Use case
AI support on cold calls
The brush-off is the call. Everything else is the reward.
The short answer
On a cold call the reply to the first brush-off decides the outcome. Axelize has already researched the account, so the moment the prospect pushes back it writes a second sentence that references their business specifically, which a memorised opener cannot do.
The moment
'Not interested.' You have one sentence to earn the next thirty seconds, and the memorised one has stopped working.
What that looks like
On a cold call call, Grady Archie from Woodgrove Bank says: “Not interested, thanks.” Axelize finds: Woodgrove Bank opened a Denver office in August and is hiring six account executives for it. It suggests: “Totally fair. One question before I let you go: you're hiring six reps for Denver, so are they ramping on your current playbook or a new one?” Accepts the brush-off, then asks one question about their business that is easier to answer than to hang up on.
What Axelize does
-
The account is pre-loaded
Research runs before the call, so nothing is being fetched while the prospect waits.
-
The brush-off is answered
With one specific, non-generic sentence about their situation.
-
The ask is made
A concrete next step, phrased as a question with a time in it.
Frequently asked questions
- Does this work at cold-calling volume?
- Yes. Accounts are prepared in advance in bulk, so the twentieth call has the same research behind it as the first.