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Use cases

What this looks like in your industry

The mechanism is the same everywhere — an agent that answers from your own documents and fetches a person when it should. What differs, and differs enormously, is what a wrong answer costs. Each page below is mostly about that.


Clinics and hospitals

Appointments, preparation instructions and the same forty questions — answered without giving medical advice.

Hotels and hospitality

Directions, check-in times and late arrivals — in the guest’s language, before they land.


Not listed?

The pattern transfers. Anywhere a small number of documents answers a large number of repeated questions — a garage quoting service intervals, a microfinance office explaining loan terms, a government service listing required papers — the shape is the same, and so is the discipline: write down what it must refuse before you write down what it should answer.

The mechanics are in how retrieval works, and the build is in the tutorial.

WhatsApp AI agents, by industry · WaveSenda