In the era of mass hiring, AI video interviews are the perfect solution for handling high-volume candidates’ applications. Recruitment at volume has always been a problem of logistics: the middle repetitive process of screening, scheduling, and coordinating hundreds of people at once, maintaining consistency of evaluations and defensible decisions. Finding candidates was never the problem.
The hiring industry’s solution for years was to add more coordinators, more customization of an ATS, and to use calendar apps to reschedule the same candidate three times. The issue still existed, and the recruiting system began to be stressed.
The World Economic Forum has repeatedly stressed that “job loss” is not the key issue of labor market transformation. It’s the rapidly evolving nature of workflows outpacing institutions’ abilities to adapt to them. One of those workflows is hiring. Similarly, the Economist notes on automation of the white-collar worker that the modern company is increasingly limited in its software availability than in its operational coordination.
Is recruiting caught up in a flux?
Finding candidates is not a challenge at high volumes. Processing them coherently with dignity is. Rebecca AI, developed by Pete & Gabi, was built to solve this problem. The AI screening assistant automates the front end of the hiring funnel all the way from outreach to the live video interview to scored shortlists, without taking the recruiter out of the loop of decisions that need judgment.
Let’s take a deep dive into the functionality, mechanics, and ideal applications of the AI hiring platform.
Why high-volume hiring disrupts the conventional interview processes
What would happen if a mid-size employer hires 40 employees at once? Logistics even does not work with a four-person recruiting team. There are 200 applications with each recruiter. The 20 minutes per phone per person is just over 65 hours (about 5 days) per person, before there is any standardization or documentation.
What follows is the intuition ‘skimming’ of the resume, ignoring people who don’t call back in a timely fashion, and moving forward with whoever answers the initial email. This happens when the process capacity is depleted.
Talent sourcing and screening are the most time-consuming tasks for 73% of talent professionals, according to LinkedIn’s Global Talent Trends report for 2024. That same report revealed that 75% of the time in the early part of the process, accounting for 42 days of the average 108 days (about 3 and a half months) from post-to-offer, is spent in screening.
With Rebecca AI, that timeline is shortened. Pete & Gabi‘s deployment data shows that recruiting teams using the AI recruiting platform are 80% faster to fill roles and up to 60% lower cost-per-hire in the first hiring cycle. In one staffing arrangement, they processed 7,334 candidates, 3,077 of which passed their screening and 1,050 were interviewed by them, with none of their recruiters intervening till the scored shortlist was delivered.
AI interviewer core capabilities
Rebecca AI is a real-time interviewing assistant that allows for two-way, adaptive video interviews, without compromising due diligence, and without waiting for candidates to initiate the conversation. Built by Pete & Gabi, she speaks over 16 languages, supports mobile interviews, and contacts candidates within minutes of application, making her the best AI voice interviewer for enterprises that compete on speed.
Rebecca AI notifies the applicants within minutes after they have applied and does regular follow-ups via phone, SMS and email, which saves man hours. This is important because the number of candidates drops off sharply as delay in the response increases. A 2023 Talent Board study revealed that those who heard nothing within 24 hours had a 38% greater chance of dropping out of the process. The parameters of the outreach are set by the recruiters.
Live, Two-Way Adaptive Video Interviews
This marks the difference between the asynchronous video interview platforms, where candidates record their answer to a set of questions, and reviewers watch the recordings later, and Rebecca AI, where all questions are generated dynamically. At present, Rebecca AI can engage in real-time conversations.
Questions are drawn from the Job Description and candidate’s own Resume. If a candidate provides an unexpected or ambiguous answer, the AI interviewer adapts by asking a clarifying or probing question and not continuing with a scripted answer. This adaptive behavior results in transcripts of interviews that represent a candidate’s natural communication patterns in a conversation with a hiring manager, which is more in line with what hiring managers are interested in.
The automated hiring platform allows you to interview over 100 candidates at once. The concept of time zones doesn’t apply. A candidate and a candidate can take their interviews on the same Tuesday morning, both in Manila and Munich.
