Build Your AI-Powered Hiring Pipeline in 5 Steps

From configuring job boards to deploying bias-aware AI screening in under 15 minutes.

Each vector runs its own dedicated check: Name (ethnic/gender patterns), Location (socioeconomic signals tied to geography), Education (prestige comparison), Career Gap (parental leave, military, caregiving detection), and Age (implicit age signals such as graduation-year math). If detected, the severity (low/medium/high) and a guidance note ("Focus on qualifications, not name") are surfaced to the recruiter. High-severity flags trigger ethics review workflows.

Candidates upload video directly via a secure, time-limited link — no server proxy needed. Playback uses a separate secure link with its own expiration. Audio is transcribed automatically and scored for sentiment (positive/neutral/negative).

When you mark a candidate as hired, Aeion Recruit and Aeion HR automatically exchange the record — no manual export or sync step. Candidate data (name, email, location) maps directly to employee fields, which immediately triggers payroll setup and IT provisioning workflows. Zero manual data entry.

Yes. In Recruit > Settings > AI Screening, you can set severity thresholds for each bias vector. By default, all severity levels are flagged. You can set to "medium and high only" or "high only" to reduce noise. The guidance note is always shown regardless of threshold.

Syndication tracks each posting by job and publish date to detect duplicates. When republishing, it checks whether a listing already exists on each board and updates it rather than creating a new one. Board-specific listing IDs are stored so updates land on the right posting.

An automated weekly check scans for candidates who've passed their retention window (default: 2 years / 730 days). Expired candidates are hard-deleted, including related applications, interviews, and scorecards. Anonymous aggregate counts (funnel analytics) are preserved. Before deletion, you can generate a data export (JSON/PDF) for compliance records.

Matching analyzes three dimensions: Skill Match (technical + soft skills vs. requirements), Experience Match (years, relevance, industry overlap), and Culture Fit (work style alignment). Each dimension scores 0-100. The overall score is a weighted average. Recommendations range from "strong match" (85-100) to "no match" (0-24).

Yes. The AI engine is configurable in Platform > AI Settings, and any registered provider (OpenAI, Anthropic, Google AI, Groq) works. If AI is temporarily unavailable, screening falls back to rule-based keyword matching so hiring never stalls.

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