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For university admissions worldwide
Interview every
Interview every
applicant. Fairly.
Consistently. At scale.
Interviewer.AI conducts natural, avatar-led admissions interviews with every applicant — then gives your admissions team structured scorecards, recordings and explainable recommendations. Your team makes every decision. The AI just makes it possible to interview everyone.
30-minute walkthrough with your intake data · No procurement commitment
✓ GDPR & regional privacy compliant
✓ Human review on every decision
✓ Regional data residency options
✓ Full audit trail
300,000+
Interviews analyzed across admissions and hiring
80%
Less screening workload for admissions teams
Days, not weeks
From application to interview-informed decision
4.4/5
Average applicant rating of the interview experience
The admissions reality
Your intake grew. Your interview capacity didn’t.
International applications keep rising, offer deadlines keep tightening, and every panel interview costs academic hours you don’t have. Something has to give — and it’s usually consistency.
📅
Scheduling thousands of interviews
Coordinating panels with applicants across every time zone — South Asia, China, Africa, Southeast Asia — during teaching weeks.
⚖️
Inconsistent interviewing
Different interviewers, different questions, different standards. Two identical applicants can receive very different assessments.
👥
Peak-intake bottlenecks
Fall, spring and rolling intakes compress months of interviews into weeks, with limited staff and mounting fatigue.
📝
Unstructured notes
Handwritten impressions and inconsistent records make decisions hard to compare, moderate — or defend if challenged.
🐢
Slow offer turnaround
While your panels work through the backlog, competing institutions have already made offers to your strongest applicants.
🚪
Applicants you never meet
When you can’t interview everyone, decisions default to grades and personal statements — and genuine potential slips through.
Where we work
One platform. Every admissions market.
Trusted by universities that attract thousands of international applicants each year, Interviewer.AI helps admissions teams conduct AI interviews at scale—making it easier to identify the strongest candidates from anywhere in the world.
How it works
From invitation to decision, in five steps
1
Invite
Applicants receive a branded interview invitation — no scheduling, no time-zone maths.
2
Interview
They complete a natural, spoken conversation with an AI avatar, anytime, on any device.
3
Evaluate
Responses are scored against your rubric — communication, motivation, course fit and more.
4
Review
Your team reviews recordings, transcripts and structured scorecards, together.
5
Decide
Admissions decisions are made by your people — faster, and with evidence behind them.
See it with your own rubric — book a demo
We’ll configure a live interview for one of your programs before the call.
The avatar interview
A real conversation, not a form with a camera
This is not a one-way video questionnaire. Applicants speak naturally with an AI interviewer that asks your questions, listens, and follows up — a guided conversation, not a recording booth.
- ✓Students speak, they don’t type.No forms, no essays-by-webcam. A spoken interview that surfaces how applicants actually think and communicate.
- ✓Every applicant gets the same interview.Same questions, same standard, same opportunity — whether they apply first or five-thousandth.
- ✓Works where your applicants are.Mobile-first design with 90%+ completion rates in mobile-heavy regions. No laptop or broadband required.
- ✓Less intimidating than a panel.Applicants report lower anxiety interviewing with an avatar on their own schedule — a better first impression of your institution.
Sophia is listening“Tell me about a problem you solved that you’re proud of.”
Natural follow-up questions, in real time
Richard is speaking…
Explainable AI Scorecard
Communication8.6
Motivation9.1
Course fit7.8
Critical thinking8.2
AUAmazing
University
University
AI Interview
Assessment Report
Assessment Report
Sandra Martin
Interview for
MSc Data Science — Fall intake
82%Overall Suitability Score
Assessment date · 14 Mar 2026, 17:25
AUAmazing
University
University
Academic Readiness
78 / 100Sandra scores 78 out of 100 on academic readiness. Strong quantitative background and a clearly articulated study plan; English proficiency is solid with room to grow in academic writing contexts.
| Criterion | Score | Comment |
|---|---|---|
| Programme fit | 85 | Undergraduate statistics major with two data-focused projects; goals align with the program’s ML pathway. |
| Academic background | 90 | Consistent first-class results in quantitative modules; strong foundation for postgraduate study. |
| English proficiency | 72 | Fluent and clearly understandable; occasional grammatical slips that do not impede communication. |
| Prior preparation | 68 | Some exposure to Python and SQL; limited discussion of formal research methods experience. |
AUAmazing
University
University
AI Avatar Interview
81 / 100Sandra gave structured, relevant answers about her background and motivation for postgraduate study. She used a concrete independent-project example to demonstrate analytical thinking, and communicated career goals clearly.