Five-Dimension Candidate Scoring
For every interview, the candidate is scored by Rebecca AI on five dimensions:
- Technical ability
- Problem-solving
- Communication
- Professionalism
- Role fit
The scoring system is set up by role. While the technical aspect and problem-solving skills are more important in a DevOps engineer role than they are in a client services coordinator, the latter role pays more attention to communication and professionalism.
Each score includes an entire transcript and a summary. Recruiters are provided with ranked shortlists, not raw recordings, although recordings and transcripts are provided for review if necessary.
Fraud and Authenticity Detection
One of the features of Rebecca AI that is a check for inconsistencies and authenticity signals during interviews. The AI hiring tool identifies candidates who appear to be reading from a script or being coached in real-time or who are answering questions differently from what they have put on their resume. Throughout their deployment, Pete & Gabi are achieving a 95% fraud detection rate.
Multilingual Interviews in 16+ Languages.
Rebecca AI interviews in over 16 languages. Hence, there is no need to have parallel processes or recruiters specializing in a particular language for teams spread across the globe or for employers who are hiring to the same job position in different regions at the same time.
There is no need for a hospitality group, with properties in eight countries, to have eight separate recruiting workflows. All of them are operated by Rebecca AI from one place.
The integration of the workflow with an existing hiring stack
There are 4 steps to setup:
First, you add your candidate pipeline. Import from your ATS, CRM or CSV file with Rebecca AI. Secondly, you set up the role: job criteria, scoring system, etc.Secondly, you define the role: job criteria, scoring system, etc. Third, Rebecca starts outreach and takes care of follow-up. Fourth, candidates finish up the interview, and the platform provides shortlist directly to your ATS together with transcript, score, and a summary.
Pete & Gabi call this ‘A Qualified Shortlist Without Manual Screening’. The framing is correct. Recruiters don’t see the raw applicants. They review applicants who are evaluated.
ATS and CRM Integrations
On the ATS end, Rebecca AI natively integrates with the major enterprise platforms, such as Workday, Bullhorn, Greenhouse, Lever, and iCIMS. On the CRM end, it natively integrates with HubSpot, Salesforce, and Pipedrive. Calendar sync is available for Outlook and Google Workspace. The platform also provides REST API and webhooks for real-time data sync in custom environments.
This matters operationally. Recruiting workflows fail when data needs to be manually moved from one system to another. ATS syncing will enable every candidate who scores will be seen by the recruiter in their current workflow and not as a separate export where candidates need to be ticked off elsewhere.
Compliance and Data Security
Compliance isn’t a choice for enterprise customers. Rebecca is compliant with ISO 27001, SOC 2, GDPR, CCPA and changing AI hiring laws. This makes it well suited for regulated sectors such as healthcare, financial services, insurance and utilities where every hiring tool that comes into contact with data about potential employees should adhere to strict standards.
It also produces dependable, traceable files of every interview, which is essential for companies that have to adhere to EEOC reporting needs or those that function in jurisdictions where there are new disclosure regulations for AI-in-hiring.
Industry use cases: Where AI Hiring Tool excels
It’s built to be used in any setting where the number of jobs being filled outstrips the number of recruiters. There are some very straight use cases, by sector:
Healthcare organizations are always short of the number of clinical and non-clinical employees they require, and frequently include credential verification as part of the equation. With time-sensitive positions like nursing and allied health, Rebecca AI pre-qualifies candidates and provides ranked shortlists, cutting down on time-to-shortlist.
Compliance roles are important for financial services, and they require structured, auditable interview records. It is directly addressed in the 5 dimension scoring and the transcript archive.
Oftentimes, telecommunications firms have to rate technical candidates on a scale. Here, the embedded problem-solving assessments and the consistent scoring from Rebecca AI are effective.
Staffing agencies that have multiple clients at once are likely to be the most natural fit. The platform can deal with high outreach volumes, can service big candidate pools per cycle, and fills up hard to fill positions without adding to the head count.
The 24/7 interview availability and 16 language capability are ideal for hospitalities that require candidates to be available during normal business hours and have multiple language skills.
