PhoneScreen 
PhoneScreen is an AI candidate-screening platform for automating structured phone interviews, collecting responses, and helping recruiting teams review applicants consistently.
Starting price Custom pricing
Tool Information
PhoneScreen is an AI candidate-screening platform for automating structured phone interviews, collecting responses, and helping recruiting teams review applicants consistently.
Recruiters define a role and screening questions, invite candidates, let the system conduct or record structured screening, review transcripts and summaries, and make decisions with accountable human oversight.
Public self-serve prices are not listed; pricing depends on screening volume, users, integrations, support, and enterprise requirements.
Automated hiring tools can reproduce bias, misinterpret accents or disability, expose sensitive applicant data, and trigger employment-law obligations. AI must not make final hiring decisions.
F.A.Q (3)
Pros and Cons
Pros
- PhoneScreen automates first-round candidate interviews through conversational voice AI
- Job-post parsing extracts requirements; responsibilities; salary; location; and remote details
- The system generates role-specific screening questions
- Recruiters can edit the generated question set before use
- Candidates can ask the agent questions during a call
- A public screening link can be attached directly to a job listing
- Interviews are available around the clock without manual scheduling
- Each completed call produces a timestamped transcript
- Recruiters can replay audio when a written transcript lacks nuance
- A zero-to-one-hundred score summarizes the automated assessment
- Reasoning summaries explain the factors behind a score
- Campaign mode can contact up to one thousand candidates in a batch
- Missed outbound calls can receive automated follow-up
- More than twenty ATS and CRM integrations are advertised
- API and Zapier options support custom recruiting workflows
- The first one hundred screens are free; followed by $4 per completed call
Cons
- Automated scoring can reproduce bias from models; prompts; speech recognition; or job criteria
- Consistent treatment is not the same as a legally fair or valid selection procedure
- Accents; disabilities; speech differences; noise; and weak phone connections can affect transcripts
- Sentiment analysis is a questionable signal for job competence
- A numerical score can encourage recruiters to defer too much to the algorithm
- Candidates may be uncomfortable speaking to an AI interviewer
- Audio recordings and transcripts contain sensitive personal data
- Organizations need clear consent; retention; deletion; and accommodation processes
- Generated job questions can encode unnecessary or discriminatory requirements
- Candidate answers to unforeseen questions may be inaccurate if the agent invents company policy
- Human review remains essential before rejection or advancement
- The product's bias-removal claims are provider assertions rather than proof for every role
- Employment laws may require impact assessments; notices; audit rights; or alternative screening methods
- At $4 each; very large completed-call volumes can still create substantial cost
- ATS integration can propagate an erroneous score quickly through downstream automation
- Recruiters should validate the tool separately for each job family and monitor adverse impact
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Overview
Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
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