Every peak season puts the same pressure on the same teams. Applications that normally arrive over weeks land in days. Store managers, distribution leads, and hotel operators need staff confirmed before peak demand, not after. And seasonal candidates almost always apply to several employers at once where the fastest team wins the hire.
The bottleneck is rarely sourcing. It is screening. A recruiter who can comfortably handle 50 applications a week cannot suddenly handle 500 without either cutting corners (inconsistent criteria, gut decisions, shortlists that fail an audit) or falling behind (losing candidates to faster employers). Adding temporary recruiters is the usual reflex but it brings further challenges such as onboarding overhead, inconsistency, and cost.
Malmö Stad hit exactly this wall before deploying Hubert. After switching to structured AI screening, their recruitment cycle dropped from six weeks to two days, saving 750 hours of administrative work and approximately 200,000 SEK in a single cycle.
"AI screening" covers products with very different capabilities. Structured AI interviewing replaces the 15-to-20-minute screening call recruiters would otherwise run manually with a consistent, competency-based interview every candidate completes at their own pace, on any device, in their own language.
For seasonal hiring, three things matter immediately:
Scored, auditable shortlists in your ATS. Recruiters do not receive a stack of completed forms to re-evaluate; they get a ranked shortlist with scores tied to specific responses, ready to act on.
Deploying structured AI interviews for a seasonal surge is not a multi-month project. The workflow:
Keep the final decision with your team. Hubert recommends but the final decision still lies with the recruiters.
Seasonal hiring is one of the highest-risk contexts for inconsistent, indefensible hiring decisions, precisely because the pressure to move fast is highest. When a recruiter processes 200 applications in a day, the criteria drift. Early candidates get more generous treatment, later ones get filtered faster. Fatigue introduces bias nobody intended.
Structured AI interviews address this as a design principle, not a compliance afterthought. Every candidate completes the same interview, against the same criteria, scored by the same deterministic models. The 500th candidate on a Friday afternoon receives the same quality of assessment as the first candidate on Monday morning. That is what makes the shortlist legally defensible by design, not just auditable in retrospect.
This is not theoretical:
Across deployments, Hubert delivers up to 80% faster time-to-hire and up to 85% reduction in manual screening cost. See more results on the case studies hub.
Seasonal pressure is predictable. The question is whether you meet it with a process that scales, or with the same bottlenecks as last year, managed by more people under more stress.
Book a demo to see how Hubert handles volume at scale, and what a structured, legally defensible shortlist looks like in your ATS.