Problem
Recruiting teams lose candidates in the gap between application and first human conversation. A screening bot fixes the speed problem and creates a new one: answers drift out of date, breakages go unnoticed, and the conversation data nobody looks at is where the actual insight is.
System
A chat widget backed by a screening agent that answers role and process questions from an ingested knowledge base, captures screening answers into a structured pipeline, and hands off to a recruiter with the transcript. Nurture sequences re-engage candidates who go quiet. An insights layer turns conversation data into what recruiters can act on: where candidates drop off, which questions the knowledge base can’t answer, which roles generate the most confusion.
Worth knowing
The project is scoped around ownership after launch, not just the build: the “unanswerable questions” report exists so someone can keep the knowledge base accurate, and the whole system runs on local stand-ins so it can be regression-tested without spending on a model. That’s the shape of the Systems Partner retainer on this site, built as software.