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Grade BproductionSource date Oct 17, 2026· Last verified Oct 17, 2026

How did Zembl use AI agents to raise sales conversion?

Zembl · Telecom & Energy Utilities

Header image: A solar farm seen from directly above

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.

Reported outcomes

customer conversion
30% increase without adding headcount
Source [1] · self-reported

Outcomes are reported exactly as stated by the source; we have not independently audited them.

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
Build this yourself

Tools mentioned & how to build it

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Tools mentioned

  • Relevance AI (Relevance AI)
    Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.

Build a version yourself

  • Zapier
    The default app-to-app automation layer, now with AI agents and AI steps.
  • Lindy
    No-code AI agents for inbox, scheduling and sales admin.
  • Close
    Sales CRM with built-in calling and email for inside-sales teams.

All tools by category →

Sources

[1]Relevance AI· vendor customer story· Undated (accessed Oct 17, 2026)
“we’ve seen a 30% increase in overall customer conversion.”
Zembl built a 24/7 AI sales workforce — and grew customer conversion by 30% without adding headcount

Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 1/1 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.

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