White paper: Hiring Graph and context enrichment
The Hiring Graph, context enrichment and the Dynamic Fit Score explained without jargon: how your accept and reject decisions, your scorecards and your past hires make the ranking more accurate with every hunt.
What happens between your need and the ranking.
Written for a TA team that has to explain the tool to its leadership and its DPO.
The Hiring Graph
The memory of your hiring: roles, criteria, profiles accepted and rejected, and the links between them.
Context enrichment
How the accumulated context is structured and provided to the model at each ranking, without retraining any model.
Dynamic Fit Score vs. keywords
Why a score explained criterion by criterion ranks better than a Boolean search.
What the system does not do
It does not decide, it contacts no one without approval, it does not replace the interview.
You get asked how AI ranks candidates.
- Head of Talent Acquisition evaluating AI tools
- HR director who has to answer their DPO and leadership
- Team that wants to understand before buying
See the system calibrate itself on one of your roles.
30 minutes live: the scorecard, the first ranked profiles, and the ranking adjusting to your decisions.
Your next hire is one reply away.
Bring the role. First candidates in 10 minutes. Your tools, your rules, your call.
