content after processing it.
Guide
Learn
Guides, benchmarks and calling law.
Learn More
Compare
Comparisons
Retell next to other platforms.
Learn More
Course
Customers
How teams run Retell in production.
Learn More
Course
Retell University
Opens retelluniversity.com.
Learn More
SOC 2 Type II
SOC 2 Type II is an auditor's report on whether a vendor's controls worked over a set period. See Type 1 vs Type 2, the 5 criteria, and how to read one.
SOC 2 Type II (also written SOC 2 Type 2) is an independent CPA firm's report on whether a service provider's controls for protecting customer data were suitably designed and actually operated effectively over a defined period, measured against the AICPA's Trust Services Criteria. It is an attestation, not a certificate: the output is an auditor's opinion plus the tests behind it, not a pass or fail badge.
What is the difference between SOC 2 Type I and Type II?
Type I checks the design of controls on a single date. Type II checks that the same controls kept working across a period of months.
SOC 2 Type I
SOC 2 Type II
Time covered
One date ("as of")
A period with a start and end date
What the auditor tests
Whether controls are suitably designed
Whether controls are suitably designed and operated effectively
What it tells a buyer
The controls exist on paper and in setup
The controls ran, and where they failed (exceptions)
Companies often complete a Type I first, then a Type II once they have operating history to test.
What is the difference between SOC 2 Type I and Type II?
The trust services criteria are the AICPA's five categories a SOC 2 report can cover. Security is in every SOC 2 report. The company chooses whether to add the other four.
  • Security: systems and data are protected against unauthorized access and changes.
  • Availability: the system is available for operation and use as committed.
  • Processing integrity: processing is complete, valid, accurate, timely, and authorized.
  • Confidentiality: information designated as confidential is protected.
  • Privacy: personal information is collected, used, kept, shared, and disposed of in line with the company's commitments.
Two vendors can both say "SOC 2 Type II" and cover different categories, so check the scope before comparing.
How long is a SOC 2 Type II audit period?
Audit periods commonly run from 3 to 12 months. The report only speaks to that window, so read the exact start and end dates. To cover the gap between the period end and the next report, vendors often issue a bridge letter (or gap letter): management's statement that no material control changes have happened since. The vendor writes it, not the auditor, so it does not replace the report.
How do you read a vendor's SOC 2 Type II report?
Start with the opinion and the dates, then read the parts that move risk back to you:
  1. Auditor's opinion. An unqualified opinion means the auditor found the description fair and the controls effective. A qualified opinion flags a material problem.
  2. Audit period. If it ended a while ago, ask for the bridge letter and the next report date.
  3. System description and scope. Confirm the product you are buying is inside the scope, not just the vendor's corporate IT.
  4. Categories in scope. Security only, or security plus availability, confidentiality, or others?
  5. Exceptions. Read every failed test and the vendor's response. Repeated exceptions in access or change management deserve follow-up.
  6. Subservice organizations. Cloud hosts and other providers are often "carved out," meaning their controls were not tested. Ask for their own SOC 2 reports.
  7. Complementary user entity controls (CUECs). Controls the report assumes you run, such as removing departed users. Skip them and the vendor's controls do not fully protect you.
SOC 2 reports are restricted-use documents, usually shared under NDA. A SOC 3 is a shorter general-use version a vendor can publish, but it leaves out the test detail above.
Why does SOC 2 Type II matter for AI voice agents?
A voice agent platform handles call recordings, transcripts, and the personal data callers say out loud, and that data can pass through telephony, speech, and language model providers. That makes subservice organizations matter more than usual. Pair the SOC 2 review with two other questions: where the data is stored (data residency) and whether any provider keeps it after the call (zero data retention).
SOC 2 also has limits. It does not test how accurate an AI agent is, and it does not replace a HIPAA business associate agreement or a GDPR data processing agreement. For the wider picture, see compliance for AI voice agents, the enterprise voice AI compliance guide, and HIPAA compliance for AI phone agents.
What does Retell's SOC 2 cover?
Retell's security and compliance documentation lists SOC 2 Type 1 and Type 2, with independently audited controls for security, availability, and confidentiality. Certificates, reports, and the latest audit status are in the Retell Trust Center. Ask for the Type 2 report and run it through the checklist above.
Some controls sit on your side. In Retell, for example, you set the data retention period per agent, from 1 day to 2 years or no automatic deletion, and that choice is yours to make and document. For subprocessor lists or a custom security review, the docs direct buyers to support@retellai.com.
If your security team is reviewing voice AI vendors, see how Retell supports regulated deployments on the enterprise conversational AI platform page.
Security & compliance for regulated deployments
How Retell handles audits, data retention and access control.
Further Reading
Security and compliance
Zero Data Retention
A setup where the provider keeps no copy of call content after processing it.
How voice agents work
Data Residency
What data residency means, how it differs from data sovereignty, and what to ask an AI voice agent vendor about where call data is stored.
Security and compliance
Compliance
Acknowledge the importance of Compliance for AI voice agents; adhering to legal, security, and privacy standards is vital for growth in regulated sectors.
Related terms
Guide
Enterprise voice AI compliance guide
Guide
HIPAA compliance for AI phone agents
This is some text inside of a div block.