A qualitative summary is a starting point for review, not a hiring recommendation.
Ask questions that help a person continue
For frontline vacancies, an early conversation often needs practical context: the type of work a person wants, relevant experience, location preferences and availability. An unanswered message or a missed call can leave that context scattered.
AI first-contact support can ask the screening questions you define, collect the answers and prepare a structured summary for the candidate profile. Keep questions relevant to the role and let recruiters clarify anything uncertain.
Read the summary alongside the conversation
A short summary is useful only when your team can understand where it came from. Frontline keeps candidate context with communication history so a recruiter can review the conversation rather than treat a summary as a final judgment.
A recruiter verifies important information, asks follow-up questions and decides whether to progress the candidate. AI does not score, rank, accept, reject or hire candidates.
Fictional example: a candidate describes warehouse experience and says they may be available next month. The summary preserves that uncertainty. HR checks the dates with the candidate before deciding on a next step.
Configure first contact around your business
First-contact support is configurable for each customer. The aim is to collect context that fits your hiring workflow, not force every candidate into the same conversation.
For incoming calls, the optional AI-assisted switchboard connects candidates to HR first. Maria takes the call only when HR is busy, outside working hours or at weekends. This is call routing, not automatic candidate progression.