✓ Recommended for offer reviewStrengths
- Response relevancy: answers directly addressed each question with specific, verifiable examples.
- Motivation: articulated a clear reason for choosing this program and how it connects to her goals.
- Self-awareness: reflected honestly on gaps in her statistics preparation and how she plans to close them.
Areas to probe in review
- Depth of technical detail: tools and methods were named but not always explained — see transcript, 06:12.
- Pacing: occasional rushed delivery on follow-up questions.
AUAmazing
University
University
Communication Skills
Weight: 20%Overall communication ability, scored against the university’s rubric with evidence from the transcript.
| Criterion | Score | Explanation |
|---|---|---|
| Clarity | 84 | Ideas expressed in complete, well-ordered sentences; main points easy to follow throughout. |
| Articulation | 79 | Clear enunciation overall, with slightly rushed delivery on two follow-up answers. |
| English proficiency | 88 | Fluent, idiomatic English with appropriate academic vocabulary. |
| Coherence | 82 | Answers followed a logical structure — context, example, outcome — across all questions. |
AUAmazing
University
University
Admissions Team Review
Decision: yoursThe AI recommends; your team decides. Every score above links to timestamps in the recording and transcript, so reviewers verify rather than trust.
Why this recommendation
Articulated a specific research interest aligned with the program’s ML pathway; gave a concrete example of independent project work; clear, structured spoken answers. Flagged for reviewer: limited discussion of statistics background — see transcript, 06:12.
▶ Watch recording
Read transcript
Add to shortlist
Assign reviewer
Full report includes recording, complete transcript, and per-competency evidence. Sample data — Sandra Martin and Amazing University are illustrative.
Explainable evaluation
Every score comes with its reasoning attached
No black boxes. Every interview produces a full recording, a transcript, and competency scores against a rubric your academics define — with plain-English reasoning your team can interrogate, override, and stand behind in front of any committee.
- ✓Your rubric, not ours.Programme teams set the competencies and weightings. The AI applies them identically to every applicant.
- ✓Evidence, not verdicts.Scores link to timestamps in the recording, so reviewers verify rather than trust.
- ✓Built for committees.Shortlisting, shared notes and reviewer assignment keep faculty in the loop without more meetings.
Why universities switch
The same rigour. Without the bottleneck.
Panel-only interviews
What you have today
- ✕ Weeks of scheduling across time zones
- ✕ Different questions from different interviewers
- ✕ Subjective notes that are hard to moderate
- ✕ Academic hours consumed during term time
- ✕ Only a fraction of applicants ever interviewed
- ✕ Cost per interview rises with every applicant
With Interviewer.AI
AI-led interviews, human-led decisions
- ✓ Available to every applicant, 24/7, any device
- ✓ Identical structured interview for all candidates
- ✓ Scorecards, transcripts and recordings on file
- ✓ Faculty review only the candidates who matter
- ✓ Offers out in days, ahead of competing institutions
- ✓ Fixed, predictable cost per intake
The applicant’s side
Sit the interview your applicants will sit
The fastest way to evaluate us isn’t a slide deck — it’s five minutes in your applicants’ seat. Take the exact interview journey a prospective student sees, avatar and all, before you ever speak to sales.
No scheduling
Any device
Friendly AI interviewer
Clear instructions
Complete anytime
Try the student interview
Takes about 5 minutes · Nothing is scored or stored
“I was nervous about an AI interview, but it felt more like a guided conversation than an exam. I could do it after work, in my own time, and actually show who I am beyond my grades.”
