Agentic Pipeline Layer for Frontrunners

Frontrunners had a solid pipeline and a large candidate database, but the layer between them was entirely manual. Matching, enriching, and routing candidates to the right opportunities required constant human input. The team was spending hours on work that should take seconds.

We built an agentic AI system using Claude and n8n that sits on top of their existing database. When a new brief comes in, the agent automatically searches the database, scores candidates against the brief, enriches profiles with up-to-date data via Clay, and surfaces a ranked shortlist, ready for human review. The agent handles the work; the consultants handle the judgement.

The time between receiving a brief and producing a qualified shortlist dropped from days to under an hour. Consultants now spend their time on conversations, not coordination. The database, previously an asset they struggled to activate, became a competitive advantage.