What are structured AI interviews?
Structured AI interviews ask every candidate the same planned questions against one rubric, which makes results comparable and defensible. GAIA runs the structure, asks controlled follow-up questions, captures the transcript as evidence, and routes each result to a human reviewer for the final call.
Structure does not mean robotic
Structure does not mean robotic, because a good structured interview asks comparable questions and scores comparable evidence while still allowing follow-ups. GAIA stays inside the plan yet probes further when a candidate answer is incomplete or unusually strong, so consistency never costs the conversation its depth.
GAIA uses the interview plan as a boundary: same competency map, same scoring anchors, and controlled probes that seek evidence without drifting into unrelated topics.
Why teams use structured AI interviews
Teams use structured AI interviews to cut the variance that manual first-round screens carry, because human interviews often shift with interviewer energy, calendar pressure, and unconscious preference. GAIA holds every candidate to the same rubric, which is the consistency behind the predictive validity of structured interviewing.
Structured AI interviews reduce that variance. Recruiters get comparable reports, hiring managers see the underlying quotes, and candidates receive a clearer process.
Audit-ready by design
Structured AI interviews are audit-ready by design, because each score links back to transcript evidence that a reviewer can inspect. Intrvio preserves that link so a hiring team can challenge, calibrate, or override the AI output, and the trail supports KVKK Article 10 and Article 11 transparency obligations.
That audit trail matters for internal fairness reviews and for regulated hiring environments where employers need to explain how AI was used.