AI Voice Agent That Already Knows Your SaaS — No FAQ, No Intents, No Integration

Every AI voice-agent tool on the market opens with the same onboarding flow: "Upload your FAQ. Connect your CRM. Define your intents. Author your prompts. Train on 50 sample calls." A day of work before the phone rings once.

We just shipped the voice agent inside Maniana's Support office. It has none of that setup — because the platform that built your SaaS is also running its support desk. Pick the app. Grab a number. Take the first call. That's the entire onboarding.

What every other voice agent asks you to do first

The current wave of AI voice tools — Vapi, Retell, Bland, and plenty of enterprise incumbents like NICE and Genesys — is genuinely great at the speech-to-speech piece. But they all share the same architectural problem: they don't know what your product does. They can't. They didn't build it.

So they ask you to teach them. Every single time:

• Upload a knowledge base or FAQ. Keep it in sync forever.
• Connect a CRM, a ticketing system, and a data warehouse.
• Author intents and slots — sometimes dozens of them.
• Write system prompts and few-shot examples.
• Iterate on tone, then re-train after every product change.

That's not a bug in those tools — it's the only option they have. They're horizontal. They talk to any product, which means they know none of them.

Maniana skips all of it

Maniana's voice agent doesn't need an FAQ upload because it can read the app. It doesn't need a CRM integration because your users are already in the same platform. It doesn't need intent authoring because the product model tells it what customers ask about. The "training data" is your app.

When you change your app in Maniana, the agent knows the next call. Nothing to re-sync, nothing to re-train, nothing to re-prompt.

What you actually saw in that clip

• Voice agent, live in a click. Point it at an app you built in Maniana. It inherits the data model, the tone, and the answers — no prompt engineering, no scripts to author.
• Live transcription. The call is transcribed in real time as the customer talks. You can watch it happen; you don't have to review it later.
• The ticket wrote itself. The moment the call ended, a structured ticket appeared in the queue — with the customer, the issue, sentiment, and the suggested next action. Nothing typed by hand.

Voice is one of three. Email + tickets are the other two.

The clip shows voice because voice is the surface every solo founder either skips or duct-tapes. But the same office also handles:

• Email support — same brain as Frontdesk. Triage, draft, route with rules you write in plain English.
• A native ticket queue — one record per customer. Voice calls, emails, and chat threads from the same person merge into one conversation. Context follows the person, not the channel.

Who this is for

This isn't built for a 200-person support org buying a best-in-breed voice platform. It's built for the solo founder — or the two-person team — who shipped an app in Maniana (or Cursor, or Lovable, or Bolt, or v0) and just started getting support calls they can't answer at 2am. If that's you, the choice isn't "Vapi vs Maniana." It's "a week of setup vs. a phone number in one click."

Try it now

Sign up, point the agent at an app, grab a phone number. Take your first call ten minutes from now. It's free to start.