Automate your call list checks with an AI agent

Qualifying the list before it hits the dialer

Give a companion the import file and your bar.

It opens each company, checks whether they are trading, whether the business type matches, whether the number on the site agrees with the file, and whether the contact named is still there.

Every bad row costs a real conversation slot. An hour of checking upstream buys back several hours of dial time.

• Numbers cross-checked against the company’s own site rather than trusted from the file.
• Companies that have closed, merged or been acquired flagged before anyone calls them.
• Rejected rows listed with the reason, so the source of the bad list can be fixed.

What happens to the “call back Tuesday” pile?

It grows, because later is administered by nobody.

What would prioritise it is not in the call log: it is whether anything changed at the company since the conversation.

A companion walks the whole pile, checks each account for a public change, and returns the ten worth putting back into a campaign this week with a line explaining why. The reactivation pattern is in automate trial user outreach.

The parts that stay in Adversus

Dialling strategy, agent scripting, compliance with local calling rules and the recording estate. Those are the dialer’s territory and they belong there.

The work worth handing over is the work nobody is doing: list validation, the callback pile, and the write-up where a call outcome becomes a note and a task in whichever CRM you also run. Every write waits for you.

Why did the connect rate drop four points?

A companion pulls the campaign’s outcomes, then samples the failed rows and looks at what those companies have in common. Same region, same list source, same industry that stopped answering phones.

That is a claim you can argue with, and it arrives the week the number moved. The same loop applied to marketing numbers is in marketing.

Frequently asked questions