Customer support · AI voice

Answer the support calls that cost you the most to staff.

Chat bots deflect the cheap tickets. The phone line is where support actually gets expensive. Callsy answers every call, resolves the repetitive ones end to end, and hands the rest to your team with the context already gathered.

60-70%of support calls are repeat questions
Conduzido porAda · Support agent
Canais:TelefoneSMSEmail

Para quem é

  • Teams where phone is still a primary support channel and headcount scales with volume
  • Businesses drowning in order status, hours, and policy questions that never needed a human
  • Ops leads who added a chat bot and found the phone queue unchanged
  • Anyone paying for after-hours cover to answer questions a system already knows

Como funciona

  1. 1

    Callsy answers instead of the queue

    No hold music, no menu tree. The caller says what they need in their own words and the agent responds. Answering in one ring removes the abandonment that happens in the first 40 seconds of a queue.

  2. 2

    It resolves what it can, end to end

    Order status, opening hours, returns policy, appointment changes, account questions. It reads from your real systems rather than a static script, so the answer is current, and it confirms by SMS or email while still on the call.

  3. 3

    It escalates the rest with context

    Anything outside its remit gets warm-transferred to a human, with the caller's identity, the reason for the call, and what has already been tried attached. Your agent starts the conversation informed rather than asking the caller to repeat themselves.

Por que funciona

  • Phone is the expensive channel. A voice ticket costs several times a chat ticket to serve, which is why deflecting calls moves the cost line far more than deflecting chats.
  • Most call volume is not complex. The repeat questions that dominate a support line are exactly the kind an agent with system access answers perfectly, every time.
  • Hold time is where satisfaction dies. Answering in one ring removes the single worst part of phone support, and it does not degrade at peak.
  • Escalation with context beats deflection. Handing a human a call that is already identified and triaged is worth more than blocking the call entirely.
  • 24/7 without a night shift. The agent covers evenings, weekends, and holidays at the same flat cost as a Tuesday afternoon.

Como soa a ligação

Ada · transcrição de exemplo
Ada

Thanks for calling Northwind. You're speaking with an AI assistant. What can I help you with?

Cliente

I ordered something last week and I have no idea where it is.

Ada

I can check that. Can I take the email address on the order?

Cliente

Yeah, it's j.reyes@example.com.

Ada

Got it. Order 48120, placed Thursday. It's out for delivery today, and the courier's window is between 2 and 6pm. Want me to text you the tracking link?

Cliente

Please. And can I change the delivery address? I won't be home.

Ada

That one I can't change once it's out for delivery, but the courier can hold it at a collection point. I'll text you the tracking link and the redirect option now, and I'll put you through to someone who can confirm the collection point if you'd rather sort it on the call.

Cliente

The link's fine, thanks.

O que entrega

1 ring
average answer time, no queue
24/7
cover at a flat monthly cost
0 repeats
escalations arrive with full context

Perguntas frequentes

How is this different from a support chat bot?

Channel and economics. Chat bots deflect text tickets, which are already the cheaper channel. Phone support is where cost scales with headcount, because a person can only take one call at a time. Callsy works the voice line, which is the expensive queue most support automation never touches.

What happens when the AI cannot resolve a call?

It warm-transfers to a human and passes the context across: who the caller is, what they wanted, and what has already been checked. The point is not to block the call. It is to make sure your team only spends time on calls that genuinely need a person, and starts those already informed.

Can it access our order and account systems?

Yes. It connects through our integrations or via API, so it answers from live data rather than a static FAQ. That is the difference between telling a caller where their order actually is and reading them a policy about delivery times.

Will customers accept an AI answering support calls?

In our own call data, disclosure at the start has no measurable effect on completion rates. What people object to is not being helped: hold queues, menu trees, and having to repeat themselves. An agent that picks up in one ring and answers correctly rates better than a queue that eventually reaches a person.

Does it work for inbound support outside business hours?

That is often where it pays for itself first. Evenings, weekends, and holidays are when calls go unanswered entirely, and the cost of covering them with staff is highest. The agent covers those hours at the same flat rate as any other.

How does this affect our support cost per ticket?

The saving comes from two places: the repeat calls resolved without a person, and the shorter handle time on escalations that arrive pre-triaged. Model it on your own numbers by taking your share of repeat calls, which is commonly 60 to 70% of volume, and your loaded cost per voice ticket.

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