Purpose
The questions that come up in every serious evaluation, answered directly.Why not just use our ATS's built-in AI?
Why not just use our ATS's built-in AI?
ATS AI is built to move candidates through a pipeline, not to evaluate them to your bar. Exterview adds org-specific, reproducible evaluation and a post-hire loop on top of the ATS you already run, the two are complementary.
Will this lock us in?
Will this lock us in?
Exterview layers above your stack and integrates through standard connectors.
Your data is yours, exportable, and specific to your organization. The value
that accrues, your calibration, belongs to you.
How do you prevent bias?
How do you prevent bias?
Role-relevant rubrics applied consistently, content-based scoring (not face,
tone, or biometrics), explainable results, and mandatory human review. See
Responsible AI.
Does the AI make the hiring decision?
Does the AI make the hiring decision?
No. Exterview produces decision support; a human always owns the outcome. No
fully autonomous adverse decision is made.
Why not build this in-house?
Why not build this in-house?
You can build a prompt; the hard part is reproducible, versioned, per-customer
calibration plus a closed post-hire loop, a set of specialized agents, and
compliance, sustained over time. That’s the system Exterview is.
What about our data?
What about our data?
Specific to your organization, encrypted, and never pooled into a shared model
or sold. Configurable retention policies are still being finalized. See
Privacy & Residency.
How is this different from a skills graph?
How is this different from a skills graph?
A skills graph is one static model served to everyone. Exterview calibrates to your organization and compounds with your outcomes, the advantage is yours, not the vendor’s.
Related
Why Exterview
The category and the thesis behind Exterview.
How We're Different
The pillars behind the answers above.