Higher quality, less fragmentation: Big Mamma transforms multi-location recruitment.

Automated screening, self-managed interview scheduling, and consistent criteria across countries: 200 hires in 90 days without compromising quality, speed, or consistency.

<5 days

Time to interview

Time to interview

200

Hires

Hires

4.5/5

Candidate NPS

Candidate NPS

CLIENT

Big Mamma Group

Industry

Restaurant

Company size

1,000–5,000 employees

CHALLENGE

Supporting rapid expansion and new openings while handling high volumes of applications without compromising quality, consistency, or speed.

SOLUTION

Klaaryo Recruiting: an AI screening agent that automates the funnel, accelerates pre-screening, and frees up HR to focus on the candidates who matter most.

“Klaaryo AI gave our Recruiting team time back to focus on what matters. In such a fast-paced expansion phase, automating initial screening doesn’t just make us faster. It ensures every candidate gets immediate feedback, reaching interviews with profiles truly aligned with Big Mamma’s DNA.”

Valentina Petronca

Global Talent Acquisition Manager

CONTEXT

With 34 active restaurants and a huge expansion plan, Big Mamma faces intense hiring peaks.

  • The challenge: 150–200 hires in just three months (September–November 2025), ahead of key new openings

  • Multi-country, multi-location recruiting: parallel processes across several countries, with a strong focus on the Barcelona opening

  • High-volume, business-critical roles: runners, commis chefs, and pizzeria staff—junior roles essential to ensuring smooth operations from day one

  • Up to 2,000 applications per role: a massive influx of candidates within 90 days. Manual screening? A bottleneck was slowing down the entire expansion engine

Challenge

When volume becomes operational friction.
Before Klaaryo, rapid expansion was putting pressure on the entire hiring process:

  1. Inconsistent standards across countries: with recruiting active in multiple markets, evaluation criteria weren’t always aligned—leading to inconsistent candidate experiences and uneven shortlist quality

  2. A wave of hard-to-filter applications: thousands of CVs, many misaligned with the role or unavailable for operational needs. Manual screening consumed valuable HR time

  3. Slow response times: over two weeks to follow up with candidates. In a competitive market, top candidates accepted other offers before even being evaluated

  4. High no-show rates: slow, unresponsive processes led to candidate drop-off. Missed responses and interview absences further delayed openings

Solution

Operational AI, built for scale: With Klaaryo, Big Mamma didn’t just introduce a new tool—it built a screening engine designed to support growth.

  • Co-created, not just configured: The AI agent was fine-tuned with the recruiting team to reflect real restaurant operations. Every recruiter feedback loop improved evaluation accuracy, aligning the system with brand standards.

  • Instant, intelligent screening: Klaaryo evaluates three key, non-negotiable criteria in real time:

  • EU citizenship

  • Relevant role experience

  • Immediate availability

Only truly compatible candidates move forward. No noise. Full focus.

A fully automated funnel:

  • Recruiters identify potentially suitable CVs

  • Klaaryo initiates contact, manages conversations, and conducts screening

  • The AI autonomously schedules group interviews

  • HR team maintains full control, with the ability to reschedule or adjust at any time

Result: a fast, seamless, and controlled process

Who uses it: the recruiting team—now free to focus on qualitative evaluation and strategic decisions instead of repetitive tasks.

Results

From operational pressure to competitive advantage: with Klaaryo, Big Mamma transformed recruiting from reactive to strategic.

  • Less manual work, more strategic impact: AI fully handles first contact, conversational screening, and interview scheduling. HR teams are freed from repetitive tasks and can focus on candidate quality and experience.

  • Faster funnel, zero wasted time: time-to-first-interview is massively reduced through automated scheduling, smart reminders, and autonomous coordination.
    Result: fewer no-shows, more completed interviews, smoother processes.

  • International hiring, seamless execution: applications are managed simultaneously across three countries. Barcelona opening successfully delivered: 28 hires (commis, runners, pizzeria staff) on time for go-live.

Consistent quality, no compromises: final shortlists included only candidates fully aligned with operational requirements. Uniform criteria, consistent evaluations, and reliable quality across every location.

<5 days

Time to interview

200

Hires

4.5/5

Candidate NPS

<5 days

Time to interview

200

Hires

4.5/5

Candidate NPS

<5 days

Time to interview

200

Hires

4.5/5

Candidate NPS

<5 days

Time to interview

200

Hires

4.5/5

Candidate NPS

TRY KLAARYO NOW

Want to replicate this model in your organization?

TRY KLAARYO NOW

Want to replicate this model in your organization?

TRY KLAARYO NOW

Want to replicate this model in your organization?

TRY KLAARYO NOW

Want to replicate this model in your organization?