I put out the call for the top 1% who’ve made AI agents work and seen real GTM impact. Enter Hamish Grant and the GTM engineering team at SafetyCulture, a global platform that helps frontline teams find a better way to work.

The impact so far:

- Near-100% lead enrichment coverage

- 2x increase in opportunities created

- 3x increase in meeting booking rates from AI-powered outbound

- 10% lift in feature adoption

The top four AI agent use cases at SafetyCulture ⤵️

1. AI-powered lead enrichment

Built an AI-powered lead enrichment that’s platform-agnostic, calling five providers in parallel. This eliminated hundreds of hours of manual research & increased enrichment to near-100% coverage.

2. The AI Auto BDR

Trained an AI inbound BDR to handle (1) personalized outreach sequences, (2) knowledge base powered responses, and (3) meeting booking, synced with AE calendars. Saw a 3x increase in meeting booking rate & a 2x increase in opportunities created.

3. AI lifecycle personalization

The AI Auto BDR already personalizes outreach sequences. SafetyCulture wanted to take this a step further with a feature recommender that suggests adjacent use cases based on peer behavior. This led to +10% adoption of new features, improved retention via deeper usage.

4. AI custom app layer for marketing and sales

Replaced necessary (but clunky) GTM systems with an AI-first interface that’s one pane of glass for all customer information and the next-best-action to be taken. Over 80% of the marketing and sales team are active users of the custom app layer. BDRs save 30 minutes per opportunity with automated hand-offs.

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AI adoption is more than just rolling out ChatGPT across the team. And we’re still in the early stages of finding out what’s possible. I’m excited to keep following along.