Trust

AI shows its work. Your team stays in charge.

Aivident puts AI into decisions about people's working lives. This page says exactly how its output stays reviewable today — and we'll tell you plainly where something isn't in place yet.

What the product does today

Reviewable by design. Not by apology.

01

Evidence attached

Scores come with the evidence behind them.

CV and interview scores are stored with per-criterion evidence and the reasoning for each score. Exit-interview themes keep a quote only if it appears word for word in the transcript.

02

Your team sets the rules

Thresholds and bulk actions are set and started by people.

Pass marks, shortlists and bulk decisions are configured and run by your team, with a preview first. Each decision records whether it came from the AI or a person, and overrides are logged with the AI's original score.

03

Access follows the role

Access is set by role and permission in your organisation.

Owners, admins, hiring managers, recruiters and viewers get different permissions, and data is scoped to your company. Individual exit-interview results are limited to administrators, and every access is logged.

04

Retention you control

You decide how long candidate data is kept.

When the period ends, records are anonymised and their media deleted, with an audit log. Candidates can file data-rights requests, and the form builder flags sensitive fields such as religion or marital status.

When the evidence isn't there

No evidence, no verdict.

The riskiest AI output is the one that sounds sure without a reason to be. These are the places where Aivident stops and hands back to a person.

  • Stop

    Too little to go on

    Exit-interview analysis reports insufficient data instead of inventing themes.

  • Stop

    Missing evidence

    Skills assessments give no level and ask a person to reassess.

  • Stop

    Uncertain match

    Possible duplicate candidates go to a person to confirm.

Security and procurement reviews

Ask us in writing. We'll answer in writing.

Send your questionnaire or the questions your team needs answered. We'll walk through how the modules you're considering handle data, access and review — and tell you plainly where something isn't in place yet.