Postgraduate applicant, mock interview program · average applicant rating 4.4/5
Trust, compliance & data security
Ready for your procurement and privacy review
Built to pass the scrutiny of university governance in every region we serve — before you ask. Your privacy officer, IT security and admissions governance teams get the documentation they need, up front.
🌍 Global privacy compliance
Aligned with GDPR and UK GDPR, the Australian Privacy Act, Singapore’s PDPA and Hong Kong’s PDPO, with FERPA-aware handling for US institutions. Signed DPA and impact-assessment support as standard.
🔐 Enterprise-grade security
Encryption in transit and at rest, role-based access control, SSO, and regular independent penetration testing.
📋 Complete audit trail
Every interview, score, review and decision is logged — evidence you can produce for internal audit or external challenge.
🎓 Academic integrity
Identity verification and behavioural fraud signals help detect proxy candidates and scripted, AI-generated answers.
🏛️ Your data, your rules
The university owns all applicant data, retention schedules, and deletion policies, with regional data residency options across the US, EU, Australia and Singapore.
👤 Human oversight, always
The AI recommends; it never decides. Every admissions outcome is made and owned by your team — by design.
Connects to the systems you already run — via REST API, webhooks, secure file transfer and SSO
SlateEllucian BannerPeopleSoftSalesforceTribal SITSStudyLinkSSO & Custom API
Questions deans ask us
Direct answers, no hedging
Will AI replace our admissions team?
No — and we’d be suspicious of any vendor who implies otherwise. Interviewer.AI conducts and structures the interviews; your team reviews the evidence and makes every decision. The practical effect is the opposite of replacement: your staff spend less time scheduling and note-taking, and more time on the judgement calls that actually require them.
Can we use our own rubric and questions?
Yes. Programme teams define the questions, competencies and weightings, and the AI applies them identically to every applicant. Most institutions start from our admissions templates and adapt them per program within a working session.
How do you prevent cheating, including generative AI and proxy candidates?
Identity checks at the start of each interview, plus behavioural signals during it — unnatural pauses, read-aloud patterns, off-screen prompting — flag suspicious sessions for human review. Because interviews are spoken and conversational with real-time follow-ups, they’re substantially harder to script than written statements or one-way video.
Is the AI a black box? How do we justify results to stakeholders?
Every score is accompanied by plain-English reasoning linked to timestamps in the recording and transcript. Reviewers can verify, adjust or override any assessment, and the full chain — interview, score, rationale, human review, decision — is logged. That’s a more defensible evidence trail than most panel interviews produce today.
How is applicant data handled across regions?
The university stays in control of applicant data; we process it under a signed DPA aligned with the privacy law of your region — GDPR and UK GDPR in Europe, the Privacy Act in Australia, PDPA in Singapore, PDPO in Hong Kong, and FERPA-aware handling in the US — with regional data residency options. Applicant data is never used to train models for other customers.
Can faculty and committees review interviews?
Yes. Recordings, transcripts and scorecards are shareable with role-based access, so academics can review shortlisted candidates asynchronously — with shared notes replacing another round of meetings.
Does it integrate with our student information system?
We connect to Slate, Ellucian Banner, PeopleSoft, Salesforce, Tribal SITS and StudyLink environments via our documented REST API, webhooks and secure file transfer — typically through your existing integration platform such as MuleSoft, Boomi or Azure — plus SSO via SAML/OIDC. Integration scoping is part of the demo conversation.
Beyond admissions
More ways universities use Interviewer.AI
The same avatar interviews and explainable scoring, applied across campus — from your careers service to your hiring panels.
🎯
Career readiness for your students
Give every student unlimited AI mock interviews with structured feedback on communication, confidence and answers — so they walk into real job interviews prepared, and your employability outcomes show it.
Explore AI mock interviews →
👩🏫
Hiring teachers and academic staff
Screen teaching candidates at scale with the same structured, explainable interviews — assessing communication, subject clarity and fit before your panels invest a single hour.
Explore teacher hiring →
Next intake is closer than it looks
Ready to interview every applicant this cycle?
See how Interviewer.AI evaluates applicants consistently at scale — while giving your admissions team more time for the candidates who deserve a closer look. We’ll run the demo on one of your real programs.