Use case · AI for recruiting
AI for hiring: interviews and job matching
AI that interviews every applicant the same way and explains each score, and AI that matches job seekers to roles and applies for them, with people in control.
Every applicant interviewed
In German or English, in the browser or by phone, at any hour.
The same questions for everyone
Core questions are fixed. The AI only adds a follow-up when an answer is vague.
Scores with reasons
A score per area with the reason in one line, plus the full transcript.
Matching that explains itself
Every job match shows the skills that fit and the ones that are missing.
Applying on autopilot
Tailored applications for strong matches, queued for 24 hours so the job seeker can stop any of them.
Who it's for
Job boards and recruiters
Every applicant interviewed the same way, under each portal's own brand.
Employers with many applicants
A scored report and transcript for each applicant instead of first-round phone calls.
Career-tech founders
Matching and auto-apply that job seekers can trust with their name.
HR platforms
A white-label interviewer added to an existing product.
- 1
Job or resume in
The employer describes the role, or the job seeker uploads a resume once.
- 2
Reach
Adverts written for Google for Jobs and regional portals, or fresh listings collected every day.
- 3
Interview or match
A realtime voice interview, or a match score for each job.
- 4
Report
Scores, reasons, strengths and the transcript, or matching and missing skills.
- 5
People decide
The employer chooses who to meet. The job seeker can stop any application.
The details thatdecide adoption.
Phone screens vary with mood and a bad line. Fixed questions make applicants comparable.
A score without its reason cannot be checked, only trusted.
An app applying in your name must never surprise you. Nothing is sent the moment it is matched.
Regional job boards keep their name and community. The platform underneath is shared.
A fairness and trust checklist
Hiring AI affects people's livelihoods, so trust has to be designed in, not added later. These are the questions we answer before building.
- Same questions for everyone?. Core questions are fixed. Follow-ups only when an answer is vague.
- Can every score be checked?. Each score has a one-line reason and the full transcript behind it.
- Who decides?. The employer reads the report and chooses who to meet.
- Can automation be stopped?. In WorkApply, every automatic application waits 24 hours and can be cancelled.
- Does it learn from people?. Thumbs up and down tune the matching over time.
What it coststo build.
Published price ranges, fixed before work starts. Use the estimator for your own project, or see all pricing →
| Option | Price | Timeline |
|---|---|---|
| Test a matching or screening idea | $500 Validation Build | 72 hours |
| Launch: one screening or matching flow | $4,900 | 2–3 weeks |
| Product: hiring platform MVP | $12,000 | 4–6 weeks |
An AI product your customers or team use every day.
Step 2 · Add partsPrices from our published list. We confirm the final, fixed price on one call. Running costs such as AI models, hosting and phone minutes are paid to those providers directly.
Common questions
Who decides which candidates move forward?
The employer. In Recruiting NOW the AI interviews and scores, then the employer reads the report and the transcript and chooses who to meet.
What is in the employer's report?
An overall score, four assessed areas (communication, technical skills, problem solving and cultural fit) each with a one-line reason, strengths, weak spots and the full transcript.
Which languages can the AI interview in?
Recruiting NOW interviews in German and English, in the browser over WebRTC and over the phone.
How does auto-apply avoid bad applications?
WorkApply only auto-applies to strong matches, shows the skills behind every score, and queues each application for 24 hours so the job seeker can cancel it. A thumbs-down removes a job and teaches the matcher.
Can one platform run under several brands?
Yes. Recruiting NOW is white-label: one platform under many regional job-board brands, each with its own name, logo and colours.