Managed Agents at Previously $0.06 $0.03/minManaged Agents are Previously $0.06 $0.03/min.

ServiceNow#1 on EVA-Bench

Artificial Analysis#1 on Speech Agent Arena

AI auto dialer agents that work through every customer on your list.

Dial your list at your pace, confirm delivery windows, and save the result of every attempt.

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Ranked #1

on EVA-Bench and Speech Agent Arena

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Work through every customer on your list

Every number gets a saved result, and the agent calls at the pace and hours you set.

The agent runs as many calls at once as you choose, rings each line as long as you set, and works batches of up to 5,000 numbers.

The AI auto dialer puts an agent on every answered call

What does an AI auto dialer do?

An AI auto dialer works through a call list and has a voice agent handle each conversation, so no rep sits waiting for a pickup. You set how many calls run at once and how long each line rings, and a batch holds up to 5,000 numbers.

  • Look up delivery windows
  • Save the confirmed window
  • Save the attempt result
  • Transfer to dispatch

Is AI auto dialer software the same as a predictive dialer?

No. A predictive dialer connects answered calls to a person and has to pace itself to your team. Here the agent takes every answered call, so there's no team to pace against and you choose how many calls run at once.

Hi, this is Mira, an AI assistant calling for Larkspur Home Delivery about order D-7310. Am I speaking with Ana Ruiz?

Yes, that's me.

lookup_delivery_windowsD-7310: Fri 1 to 5

What happens on a delivery confirmation call?

The agent checks it has the right person, then confirms the order and the window and saves the result. If a furniture delivery no longer suits the customer, it offers open windows, and dispatch takes over when none fit.

Delivery window confirmed

Did the customer confirm a delivery window before the call ended?

What happens when nobody picks up?

On voicemail it leaves a short message with a callback number or hangs up, as you choose. Your retry rule decides who gets called next, and anyone who confirmed or opted out gets skipped. Outbound calls go to US numbers only.

  • Look up delivery windows
  • Save the confirmed window
  • Save the attempt result
  • Transfer to dispatch

Less left unresolved at the end of a batch

A dialer earns its place by what's still open when the batch finishes. These cards cover what this one handles and what stays your job.

Every number ends with a result

Confirmed, voicemail or moved, each attempt saves against the order, so you can see what happened to any row.

Retries follow your rule

Three tries over two days, or whatever you set. The agent calls back the customers your rule picks and drops anyone who confirmed.

Pacing is yours to set

Decide how many calls run at once and how long each line rings. A Cartesia number starts at most one new outbound call per second.

Voicemail is a setting

Leave a short message with a callback number, or end the call. Either way the attempt saves as voicemail.

Nobody hears a connection delay

There's no rep to connect, so the person who answers talks to the agent from their first hello.

Consent stays with you

The agent doesn't decide who may be called. Your list, your consent records and rules such as the TCPA stay your team's responsibility.

Ready for people answering an unknown number

Most pickups start with a wary hello, and plenty start with a greeting recording. Cartesia's speech models let the agent listen before it speaks.

  • $0.03per minute
  • #1on Speech Agent Arena and EVA-Bench
  • 24/7answers every call, at any hour

Tells a greeting from a person

A live hello and a voicemail greeting need different handling. The agent hears which one it got, then follows your voicemail choice.

The list logic lives in tools

Pick an LLM and attach the tools that look up delivery windows, save the confirmed window and save the attempt result.

Short and clear

Use a library voice that fits your brand and sounds natural on a confirmation that lasts under a minute.

AI auto dialer or a predictive dialer with reps

Teams buying enterprise AI auto dialer software usually start with who talks when someone answers. That decides what the list costs and what each call can do.

Cartesia agentPredictive dialer with repsManual dialing
Who talks on an answered callThe agent, on every callThe next free repThe rep who dialed
Calls running at onceAs many as your account allowsPaced to the reps on shiftOne per rep
RetriesYour rule, saved per attemptUsually built inDepends on the rep's notes
VoicemailShort message or hang up, as you chooseOften a pre-recorded dropLeft by hand
A long, open sales conversationSticks to the job you setA good rep can run with itA good rep can run with it
How you pay$0.03 per minute plus LLM usageUsually seat licenses plus rep timeRep time

See which calls confirmed a delivery window

Every call is recorded and transcribed. See which calls confirmed a window, which moved the delivery, and which reached voicemail.

Launch an AI auto dialer in three steps

Start building

  1. Clone delivery confirmation

    Start from this agent and swap in your brand, your callback number and the one job each call has to do.

  2. Connect your list and order data

    Link your order system through tools you configure, load a batch, then set calling hours, ring time and your retry rule.

  3. Dial your own phones

    Run a small batch to your team's numbers, let one go to voicemail, ask to move one, then check every saved result.

Enterprise-grade security

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    HIPAA compliant

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    SOC 2 Type 2

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    GDPR

Auto dialer FAQs

What is an AI auto dialer?

A dialer that calls your list and has a voice agent handle each conversation, with no rep on the line. See the phone agent product.

Is an AI auto dialer a predictive dialer?

No. A predictive dialer paces calls so a rep is free when someone answers. The agent takes every answered call, so you just set how many run at once.

How is an AI auto dialer different from AI outbound calling?

The auto dialer covers how the calls run: pacing, how long each line rings, retries, voicemail and batches of up to 5,000 numbers. AI outbound calling covers the campaign itself, meaning the offer, what the agent says, and the outcome for each number.

How many calls can an AI auto dialer make at once?

As many as your account allows, and one batch holds up to 5,000 numbers. A Cartesia number starts at most one new outbound call per second.

What does an AI auto dialer do on voicemail?

It leaves a short message with a callback number or ends the call, whichever you choose. Either way the agent saves the attempt as voicemail.

Can I set calling hours and retry limits for an AI auto dialer?

Yes. You set calling hours and retry limits in your list or scheduler, and the agent calls only inside them.

Can the agent transfer a customer to dispatch?

Yes. When no open delivery window fits, the agent connects dispatch, and you control exactly when else it transfers.

How do you evaluate AI-powered auto dialer solutions?

Start with what happens on an answered call, since that's what your customers hear. Then check the pacing controls, retry rules and voicemail options, and whether every attempt saves a result. Price a typical call with LLM usage and telephony counted. Run a small batch to your own team's phones before you trust it with a customer list.

Is this the best AI auto dialer for sales productivity?

Not for open-ended selling. It's built for list work with one clear job per call, like confirming a delivery window, so it suits sales teams with a short, repeatable step. For offers and booked next steps, see AI outbound calling, which covers the campaign itself.

How much does an AI auto dialer cost?

Short confirmation calls cost little. The agent is $0.03 per minute of call time, so a one-minute delivery confirmation is $0.03 in agent time. LLM usage is billed separately, and a Cartesia phone number adds $0.014 per minute, or nothing if you bring your own Twilio account or SIP trunk. The free plan includes $1 of agent calls a month, so you can test the agent before you pay. See pricing.

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