Client
Three-partner recruiting agency, United States
Engagement
AI business development engine
Team
Jellie team embedded with the founding partners
Timeline
From concept to qualified conversations
The starting point
A 3-partner recruiting firm was spending too much time on business development.
Partners were manually finding prospects, handling inbound requests, pitching candidates, asking for referrals, and following up with past clients.
They wanted to automate as much of that work as possible without adding SDRs or handing the process over to an outside team.
What we built
An AI SDR system, built around the agency’s actual workflow
We mapped how the firm found and qualified opportunities, and what had to happen before a prospect was worth a partner's time.
We then built a set of agents to handle those steps.
Signal-driven prospecting
The system monitors relevant hiring and company signals, identifies potential clients, and prioritizes companies to contact.
Inbound qualification
Inbound requests are researched and qualified before reaching a partner, with the relevant context attached.
Candidate-led outreach
The system identifies companies and decision-makers that may be relevant for strong candidates in the firm's database and uses those candidates to start conversations.
A workflow the partners could steer
The agents handle research, outreach, follow-ups, and initial qualification. Partners control targeting and messaging and take over when a conversation is ready.
The outcome
The firm moved from manually managing business development across the three partners to a consistent pipeline of qualified conversations.
7–9 calls booked per week, with partners focused on the calls rather than the work required to generate them.
The agents handle research, outreach, follow-ups, and initial qualification. Partners control targeting and messaging and take over when a conversation is ready.