The 4x playbook: how AI agents rebuilt one client's outbound

A B2B logistics client came to us with a familiar story: two SDRs, two hundred cold messages a day, a 1.4 percent reply rate and eight booked calls a month. Ninety days later, with the same two people and the same offer, they were booking 34.

Nothing about the pitch changed. Everything about the process did.

Step 1: Stop buying lists

We replaced purchased lead lists with AI prospecting that watches live signals on LinkedIn: companies hiring operations roles, opening new routes or mentioning capacity problems. The result is a smaller list of people with a reason to reply this month.

Step 2: Research every prospect, automatically

An enrichment agent reads each company's site, news and hiring pages, then writes a three-line brief: what they do, what is changing, why our client is relevant. Twenty seconds of machine time replacing twenty minutes of human time, hundreds of times a day.

Step 3: Personalise like a human, at machine scale

The test we use: would the prospect believe a person wrote this after reading their profile? If not, it does not ship.

Reply rate on the new sequences: 11.8 percent. Not because of magic words, but because every message demonstrably knew who it was talking to.

Step 4: Never drop a warm reply

Interested replies got instant, context-aware responses and a calendar link. Objections were routed to a human with the full thread summarised. Speed-to-lead went from hours to seconds, and that alone accounted for a third of the improvement.

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