AI SDR · inbound qualification

An AI SDR that calls the lead while they are still on your website.

Not a cold-calling robot. Callsy works your warm pipeline: the form fills, the demo bookings, the lapsed database. It calls within 30 seconds, qualifies against your criteria, scores the lead, and books the meeting.

20%pick-up rate inside 30 seconds
Run byNina · AI SDR
Channels:PhoneSMSEmail

Who it's for

  • Sales teams where inbound leads sit in a queue for hours before anyone calls
  • Companies with a large database of lapsed or unworked leads nobody has time to touch
  • Founders doing their own qualification calls and losing evenings to it
  • Teams whose reps spend more time qualifying than closing

How it works

  1. 1

    The trigger fires the call

    A form submission, a demo booking, a pricing page visit, a reactivation list. The call goes out on the webhook, not on a batch schedule, which is what keeps it inside the 30-second window that matters.

  2. 2

    Nina qualifies in conversation

    She asks your criteria as a conversation rather than a survey: company size, current stack, budget range, timeline, the actual problem. She handles the obvious objections and adapts follow-ups based on the answers.

  3. 3

    Scored, booked, and in the CRM

    The lead gets a score against your rules, the meeting goes straight into the right rep's calendar, and the transcript plus a summary lands in your CRM before the rep opens it. Unqualified leads are filtered out rather than booked.

Why it works

  • Speed is the whole game. Calling within 30 seconds of a trigger yields around a 20% pick-up rate, against 5 to 8% for a callback hours later. No human team can hit that window at every hour.
  • Consistency beats improvisation on qualification. Every lead gets asked the same criteria in the same order, so your scoring is comparable rather than dependent on which rep picked up.
  • Reps close better than they qualify. Removing qualification from their day is usually worth more than adding headcount to it.
  • Warm outbound is legally and commercially different from cold. Calling someone who just submitted a form sits on far firmer consent footing, and converts far better.
  • A dormant database is free pipeline. Reactivation calls against leads nobody has touched in a year cost nothing to attempt and routinely surface live opportunities.

What the call sounds like

Nina · sample transcript
Nina

Hi, is this Daniel? This is Nina calling from Northwind, I'm an AI assistant. You just booked a demo with us, do you have two minutes so I can make sure we send the right person?

Customer

Sure, go ahead.

Nina

Thanks. Roughly how many people are on the team that would use this?

Customer

About forty right now, but we're hiring.

Nina

Got it. And what are you using today to handle it?

Customer

A mix of spreadsheets and a fairly old CRM we're trying to get off.

Nina

That's helpful. Is the migration something you're looking at this quarter, or further out?

Customer

This quarter ideally. Budget's approved, we just haven't picked anything.

Nina

Perfect, that's exactly what our team needs to know. You're booked with Priya on Thursday at 2pm, and I'll text you the confirmation now. She'll have all of this ahead of the call so you won't need to repeat it.

What it delivers

< 30 sec
from form fill to first call
20%
pick-up vs 5-8% on delayed callbacks
2 min
average qualification call

Frequently asked

Is this an AI SDR for cold outbound?

No, and we would rather say so plainly. Callsy is built for warm outbound: inbound form fills, booked demos, lapsed databases, and no-show follow-up. Cold calling purchased lists is a different product shape and a different legal position. If that is your motion, tools built specifically for cold outbound will serve you better.

How does an AI SDR compare to hiring a human SDR?

The AI wins decisively on speed, coverage, and consistency: it calls in under 30 seconds at any hour and asks identical questions every time. A human wins on complex discovery, relationship building, and reading a room. Most teams that get this right use the AI for first-touch qualification and put humans on everything downstream of it.

What qualification criteria can it use?

Whatever you define. Common ones are company size, current tooling, budget range, timeline, decision-making role, and the specific problem they are trying to solve. It asks conversationally and adapts follow-up questions based on the answers rather than reading a fixed list.

Does it book straight into our calendar?

Yes. It books into the right rep's calendar based on your routing rules, sends an SMS confirmation, and writes the transcript, the qualification answers, and a lead score into your CRM before the rep sees the meeting.

What about leads it disqualifies?

They do not get booked, which is the point. A meeting with an unqualified lead costs a rep half an hour plus the context switch. Disqualified leads are tagged with the reason so you can see what your inbound is actually made of, and route them to nurture instead.

Can it reactivate an old lead database?

Yes, and it is often the fastest return. Lists of leads nobody has worked in six or twelve months cost nothing to attempt at scale, and a meaningful share are back in market without anyone knowing. Consent and suppression rules still apply, so check the list's provenance first.

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