AL
39 terms explained in plain English. No jargon, no gatekeeping.
AI systems that can take autonomous actions and make decisions to complete multi-step tasks, rather than just responding to single prompts. AgentForge uses agentic AI to handle complete customer workflows.
About AgentForge →A software system that can perceive its environment, make decisions, and take actions to achieve specific goals without constant human direction. Different from a chatbot in that it can perform tasks, not just answer questions.
Industry Guides →A set of rules that allows different software systems to communicate. AI agents use APIs to connect with your existing tools like CRMs, booking systems, and email platforms.
Using technology to perform tasks with minimal human intervention. AI automation goes beyond simple rule-based automation by handling tasks that require understanding context and language.
An AI agent specifically designed to handle appointment scheduling, rescheduling, cancellations, and reminders automatically.
Find an Agent →A software application that simulates conversation with users. Modern AI chatbots use large language models for more natural, context-aware conversations compared to older rule-based chatbots.
The minimum certainty level an AI agent must reach before providing an answer. Below this threshold, the agent escalates to a human — a critical safety feature.
Software for managing customer interactions and data throughout the customer lifecycle. AI agents can integrate with CRMs to access customer history and log interactions.
A metric measuring how satisfied customers are with a service interaction, typically on a 1-5 scale. AI agents can improve CSAT by reducing wait times and providing consistent answers.
The physical location where data is stored and processed. UK businesses should verify their AI provider processes data in compliance with UK GDPR and the DUAA 2025.
UK legislation passed in June 2025 that simplifies data compliance and supports AI innovation while maintaining strong privacy standards.
Experience, Expertise, Authoritativeness, and Trustworthiness — Google's framework for evaluating content quality. We follow these principles across our website.
The process of transferring a customer interaction from an AI agent to a human team member when the query requires human judgement, empathy, or expertise beyond the AI's capability.
The process of further training an AI model on specific data to improve its performance for a particular task or domain, such as understanding dental or legal terminology.
The time between a customer sending a message and receiving the first reply. AI agents can reduce FRT from hours to seconds. Industry data shows AI cut FRT from 6 hours to 4 minutes in some implementations.
Data protection law covering the processing of personal data. UK GDPR applies post-Brexit and requires businesses to handle customer data responsibly, with explicit consent where needed.
When an AI generates information that sounds plausible but is factually incorrect. A key reason why human-in-the-loop design and escalation rules are essential.
An AI system design where humans maintain oversight and can intervene when needed. Research shows 71% of users prefer this approach over fully autonomous AI.
Our Methodology →An AI's ability to understand what a customer actually wants from their message, even when the request is ambiguous or poorly phrased.
An automated phone system that interacts with callers using voice and keypad inputs. Modern AI-powered IVR systems use natural language understanding for more natural conversations.
A structured collection of information that an AI agent uses to answer questions. For business AI agents, this typically includes FAQs, product details, policies, and procedures.
An AI model trained on vast amounts of text data that can understand and generate human-like language. Examples include GPT-4, Claude, and Gemini. AgentForge agents are built on proven LLM foundations.
An AI agent that identifies, qualifies, and captures potential customers through conversations, form responses, and website interactions.
Find an Agent →The process of determining whether a potential customer is a good fit for your product or service. AI agents can qualify leads 24/7 based on criteria you define.
Real-time text-based communication between a business and its customers, typically via a website widget. AI agents can handle live chat alongside or instead of human agents.
The branch of AI that helps computers understand, interpret, and respond to human language in a useful way. It powers the conversational abilities of AI agents.
A customer loyalty metric measuring how likely customers are to recommend your business on a 0-10 scale. Faster, more consistent service from AI agents can improve NPS.
A customer service approach that provides a seamless experience across all channels — website, phone, email, social media, messaging apps — with consistent information and context.
An AI agent that guides new customers through setup, product familiarisation, and initial configuration to improve activation rates and reduce support tickets.
Find an Agent →The practice of crafting effective instructions for AI models to get the best possible responses. In business AI, this means carefully designing how agents are instructed to handle different scenarios.
A technique where an AI retrieves relevant information from a specific data source before generating a response. This reduces hallucination by grounding answers in real data rather than training data alone.
The total time from when a customer issue is raised to when it is fully resolved. AI can reduce resolution times dramatically — published data shows reductions from 32 hours to 32 minutes in best-case scenarios.
An AI agent that monitors online reviews across platforms, alerts you to new reviews, and can draft appropriate responses for your approval.
Find an Agent →A measure of the profit or savings generated relative to the cost of an investment. Industry data suggests AI customer service returns an average of $2.80 per $1 invested over 12-18 months.
ROI Calculator →Allowing customers to find answers and complete tasks without contacting a human agent, typically through AI chatbots, knowledge bases, or automated systems.
AI technology that detects the emotional tone of text — positive, negative, or neutral. Useful for monitoring customer satisfaction in real-time and prioritising urgent issues.
A commitment to respond to or resolve customer queries within a defined timeframe. AI agents help meet SLAs by providing instant first responses 24/7.
An automated message sent from one application to another when a specific event occurs. AI agents use webhooks to trigger actions in your other business tools.
Using technology to automate a sequence of tasks that form a business process, such as: customer enquiry → qualification → booking → confirmation → follow-up.