otomations
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CoachesElevated Collective

13 to 17 qualified meetings booked every month by one chat agent

Elevated Collective sells leadership and skill-building programs, e-learning, and consulting. Their buyers arrive with real questions, and before Maya, those conversations ended wherever the inbox did.

13 to 17

meetings booked per month

$25k

average deal size

Maya, Elevated Collective's AI assistant, greeting a visitor in the live chat widget on elevatedcollective.com

Built and documented by Milos Vranes, founder of Otomations.

The problem: qualified buyers with no path to a meeting

Interest was never the issue. Prospects landed on the site, read the programs, and reached out, then fell through the cracks. With no booking system in place, every conversation depended on a human noticing it, replying in time, and proposing a slot. For deals worth $25,000 on average, each dropped thread was expensive.

The system: Maya, a chat agent that closes the loop

Maya lives on elevatedcollective.com as a branded chat agent trained on the organization's own programs and offers. She answers questions in the brand's voice, qualifies interest as the conversation unfolds, and books qualified buyers straight into the calendar, at any hour, without a handoff gap.

Under the hood it is Claude for the reasoning, retrieval over Elevated Collective's real content so answers stay grounded, and a Node.js service hosted on Railway. The team gets each conversation with full context, so a booked meeting starts warm.

The numbers

Maya books 13 to 17 qualified meetings a month into a pipeline with an average deal size of $25,000. The conversations that used to evaporate now show up on the calendar.

Claude · RAG retrieval · Node.js · Railway

The next hire can wait. The next system cannot.

Twenty minutes, one bottleneck, one workflow scoped. That is the whole first call.