What we automate

AI Interview

Agentic screening, scheduling and candidate interviews on your own job profiles and past hiring data, with a recruiter making every decision.

Agents read applications against your job profile and scoring rules, extract the evidence for each requirement, draft interview schedules and candidate replies, and prepare a summary for the recruiter. Nothing is sent or rejected without a person approving it.

Every screening output passes a measured verifier and is logged with the evidence used, so decisions are consistent and explainable to candidates and auditors. Candidate data stays on your own systems, and the workflow supports your obligations on non-discrimination and data protection.

How we support you

How we work with you in AI Interview

Click a step to see what happens in it.

Step 1: You bring

Job profiles & applications

You share your job profiles, scoring rules and incoming applications.

Applications and CVs
Job profiles and scoring rules
Past hiring data
Recruiters' calendars

Where it runs: Your own systems; candidate data stays with you

What you can earn

The numbers behind AI Interview

What the research shows

Case study

Unilever cut time-to-hire by 75%, from four months to four weeks, and saved over GBP 1 million a year. LinkedIn reports recruiters using AI have 20% less workload.

Example: Company with 200 employees and 40 hires a year

Hiring 15 days shorter, 45 to 30 days: 15 × 40 × PLN 500 = PLN 300,000
Less recruiter work: 2 × PLN 115,200 × 20% = PLN 46,080
Our fee over 3 years: PLN 371,000

Gain per year

PLN 346,080

Result after 3 years

+PLN 667,240

Payback

7.9 months

Recruitment AI is high-risk under the EU AI Act. A person always makes the decision about a candidate.

The example uses our assumptions, not your data. We recalculate it on your numbers in the audit. Our fee: PLN 155,000 one-off and PLN 72,000 a year, see pricing. Payback assumes the full gain from the first month. Sources: Unilever case, Recruiting statistics.

See it on your own data

We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.

Request MVP