The Enterprise Playbook for Evaluating Voice AI in Hiring

Every HR tech vendor is racing to ship a voice AI interview agent. The question isn't whether to adopt one - it's how to tell a production-ready tool from a polished demo.

Traditional vendor selection criteria don't cut it here. Integrations, pricing, and UI won't tell you whether the agent produces reliable scores, handles interruptions gracefully, or holds up under regulatory scrutiny. A bad AI interviewer creates legal exposure, damages your employer brand, and produces hiring data you can't trust.

This framework gives you a structured, science-backed methodology to evaluate any voice AI interview solution. It covers 11 criteria across two dimensions: Technical Performance (how the agent sounds, responds, and handles real-world conditions) and Assessment Science (how it scores, explains, and complies with regulations like the EU AI Act and NYC Local Law 144).

Each criterion includes a clear rationale, a concrete testing protocol your team can execute in-house, and observable indicators to anchor your evaluation. The weighted scoring template at the end lets you customize the assessment to your organization's priorities across HR, Risk, and Compliance stakeholders.

Built for TA leaders running competitive bake-offs, validating a vendor already in the pipeline, or responding to internal pressure to adopt AI - fast.

‍