RAG Explained: How Retrieval-Augmented Generation Keeps Enterprise AI Honest
A non-jargony explanation of retrieval-augmented generation for enterprise buyers, with examples of how RAG prevents hallucinations in voice AI.
Read articleProactive greeting changes everything about a kiosk. Here is how presence detection works and why it lifts engagement so dramatically.
Walk up to most kiosks and nothing happens. You have to figure out the interface, find the button, and start. That tiny moment of friction is where the majority of potential interactions quietly die. Presence detection removes it by letting the kiosk notice you and speak first.
A machine that waits feels like work; a machine that greets feels like service. When a kiosk says "Hi — can I help you find something?" the moment you approach, it gives implicit permission to engage and demonstrates, in one sentence, that talking to it is normal and easy. Engagement rates rise sharply when the system initiates.
Tuning matters. Too eager and the kiosk greets everyone walking past, becoming annoying background noise. Too shy and it misses people genuinely seeking help. The art is a trigger zone that matches how people actually approach in that specific space — which is why on-site tuning beats factory defaults.
A proactive greeting is the cheapest, highest-impact upgrade you can make to a self-service experience. It converts hesitation into a conversation.
Presence detection should sense that someone is there, not identify who. Good systems use presence signals to trigger interaction without storing biometric identity, and are transparent about it. Ask vendors exactly what is sensed, what is stored, and for how long.
Presence and voice are made for each other: presence removes the friction of starting, and voice removes the friction of interacting. Together they create something closer to a helpful person than a machine — which is exactly what a lobby or concourse needs.
A live, 15-minute conversation with your future front desk — in any language.
Request a DemoA non-jargony explanation of retrieval-augmented generation for enterprise buyers, with examples of how RAG prevents hallucinations in voice AI.
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