Zembl built a 24/7 AI sales workforce — and grew customer conversion by 30% without adding headcount

How Zembl, an Australian energy consultant, used Relevance AI to build a 24/7 AI agent workforce that automated lead research, closed the after-hours gap, and drove a 30% increase in customer conversion. They chose to build — and ended up with something neither option had promised: an AI agent workforce that now operates across their sales, marketing, and operations teams around the clock. “We were approving everything, like every email that was going out to all the leads at first, we would feed Toni five leads a day for the first week, then the following week it was 10 leads and there was 15 leads.

Agent or tool: Relevance AI
Topic: Customer Support
Reported on: Case study (Relevance AI)
Added: 2026-11-11

Why it matters

Support is repetitive and time-sensitive. Agents can draft answers, look things up and handle simple requests, so people can focus on the tricky ones. It is one of 554 sightings filed under Customer Support on Agent Sightings (number 193 by interest), and one of 6 involving Relevance AI.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Relevance AI or any similar agent and adjust the details to your situation.

I want an agent to handle routine customer questions end to end, and pass anything unclear to a person. The tool in the source case was Relevance AI.

Saved

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Case study (Relevance AI): https://relevanceai.com/customers/zembl. Our summary is a paraphrase; details are in the source.

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