Sixteen terms you’ll hear when talking about AI agents, explained simply.
AI agentSoftware that uses AI to understand a task, decide what to do and take action in your systems, within rules you set.Agents handle whole jobs, not single replies, so they can take repetitive work off a person’s desk end to end.See it in practice at ailegalsz.com →
Voice agentAn AI agent that holds natural phone conversations: answering, asking questions and taking actions during the call.Most customers still pick up the phone for anything urgent. A voice agent means no call goes unanswered.See it in practice at aitelz.com →
Chat agentAn AI agent that converses over web chat, SMS, WhatsApp or social messages, trained on your own content.It answers instantly on the channels customers already use, at any hour.See it in practice at aitextbotz.com →
Workflow automationConnecting the steps of a process, such as triggers, decisions and actions across apps, so it runs without manual work.Most wasted time sits between tools: copying, chasing and checking. Automation removes those gaps.See it in practice at aidotz.com →
Human-in-the-loopA design where AI prepares or proposes and a person approves before anything important happens.It keeps people accountable for decisions while AI does the preparation.See it in practice at aidotz.com →
Large language model (LLM)An AI model trained on large amounts of text that can read, write, summarise and reason in natural language.LLMs are the engine that lets agents understand messages, documents and conversations.See it in practice at ailegalsz.com →
Retrieval-augmented generation (RAG)A technique where the AI looks up relevant facts in your documents before answering, instead of relying on memory.It keeps answers grounded in your policies and data, and makes them easier to check.See it in practice at aitextbotz.com →
GuardrailsRules and checks that limit what an AI agent can say or do, such as topics it avoids or actions that need approval.Guardrails are what make it safe to let agents work with real customers and real systems.See it in practice at ailegalsz.com →
Intent detectionWorking out what someone wants from what they say or write, such as booking, cancelling or asking about a bill.Getting intent right is the difference between a helpful agent and a frustrating one.See it in practice at aitelz.com →
Data extractionPulling structured details such as names, dates, amounts and reference numbers out of emails, forms and documents.It replaces hours of manual typing and copying between systems.See it in practice at aidotz.com →
Confidence thresholdThe level of certainty an AI step must reach before acting on its own; below it, the task goes to a person.It lets you decide exactly how much the AI handles alone.See it in practice at aidotz.com →
Escalation (handoff)Passing a conversation or task from an AI agent to a person, with a summary of what has happened so far.Good handoffs mean customers never have to repeat themselves.See it in practice at aitextbotz.com →
OrchestrationCoordinating several agents and tools so they share context and work together on one process.Real work spans many tools; orchestration keeps it all moving in the right order.See it in practice at aidotz.com →
HallucinationWhen an AI states something that sounds plausible but is not true or not supported by its sources.Grounding, guardrails and human review are how well-built agents avoid it.See it in practice at ailegalsz.com →
AI search visibilityHow often and how accurately AI assistants like ChatGPT, Gemini and Perplexity mention your business in their answers.More buyers now ask AI for recommendations before they ever visit a website.See it in practice at aillmz.com →
Audit logA tamper-evident record of every action an agent took, when, and with what data.It makes AI work reviewable and supports compliance in regulated industries.See it in practice at ailegalsz.com →
Make it rain.
01A 30-minute call about your industry and team02A written agent blueprint within a week03No commitment until you approve it
Discovery call · 30 minVideo call with the rainmindz team