An AI receptionist that answers in your caller's own language
A caller who's more comfortable in Spanish shouldn't have to struggle through English to get help, and you shouldn't need a bilingual staff member on every shift to make that possible. Cysora holds the conversation in the language the caller actually uses.

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Worked examples
How a call gets handled in the caller's own language
A routine call in Spanish
Caller: "Hola, quería preguntar si tienen disponibilidad esta semana." ("Hi, I wanted to ask if you have availability this week.")
The agent asks:
- ¿Cuál es el problema o servicio que necesita? (What's the issue or service you need?)
- ¿Cuál es su nombre y el mejor número para contactarlo? (What's your name and the best callback number?)
Job summary
- Issue
- Routine enquiry, conducted entirely in Spanish
- Service area
- n/a — depends on the specific business configured
- Preferred time
- Availability offered in the same language the caller used
- Next action
- Logged to the Lead Inbox; your team can read the conversation in English (or their own preferred language) without needing to speak Spanish themselves.
- Captured details
- Name and callback number (captured as given, not translated) · Nature of the request
Why this outcome: The same configured business rules apply regardless of language — the agent doesn't offer different availability or answers depending on what language someone happens to call in.
A caller who switches languages mid-call
Caller: A caller starts in Spanish, then switches to English partway through — or a family member joins the call to translate for someone else.
The agent asks:
- Whatever's natural in whichever language is being used at that moment.
Job summary
- Issue
- Mixed-language conversation
- Service area
- n/a
- Preferred time
- Determined by the actual request, regardless of which language it arrived in
- Next action
- The conversation continues naturally rather than forcing a caller to restart or pick one language and stick to it.
- Captured details
- Details captured accurately regardless of which language they were given in
Why this outcome: Language isn't a fixed mode selected up front — the agent follows the conversation as it actually happens, the way a genuinely bilingual person would.
A language the business hasn't configured for
Caller: A caller speaks a language the business didn't specifically expect or prepare for.
The agent asks:
- Whatever the agent can establish about the caller's need, even with limited shared vocabulary.
Job summary
- Issue
- Unplanned-for language
- Service area
- n/a
- Preferred time
- Not guaranteed — this is a genuine limit, not a guaranteed fallback
- Next action
- The agent does its best but doesn't pretend to full fluency it doesn't have — it captures what it can and flags the conversation for the business's team to follow up on directly.
- Captured details
- Whatever contact details can be captured
Why this outcome: Honesty about the limit matters more than looking capable — an unclear or wrong response is worse than a plainly flagged follow-up.
How it’s built
The same configurable engine, applied to your business
Every Cysora agent runs on the same four-step engine — what makes it yours isn’t a different template, it’s the rules you configure inside each step. Here’s how those four steps actually play out for a business like yours:
Asks the right questions to understand exactly what the caller needs — configured by you, not a fixed script.
It asks the same qualifying questions in whichever language the caller uses — a conversational property of one agent, not a separate bot per language.
Checks the request against your own configured rules and examples before deciding what happens next.
The matching logic doesn't change by language — only the words do.
Turns what it learned into a concrete next step, following your pricing, scheduling, and escalation rules.
It produces the same next step it would in English, in the caller's own language, with no separate configuration required.
Books the visit, logs the lead, or hands off — exactly the way you've configured it to end.
It ends the same way regardless of language: a booking, a lead, or a hand-off — logged identically either way.
Personalize
How the same rules carry into every language
You configure the same business rules — services, hours, escalation — regardless of language; the agent carries them into whichever language the caller speaks. Your team can still read every conversation in their own preferred language in the Lead Inbox, even one that was conducted entirely in Spanish.
Scale
Every channel, one conversation
You edit the modules and rules above once, in one place — the resulting agent deploys across every channel below without separate setup for each.
Embedded on the business's own website, in whatever language the visitor uses.
Same language-aware conversation continues over WhatsApp for callers who prefer to text.
Answers your phone line directly, in the caller's own language — the same agent, the same configured rules, whether the call comes in by voice, web, or WhatsApp.
Replies from your business inbox with the same configured rules — the same agent whether the conversation started by phone, WhatsApp, web, or email.
The same configured rules and services carry into every language the agent handles, so a business doesn't need a separate script or a separate hire for each language its customers speak.
Questions before you try it
What buyers ask first
Can this act as a Spanish-speaking medical receptionist?
For a medical practice, the language support can carry the same tightly scoped scheduling and front-desk workflow in Spanish: appointments, contact details, insurance carrier as stated, and an immediate staff hand-off when the caller says something is urgent. It should not invite symptoms or other clinical details; the medical workflow keeps those boundaries regardless of language.
Which languages does it actually support?
Spanish is the most common need alongside English, and it isn't limited to just those two — talk to us about the specific languages your callers use.
Does my staff need to speak the same language to know what happened on a call?
No — every conversation is logged in the Lead Inbox, and your team can read it in their own preferred language, regardless of what language the call was actually conducted in.
What happens if a caller speaks a language you haven't set up?
It does its best with what it can understand, but it doesn't pretend to fluency it doesn't have — it captures what it can and flags the conversation for your team, rather than guessing at a response that might be wrong. See the scenario above.
Does it work the same across phone, web, and WhatsApp?
Yes — the same language-aware agent runs on every channel it's deployed on, so a caller gets consistent treatment whichever way they reach you.
Can I keep my existing business number?
Yes — forward your existing number to the agent rather than handing out a new one.
What does setup involve?
The same configuration as any other setup — your services, hours, and rules — the agent carries that into whichever language a caller uses.
What’s out of scope today
- Does not guarantee fluency in every language a caller might speak — genuinely unplanned-for languages get an honest, flagged hand-off rather than a guessed response.
- Does not translate or interpret for a live three-way call between the business and the caller — it conducts its own conversation in the caller's language.
- Does not process payment; scheduling and estimates only, unless the business has configured pricing.
Also built for
Advertise
Once bilingual coverage is handling real calls reliably, it's worth knowing whether your paid search is currently missing Spanish-language or other non-English search intent entirely.
How this example was produced
Reproducible internal demonstration, synthetic caller data
The scenarios above reflect how the agent conducts a conversation in the caller's own language, run against synthetic caller scenarios. The staff-side Lead Inbox translation referenced above is a real, shipped feature, not an aspiration.
Last checked 2026-09-08
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