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

How did SafetyCulture triple meetings booked with an AI BDR agent?

SafetyCulture · Software, Internet & Media

Header image: A team discussing ideas at a whiteboard with laptops

SafetyCulture (75,000+ customers) deployed a Relevance AI agent that answers customer questions and books meetings on autopilot. Relevance AI reports a 3x increase in meetings booked, an 83% reduction in cost per meeting, and a 200% increase in qualified opportunities.

Reported outcomes

meetings booked
3x increase
Source [1] · self-reported
cost per meeting
83% reduction
Source [1] · self-reported
qualified opportunities
200% increase
Source [1] · self-reported

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

How it works

  1. AI agent trained on SafetyCulture processes and knowledge base.
  2. Answers inbound questions and books meetings for sales.

Risks & compliance

  • Outbound messaging compliance (spam, consent rules)
  • Vendor-published results; not independently audited
Build this yourself

Tools mentioned & how to build it

Disclosure: Some links may earn us a commission; it never affects grades. Tools are listed by fit to this case, never by payment.

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

  • Lindy
    No-code AI agents for inbox, scheduling and sales admin.
  • n8n
    Open-source workflow automation with AI agent nodes; self-host or cloud.
  • HubSpot (Breeze agents)
    SMB-friendly CRM with Breeze AI agents for prospecting and support.

All tools by category →

Sources

[1]Relevance AI· vendor customer story· Undated (accessed Oct 17, 2026)
“83% reduction in cost per meeting”
SafetyCulture recruited an AI Agent and 3x'd meetings

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 3/3 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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