Enterprise AI Interviewer
AI Interviews that prove right-fit talent
Shortlist faster with 24/7 AI screening interviews built on validated hiring science. Every recommendation comes with the evidence behind it.
Trusted by Enterprise Talent Acquisition Teams
High-volume screening breaks at scale... Hirevue doesn’t.
Standard Screening
Generic AI hiring tools have weak governance
Manual screening calls take too long
Resume ranking is not reliable enough
Point solutions make calibration a nightmare
Hirevue
Enterprise-grade governance built in
24/7 always-on screening
Captures signal beyond résumés
One workflow to validate the hiring bar
Automate screening while keeping humans firmly in control
Validated Hiring Science
Evaluate candidates like a real person would.
IO-Psych-designed interviews apply one consistent hiring bar, while calibration workflows prove AI is scoring talent like your hiring managers would.
Enterprise Governance Controls
Automate screening without surrendering control.
Hirevue makes AI screening defensible with decision trails, bias monitoring, permissions, and compliance controls. You can show the why, not just the result.
Candidate-Respectful Screening
Make screening feel fair and human.
Hirevue runs 2-way conversational interviews 24/7 with proactive consent, AI transparency, and funnel analytics to reduce drop-off and improve experience.
ONE PLATFORM
Use one platform designed for enterprise hiring.
When screening, assessments, and interviews live in one place, nothing gets lost between tools and every decision is easier to review and stand behind.
Enhancing Mental Health Support
This case study focuses on a community initiative aimed at improving mental health services. By offering workshops and support groups, they successfully reduced stigma and increased awareness. The program led to a 60% increase in individuals seeking help and a stronger community support network.
Bridging the Gap in Rural Healthcare
This case study examines the implementation of telemedicine services in rural areas. By providing remote consultations, healthcare access improved dramatically. Patients reported higher satisfaction levels, and the program resulted in a 50% increase in follow-up appointments, ensuring better health management.
Greener Hospitals for a Healthier Future
This case study highlights the efforts of a hospital network to adopt sustainable practices. By utilizing renewable energy sources and reducing waste, they not only lowered their carbon footprint but also saved on energy costs. The initiative led to a 40% reduction in energy consumption and improved community health outcomes.
Revolutionizing Patient Care
This case study explores how a leading tech company implemented innovative solutions to enhance patient care. By integrating AI and machine learning, they improved diagnosis accuracy and reduced wait times significantly. The results showed a 30% increase in patient satisfaction and a 25% decrease in operational costs.
Transforming Healthcare Delivery
More than 100,000 skilled and compassionate caregivers in physician practices, hospitals, outpatient clinics, skilled nursing facilities, home health agencies and hospice centers provide individualized, wholistic care.
Impact and outcomes by the numbers
30
min
Saved on every screen
60
%
More qualified candidates from the same applicant pool
30
%
Fewer manager rejections
40
%
Faster time to shortlist
"It's transformed how we manage high-volume hiring - it saves me hours each week, makes hiring across time-zones seamless, and helps us connect with more great candidates."
.jpeg)
Ryann M
Large Canadian Retailer
“There’s exponential value [with the AI Interviewer]... it’s not just the time saved per employee. It’s perfect record keeping, post-hire calibration, and integration with other systems. This is bringing a different level of value for everyone.”
SVP Talent Acquisition and Large Device Manufacturer
Design Partner
Global IT Services & Consulting firm
“100% of the candidates I have sent over from the AI Interviewer have been qualified to move forward in the process.”
.jpeg)
Brianna B
Customer
BlueLinx
Features
Market leading features to explain every recommendation
Hirevue’s AI Interviewer
Generic AI interviewers
Trusted controls for talent leaders
Legal decision explainability logs
Bias/adverse impact checks
Reliability SLAs
Role permissions and data security
Strong AI guardrails
Hirevue’s AI Interviewer
Generic AI interviewers
Trusted decisions for hiring teams
IO-Psych validated content and models
IO-Psych trained rubric builder
Trait signals from word choice analysis
Optional: English proficiency
Calibration mode proves AI/team agree
Hirevue’s AI Interviewer
Generic AI interviewers
Trusted experiences for talent
Market leading human sounding AI
24/7 interviewing and scheduling
Answers candidate questions
Proactive consent & AI transparency
CSAT and funnel analytics
Hirevue’s AI Interviewer
Generic AI interviewers
One platform to unify selection signals
Offers interviews and assessments
AI interviewer works with a live notes for hiring managers
Works with chat based AI
Works with to match candidates to multiple roles
Integrates with 40+ ATS
get started
Turn high-volume hiring into a process you can trust
See our AI interviewer in action.
FAQs
Frequently asked questions
Do you have the usual AI interviewer features?
Yes. All the basics you’d expect. What’s different is how enterprise-ready it is: advanced controls, oversight, and guardrails built in from day one.
What if the AI hallucinates or makes a questionable call?
We plan for reality. Layered checks review outputs, flag anomalies, and make it easy to audit and escalate edge cases.
Does AI depersonalize hiring and frustrate candidates?
Not when it’s used in the right place. Screening becomes more consistent and flexible, and humans stay front-and-center later in the process. In our candidate feedback, 78% said they prefer AI screening over a human screen.
Is adding AI just adding bias?
A rubric-driven interview can be fairer than an unstructured human screen because it focuses on job-relevant criteria, asks comparable questions, and documents the “why.” You can also monitor outcomes over time and tune the rubric.
How do you score candidates, and can we explain decisions?
Every score ties back to evidence from the interview and your competency rubric. If you want “receipts,” you’ll have them.
Can we customize questions, competencies, and pass criteria per role?
Absolutely. Configure by role, level, location, and team, then calibrate with hiring managers so the signal matches what you actually hire for.
Will this fit into our ATS and current workflow?
Yes. It’s designed to slot into your process, with results flowing back to the candidate record so recruiters and managers stay in their normal tools.
Can the AI interviewer be white-labeled or represent my brand?
Yes, you can add your logo, brand colors, and customize the copy and tone for all communications. You can also describe your culture to answer candidate questions.
Do you train on our candidate data?
Your data stays yours. Any data usage beyond running your interviews is explicit and controlled, not a hidden default.
What about cheating or people gaming the interview?
Structured interviews help, and reviewable transcripts make patterns easier to spot. Suspicious cases can be flagged for human review instead of blindly passing through.
