Nikola

Candidate scans QR code in-store or clicks ad.

Nikola initiates a WhatsApp conversation.

AI screens for availability, age requirements, and experience.

Qualified candidates are immediately prompted to pick an interview slot.

Details are pushed to the ATS and store manager's calendar.

AI asks targeted technical questions about specific stack components.

AI evaluates the depth of explanation using semantic analysis.

Score is generated based on technical accuracy.

High-scorers are prioritized for the engineering lead review.

Nikola identifies past applicants who were highly rated but not hired.

System sends a personalized SMS regarding a new, relevant opening.

AI handles the conversation to update their current status and interest.

Interested candidates are fast-tracked to recruiter review.

Students register via a mobile-friendly link.

Nikola collects graduation dates, GPA, and work authorization.

System groups candidates by functional interest.

Automatic notifications are sent for upcoming webinar or on-campus events.

Nikola acknowledges every application within 60 seconds.

If not a match, the AI provides a professional and timely rejection.

If a match, it moves the candidate to the next step immediately.

Candidate can ask the bot questions about the company 24/7.

Nikola anonymizes PII (Personally Identifiable Information) during the initial screen.

Screening scores are generated purely on competency data.

Audit logs track the decision-making logic of the AI.

Monthly reports highlight any potential bias trends for correction.

Nikola detects the candidate's browser or device language.

Conversational AI switches to the local language (e.g., German, Japanese).

Screening results are translated back to English for global HR review.

Interviews are scheduled based on local time zones automatically.