AI Support Glossary
Essential terminology for AI-powered customer support — explained in plain English with practical context from Verabase.
AI Critic
A secondary AI model that verifies every response generated by the primary model, checking it against source documents to block hallucinations before they reach the customer..
AI Hallucination
When an AI model generates a response that sounds confident and plausible but is factually incorrect, fabricated, or not supported by any source material..
Audit Log
A tamper-proof record of every significant action taken in your Verabase account — who did what, when, and from where.
BYOK
A pricing model where you provide your own API keys for third-party services (like OpenAI or Deepgram) and pay those providers directly, instead of paying a markup through the platform..
CSAT
A metric that measures how satisfied customers are with their support experience, typically collected through a post-conversation survey with a 1-5 star rating..
Chunking
The process of splitting long documents into smaller, meaningful pieces so an AI can retrieve exactly the right section to answer a question, not the entire document..
Context Window
The maximum amount of text an AI model can process in a single request.
Conversation Deflection
The percentage of customer conversations that are fully resolved by an AI agent without any human involvement, directly reducing your support team's ticket volume..
Embedding Model
The AI model that converts text into vector embeddings for search.
Endpointing
In voice AI, endpointing is the process of detecting when a speaker has finished talking, so the AI knows when to start responding.
Escalation Matrix
A set of rules that determine when and how an AI-managed conversation should be transferred to a human agent, based on triggers like topic, sentiment, or customer tier..
Fine-Tuning
The process of training a pre-built AI model on your specific data to improve its performance for your particular use case.
First Response Time
The time between when a customer sends their first message and when they receive a meaningful response.
Human Handover
The process of transferring an AI-managed conversation to a human support agent when the AI can't resolve the issue or the customer requests a real person..
Knowledge Gap
A question that your AI agent cannot answer because the information doesn't exist in your knowledge base.
Multi-Tenant Isolation
A security architecture where each customer's data is kept completely separate from every other customer's data, even though they share the same infrastructure..
PII Masking
The process of automatically detecting and removing sensitive personal data (like email addresses, phone numbers, and credit card numbers) from text before it's sent to an AI model..
Prompt Engineering
The practice of crafting instructions that guide an AI model's behavior, tone, and response format.
RAG
A technique where an AI model retrieves relevant documents from your knowledge base before generating an answer, so the response is grounded in your actual content instead of the model's training data..
RBAC
A permission system that controls what each team member can see and do in Verabase based on their assigned role — Admin, Agent, or Viewer..
SLA
A target response time or resolution time that your support team commits to meeting.
SOC 2
A security certification that proves Verabase handles your data according to strict standards for security, availability, and confidentiality.
SSO / SAML
Enterprise authentication that lets your team log into Verabase using their existing company credentials (like Okta or Azure AD) instead of creating separate passwords..
Self-Healing Knowledge Base
A knowledge base that automatically detects what information is missing, drafts new articles to fill the gaps, and improves itself over time with minimal human effort..
Semantic Search
A search method that finds content based on meaning rather than exact keyword matches, so your AI understands what customers actually mean when they ask a question..
Speech-to-Text
The technology that converts spoken audio into written text in real time, enabling AI voice agents to understand what a caller is saying..
Text-to-Speech
The technology that converts written text into spoken audio, giving AI voice agents a human-sounding voice to respond to callers..
Token
The basic unit of text that AI language models process.
Vector Embedding
A numerical representation of text that captures its meaning, allowing AI systems to find semantically similar content even when the exact words don't match..
Webhook Gateway
A system endpoint that receives HTTP notifications from external services when events occur, allowing Verabase to react to events in your CRM, helpdesk, or custom software in real time..
How Verabase Handles Self-Healing Knowledge
The standard industry approach relies on support agents manually flagging stale content and technical writers updating documentation weeks later. Verabase completely upends this model through an autonomous AI platform that identifies knowledge gaps the moment an AI agent encounters a question it cannot answer.
Rather than requiring manual intervention, our visual RAG engine drafts a proposed fix. It analyzes the context of the user's question, reviews your existing knowledge base for conflicts, and creates a clear, structured article or snippet. All you need to do is click 'Approve'. This ensures your AI agents continually get smarter over time without adding to your support team's workload.
Security First Architecture
Many legacy platforms bolt AI onto their existing infrastructure, creating potential data leaks between tenants or exposing sensitive internal documents to end-users. Verabase is built from the ground up with a Bring Your Own Key (BYOK) architecture, enterprise-grade access controls, and strict semantic boundaries. This means your private engineering documents never accidentally leak into customer-facing agent responses.
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