What recruiters still control
People are always in the loop. Outreach, live interviews, scoring, and ATS sync come with Rebecca AI. The final decision to hire is in the hands of the recruiters. They configure the scoring criteria, configure the escalation rules and make offers.
The AI hiring software is not a substitute for the human recruiting judgment but rather meant to sidestep low-value repetition in the recruitment process. Interviews with the shortlisted candidates still proceed with the hiring manager. Reference checks and final decisions are up to the team. How has the size and quality of the shortlist they receive, and how quickly received, changed?
Recruiters remain focused on candidate relationships and decisions while Rebecca AI takes care of high-volume video interviews.
Thinking About ROI
It’s worth a look at the cost model of traditional high-volume hiring. At scale, manual phone screening necessitates dedicated recruiting coordinators, high dollar recruitment process outsourcing contracts, or a combination of both. Each coordinator gets only a certain amount of calls per day. When you’re interviewing at a high volume, if you make one mistake in scheduling and follow up, or if you get a slow response from top candidates, they’ll take another offer.
Rebecca AI’s operating model involves trading hours in a coordinator with hours on the platform. The 60% cost-per-hire savings cited by Pete & Gabi is due to the removal of early stage recruiter time on unqualified candidates, faster shortlist delivery (which decreases the time for offer competition), and higher associated data quality within the shortlist stage (which decreases the quantity of poor hires going through to final stages).
Pete & Gabi also point out that there is no contract involved for getting started, and that qualified shortlists are usually generated within the same week of the platform installation and setup.
Final Thoughts
One of the ongoing challenges faced by talent acquisition teams has been high-volume hiring because of the tools available, which often force talent acquisition teams to prioritize speed over quality. Speed kills when you’re recruiting for top talent. It takes months and one should move with caution.
Rebecca AI takes a different stance that structure and automation do not conflict with quality. A live adaptive interview with a well-programmed AI agent, which scores the candidates’ responses for the job role and provides full transcription, can be more consistent and more informative than a phone interview from an afternoon of 40 other candidates.
Pete & Gabi’s deployment evidence is pretty clear cut. The AI interviewing platform saves time-to-hire, cost, and provides shortlists that enable recruiters to make better decisions quickly. That’s a combination that’s worth investigating, especially for organizations that are running at volume.
Pete & Gabi provide demos of Rebecca AI for free on their website, https://www.petegabi.com.
Frequently Asked Questions
What is an AI interview tool?
Rebecca AI is an AI video interviewing and recruiting automation system created by enterprise AI video interviewing and sales agent developer Pete & Gabi. Rebecca AI automates recruitment—from outreach to live two-way video interviews, to scoring candidates and delivering to ATS.
How is AI screening tool different from traditional asynchronous video interview tools?
Asynchronous: Candidate answers are captured for human review on a set of questions. Rebecca AI initiates real-time conversations which adjust their content in response to the candidate’s answers, creating new questions as they go. This gives rise to a more realistic conversational assessment, as opposed to a recorded monologue.
Does AI hiring platform support simultaneous interviews?
Yes, Rebecca AI supports simultaneous volumes. Can deliver dozens, even hundreds, of interviews simultaneously, across time zones, without any manual coordination or scheduling burden on the recruiting team.
Which dimensions are considered for scoring in AI interviewing tools?
Rebecca AI evaluates candidates on five criteria – Technical Skills, Problem-solving skills, Communications, Professionalism and Role fit. The weighting of each dimension is role dependent and therefore the framework will represent what is important for each role.
What kind of ATS can AI hiring software integrate with?
Rebecca AI integrates natively with Workday, Bullhorn, Greenhouse, Lever, and iCIMS, among others. It also connects with HubSpot, Salesforce, and Pipedrive, and supports calendar sync with Outlook and Google Workspace. Custom integrations are available via REST API and webhooks.
Is Rebecca AI compliant with hiring regulations?
Pete & Gabi report alignment with ISO 27001, SOC 2, GDPR, CCPA, and evolving AI hiring regulations. Every interview generates an auditable transcript and scoring record, which supports compliance reporting requirements in regulated industries.
