Reviewed drafts
It proposes situations or criteria that must be checked against the real role.
AI in hiring with human-supervised decisions
At BUSCOS, AI can help prepare situations, organize information and suggest follow-up questions. It does not score, rank or recommend candidates, and it does not decide who advances or is rejected.
BUSCOS
AI support
Human decision
AI support
AI prepares material; a person interprets and decides
Every output should remain connected to the scenario, original answer and criteria behind the suggested follow-up.
Prepare
Draft situations and criteria that a person reviews before use.
Organize
Qualitative summaries, descriptive signals and doubts linked to the original answer.
Decide
The team contrasts, interviews and keeps responsibility for every decision.
What it can do
Support preparation and reading without replacing professional judgement
AI can accelerate drafts, locate relevant passages and suggest questions. These outputs are reviewed and treated as descriptive support, not as truth about the person.
Traceable summary
It summarizes without hiding the original answer or its context.
Follow-up questions
It turns observable doubts into questions for a human conversation.
What it does not do
No automatic score, ranking or recommendation
BUSCOS does not use an AI output to decide who is hired, rejected or placed in a particular position on a shortlist.
No final grade
Descriptive signals do not become one overall score.
No automatic ordering
The tool does not generate a candidate ranking for the client.
No personal inference
An answer is not used to diagnose personality, emotion or intention.
Human controls
Review before, during and after AI use
A person validates the situation and criteria before inviting candidates. They then check outputs against the original answer, add context and decide what deserves a follow-up question.
Before
Review relevance, clarity, required effort and connection to the role.
During
Keep the answer available so every synthesis can be verified.
After
The interview adds context and the responsible team makes the decision.
Responsible use
Transparency, minimization and traceability are part of the method
Each deployment should define purpose, necessary data, authorized access, retention and review routes. The exact legal scope depends on the use case and should be validated for each organization.
Limited purpose
Only data needed to prepare role evidence and conversation should be collected.
Controlled access
Answers are shown to authorized people inside the relevant process.
Case review
Configuration should be reviewed when the role, process or intended use changes.
Reference framework
Rules to review for each deployment
These sources help design controls but do not replace legal review of the concrete use case.
Supervision should be demonstrable in the real process
The demo shows what AI proposes, what a person reviews, which evidence remains accessible and who retains the decision.