The list never gets finished
Collections, follow-ups, win-backs, surveys — records arrive every day while headcount stays flat, so a team gets through about four hundred of five thousand records in a day.
Telesales & outbound centre AI
Every unfinished list is uncollected revenue
A full-time telesales rep places roughly 80–120 useful calls a day. Strip out the dead numbers, the busy signals and the instant hang-ups, and real conversations often land under 20. Pathors works the whole list, filters it, grades it, and hands people only the ones worth their time.
- 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 for compliance review in collections and finance.
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.
FAQ
What telesales leads ask first
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 can't be talked off script — which matters most in collections and financial services.
The agent identifies itself and discloses recording up front, and when someone asks to stop it registers the do-not-call entry on the call and keeps the record. Every conversation retains a transcript plus its decision path, so audits pull full context rather than a fragment.
On-premise deployment is supported, so lists and call records can stay in your own data centre. Access to personal data follows a minimised-field principle and every call remains auditable.
No. Connect over SIP to your existing stack and nothing changes, or skip integration entirely and use Pathors as an outsourced outbound centre with results returned as a spreadsheet or dashboard.
Five weeks as standard: week one discovery and script inventory, week two training and demo validation, weeks three to four live testing and iteration, week five production. A dialable demo exists on day one.
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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