The list never gets finished
Follow-ups, win-backs, surveys, and campaign calls — records arrive every day while headcount stays flat, so a team gets through about four hundred of five thousand records in a day.
Auto dialer · smart outbound
Auto dialer and smart outboundFinish the list. Hand reps only the warm records.
Looking for an auto dialer or an AI voicebot for a phone-sales team? Separate a traditional auto dialer from smart outbound that can hold the conversation. Pathors works the list from your SOP, skips dead and busy numbers, and passes only warm records to reps.
- 5,000 records dialled per day
- Dead and busy numbers skipped automatically
- Structured the moment it hangs up
Ann · AI outbound agent
Dialling00:27Hello Mr. Lee, this is Ann, an AI voice agent. You left your details on our site last week asking about our plans. This call is recorded — do you have two minutes?
Sure, go ahead.
First, can I check which problem you're actually trying to solve — inbound calls you can't answer, or lists you can't finish?
The lists. Our reps get through less than half of them.
Understood, I'll tag you as an outbound requirement. I've booked Thursday 2pm for a walkthrough and you'll get a confirmation text shortly — the consultant will bring real numbers from your sector.
The problem
It isn't the list. Outbound and headcount are structurally mismatched.
Records arrive daily, too few of them are live, and the ones that connect still need typing up. Three gaps: your coverage, your hours, and your reaction time.
Dead numbers eat the day
Disconnected lines, busy signals, instant hang-ups: around 60% of dials land on records that were never going to answer.
Calls happen; nothing lands in the system
How interested they were and what got promised still needs someone to replay the recording and type it into the CRM, so list value shows up a full day late.
How it works
Load a list. It dials, filters and grades the whole thing.
Dial, qualify, converse, structure — only the high-intent records reach a person.
01
Load the list, or let a system trigger it
CRM, spreadsheet or form capture all work as sources.
02
Dials in parallel, on your script
Verifies the person, takes recording consent, follows your script.
03
Grades intent and tags the record
Every step follows the SOP you defined rather than a model improvising.
04
People only call the warm ones
High-intent records go to your reps with the full conversation attached.
Callbacks and inbound
When they call back, that one matters too
Dial out enough and people ring back.
Recognises the number it just dialled and picks the conversation back up where it stopped, so the customer doesn't start from scratch.
Ann · AI outbound agent
Hello, service centre — this is Ann, an AI voice agent.
Someone just called me and I missed it.
That was about the details you left on our site. Last time you mentioned wanting to check budget with your manager — did that come to anything?
Yes, they said we can take a look.
Great. I'll book Thursday 2pm for a walkthrough with real numbers from your sector, and send a confirmation text now.
After the call
The list becomes data the moment the line drops
Intent grading and tags
High intent, follow up, nothing right now, do not call — tagged as each call ends.
Objection breakdown
Price, timing, incumbent supplier, simply not needed — classified and counted.
Connect it, or hand us the list
SIP onto your PBX, or send the list and take results back as a sheet or dashboard.
Auditable end to end
Transcripts plus decision paths, so a compliance review can pull the full context.
Measured
Same list. A human team reaches 8% of it.
5,000
Records dialled to completion in a day
~400
What a human team reaches the same day — about 8%
<1s
First-response latency; comparable tools often exceed 10 seconds
T+0
Structured on hang-up, instead of typed up tomorrow
Figures come from an actual 5,000-record daily batch and Pathors platform measurements, not a revenue guarantee. Results vary with list quality, script and sector.
Selection
Auto dialer, smart outbound, or on-premise
Before you ask for an auto dialer recommendation, ask which of these three the vendor actually sells. The table is a selection checklist, not a vendor ranking.
| What to confirm | Traditional auto dialer | Cloud AI voicebot | On-premise or hybrid |
|---|---|---|---|
| Who talks after connect | A human rep | An AI voicebot finishes the call from your approved script | Same conversation model, with the list and inference able to stay in your environment |
| Dead and busy numbers | They still consume rep time | Skipped automatically | Same as the cloud voicebot |
| Where the list and transcripts sit | Usually on the dialer platform | Fully managed cloud | Your data center or private cloud, or sensitive data on-prem with compute in the cloud |
| Who it fits | Teams with enough reps to take every connect | Phone-sales teams that need the warm records sorted out first | Enterprises that cannot let the list or transcripts leave a named environment |
| How you go live | Keep the dialer you already run | Fully managed SaaS | Deploy in your data center or private cloud, with a Forward Deployed Engineer through go-live |
Pathors is the second and third column: smart outbound on cloud, on-premise, or hybrid. A typical go-live is about 30 days. A Forward Deployed Engineer stays with your team from scoping and integration through testing and handover.
FAQ
What phone-sales teams ask before they pick an auto dialer
An auto dialer places the call and hands a live answer to a person. Smart outbound is an AI voicebot that finishes the conversation from a script you approved, skips dead and busy numbers, and passes only warm records to reps. The evaluation dimensions are in how to choose an AI auto-outbound system.
Confirm that it holds a conversation, not only that it dials. Then check that the script is locked to your SOP, that the list and transcripts can stay in the environment you name, and that warm-record results write back to the CRM. Rollout steps for a phone-sales team are in how to roll out AI telemarketing.
Public roundups mix dial-only systems, recorded blasts, and voicebots that can talk. Separate those with the table above, then ask the vendor to run your own script and to say where the list and transcripts will sit. Pathors is a Taiwan team building smart outbound, on cloud or on-premise. This page is the workflow.
No. An SOP decision engine models the call as states and decision nodes, so the agent can only move along scripts you approved. Anything outside its authority transfers to a person, and it cannot be talked off script. Marketing calls need that authority written into the SOP.
No replacement is required. SIP connects to the system you already run, so numbers and equipment stay. Enterprise customers can deploy on-premise, keeping the list and call records in their own data center or private cloud, or keep sensitive data on-prem while compute runs in the cloud. Access follows data minimization, and call records stay auditable. The three deployment models are compared on on-premise, hybrid, and cloud.
A typical go-live is within about 30 days, covering discovery, script and flow build, testing, and production dialing. A Forward Deployed Engineer works with your team from scoping and integration through testing and handover.
Send us a batch of the list you won't finish this month
Bring your volumes, your script and your headcount. In 30 minutes we'll work out how far coverage can go and how many hours come back.
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