Structured AI interviews for public sector hiring

Public hiring has to be fair, defensible, and accountable, at volume

Public sector teams face high application volumes for essential roles, seasonal peaks like summer recruitment across care and community services, strict fairness and equal-treatment requirements, tight budgets, and the expectation that every decision can be justified in an audit. Manual screening struggles on all of these at once: it is slow, inconsistent between reviewers, hard to document, and expensive in staff time that taxpayers ultimately fund. Good candidates are lost to faster-moving employers while a role sits in review.

Hubert gives every applicant the same structured interview, assessed against the same criteria, with every score tied to a specific answer. Candidates complete it by text or voice, on their phone, in their language. The process is fair by design, documented by default, and faster because consistency removes the bottleneck. It is also how public employers build a more equitable labor market: every applicant is judged on competence rather than connections or CV polish. Talent over privilege.