Transparent candidate screening and interview workbench

For

Hiring teams and recruitment agencies screening high volumes of candidates

Solves

Manual screening and interview scheduling slow hiring decisions and produce inconsistent candidate evidence.

Delivers

Reviewer-approved shortlists and structured evaluation reports

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce time-to-shortlist while keeping hiring evidence reviewable.

1. Parse job criteria and role requirements.
2. Screen and score incoming applications against criteria.
3. Rank candidates by relevance to the role.
4. Invite candidates in bulk to scheduled interviews.
5. Conduct AI-led interviews live or asynchronous.
6. Record video interviews with playback.
7. Generate role-specific questions from approved banks.
8. Transcribe responses and link them to questions.
9. Flag possible cheating or integrity issues for review.
10. Produce structured evaluation reports per candidate.
11. Support interviews and assessments in multiple languages.
12. Collect team feedback and decision comments.
13. Show hiring progress and candidate performance analytics.
14. Sync shortlists and decisions with the applicant tracking system.
15. Generate personalized application scripts for candidates.
16. Create personalized learning plans for development.
17. Compare the reviewed result with the recorded baseline and value assumptions.
18. Capture corrections and named-owner approval before consequential use.
19. Export a versioned reviewer-approved shortlist and structured evaluation report with source references and unresolved questions.

Everything these tools do, in one app

• Automated candidate screening Automatically filters and evaluates applicants to identify qualified candidates.Found in ShortlistIQ, JusRecruit
• AI-led interviews Conducts interviews using AI, either live or asynchronous, to assess candidates.Found in Sara, the AI Interviewer, Humanly AI Interviewer & Talent Partners, NTRVSTA and 2 more
• Video interviews Enables video-based interviews with recording and playback capabilities.Found in Intrvu Space, Humanly AI Interviewer & Talent Partners, interview.co and 1 more
• Automated scheduling Automates interview scheduling to reduce coordination efforts.Found in Intrvu Space, NTRVSTA
• Candidate ranking Ranks applicants based on relevance to job criteria.Found in ShortlistIQ, JusRecruit
• Customizable evaluation criteria Allows customization of assessment criteria to match specific hiring needs.Found in ShortlistIQ, Intrvu Space
• Collaboration tools Facilitates team feedback and collective decision-making on candidates.Found in Intrvu Space, interview.co
• Analytics dashboard Provides insights and tracking of hiring progress and candidate performance.Found in ShortlistIQ, Intrvu Space, Humanly AI Interviewer & Talent Partners
• Multi-language support Supports interviews and assessments in multiple languages.Found in Sara, the AI Interviewer, 🅰️Apply Script
• Role-specific question banks Offers tailored questions for different job roles.Found in Sara, the AI Interviewer, interview.co
• Structured evaluation reports Generates standardized reports to aid hiring decisions.Found in Sara, the AI Interviewer, Humanly AI Interviewer & Talent Partners, interview.co and 1 more
• ATS integration Integrates with applicant tracking systems for seamless workflow.Found in ShortlistIQ, NTRVSTA
• Cheating detection Monitors for cheating during interviews to ensure integrity.Found in Coding Interviews by Hyring
• Transcripts and recordings Provides transcripts and recorded responses for review.Found in JusRecruit
• Bulk candidate invitations Allows inviting multiple candidates simultaneously.Found in interview.co
• Personalized learning plans Creates customized learning paths for skill development.Found in Skillpine
• Application script generation Generates personalized scripts for job applications.Found in 🅰️Apply Script
• Human talent partners Provides human review and context for AI interview results.Found in Humanly AI Interviewer & Talent Partners

What goes in, what comes out

The workflow

1. In
   Start with

   Job criteria, candidate applications, interview recordings and approved question banks

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect job criteria

4. 3

   Candidate applications and interview recordings

5. 4

   Then follow this sequence: 1

6. Out
   Finish with

   Reviewer-approved shortlists and structured evaluation reports

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed job family and approved question bank; final hiring decisions and adverse-action checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Role criteria and question setup, Candidate pipeline and interview review, Shortlist and decision record. Use a pipeline board for candidates, a large central review canvas for interview evidence, and a right-hand panel for criteria, scores and comments. Let users compare candidates side by side. Display screening, interview complete, shortlisted and rejected states. Provide a hiring-manager review link with comments anchored to the relevant evidence. Make the task-specific outcome reviewer-approved shortlists and structured evaluation reports visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, candidate records, interview versions, team comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Applicant tracking systems, calendar and scheduling tools, video conferencing and assessment providers. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: parse job criteria and role requirements; screen and score incoming applications against criteria. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will hiring teams and recruitment agencies screening high volumes of candidates use it to solve "manual screening and interview scheduling slow hiring decisions and produce inconsistent candidate evidence"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Qualified candidates advanced per recruiter hour and hiring-manager agreement with shortlist decisions.
4. Measure, then decide. Track qualified candidates advanced per recruiter hour and hiring-manager agreement with shortlist decisions; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed job family and approved question bank; final hiring decisions and adverse-action checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: parse job criteria and role requirements; screen and score incoming applications against criteria. Support the remaining modules with operator review: rank candidates, schedule and conduct interviews, transcribe, report and sync with the applicant tracking system. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved shortlists and structured evaluation reports. Retain the explicit scope boundary: One fixed job family and approved question bank; final hiring decisions and adverse-action checks remain human.

What the build depends on. Candidate upload and preview, asynchronous interview jobs, editable version history, reviewer access and tested export formats. High-fidelity hiring requires specialist human review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed job family and approved question bank; final hiring decisions and adverse-action checks remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined role package. Offer a monthly screening allowance after repeat demand. Quote complex multi-role or specialist assessment separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved shortlist and structured evaluation report. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce time-to-shortlist while keeping hiring evidence reviewable. Demonstrate a concrete reviewer-approved shortlist and structured evaluation report using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Hiring teams and recruitment agencies screening high volumes of candidates professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved shortlist and structured evaluation report from a small authorized input set, with a transparent calculation of qualified candidates advanced per recruiter hour and hiring-manager agreement with shortlist decisions and no promised savings.

The first 30 days

1. Week 1: interview five hiring teams and recruitment agencies screening high volumes of candidates and inspect a recent example of manual screening and interview scheduling slow hiring decisions and produce inconsistent candidate evidence.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure qualified candidates advanced per recruiter hour and hiring-manager agreement with shortlist decisions, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Qualified candidates advanced per recruiter hour and hiring-manager agreement with shortlist decisions. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Qualified candidates advanced per recruiter hour and hiring-manager agreement with shortlist decisions; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved shortlists and structured evaluation reports. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved question banks, evaluation criteria and review examples, together with reliable delivery for a narrow hiring niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for hiring teams and recruitment agencies screening high volumes of candidates. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

ShortlistIQ, Intrvu Space, Sara, the AI Interviewer, Humanly AI Interviewer & Talent Partners, NTRVSTA, interview.co, Skillpine, JusRecruit, Coding Interviews by Hyring and Apply Script. Compare this product with the buyer's present method on qualified candidates advanced per recruiter hour and hiring-manager agreement with shortlist decisions. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Interview processing, transcription, storage, reviewer hours, candidate revision rounds and licensed question banks. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved shortlists and structured evaluation reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve candidate privacy, source attribution, interview accuracy and usage permissions. Hiring managers approve substantive decisions and adverse-action scope. One fixed job family and approved question bank; final hiring decisions and adverse-action checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.