# How did Zembl use AI agents to raise sales conversion?

> Zembl, an Australian business energy consultant, built a 24/7 AI agent workforce with Relevance AI across sales, marketing, and operations to handle rising inbound leads and after-hours inquiries. Zembl reports a 30% increase in overall customer conversion without adding headcount.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** Zembl (energy brokerage / consultancy)
- **Industry:** Telecom & Energy Utilities — Business energy comparison (Australia)
- **Roles:** Sales Development (SDR), Sales Ops & Quoting
- **Tools:** AI agents (Relevance AI)
- **Status:** production · **Agent pattern:** multi-agent · **Autonomy:** 2/4
- **Last verified:** 2026-10-17

## Reported outcomes
- customer conversion: 30% increase without adding headcount [1] (self-reported)

## How it works
1. Agents respond to inbound leads, including after hours and weekends.
2. Agents take on sales and operations admin to save rep time.

## Risks & compliance
- Outbound messaging compliance (spam, consent rules)
- Vendor-published results; not independently audited

## Sources
1. Relevance AI, "Zembl built a 24/7 AI sales workforce — and grew customer conversion by 30% without adding headcount" (undated; accessed 2026-10-17) <https://relevanceai.com/customers/zembl>
   > "we’ve seen a 30% increase in overall customer conversion."

Canonical: https://agentcasefile.com/cases/zembl-relevance-ai-sales-workforce/ · License: CC BY 4.0 (summary) · Source: Agent Casefile