How a Consumer Sector CSC Automated Mass Recruitment 24/7 with AI

Summary

This case study examines how a Shared Services Center (CSC) in the consumer sector automated its high-volume operational recruitment process using Lucas, Beecker’s AI-powered conversational agent for candidate selection. Faced with an 8-to-5 staffing model that couldn’t capture 70% of candidates who applied outside business hours, the CSC deployed Lucas as a 24/7 conversational agent to handle the entire candidate journey—from first contact to interview scheduling and background investigation. The results delivered measurable, trackable impact: 60% lower cost-per-hire, 84 hours of manual work eliminated per month, and a 19.2% abandonment rate—well below the industry benchmark of 20–45%.

Background

The client is a Shared Services Center serving a major consumer goods company, responsible for high-volume operational recruitment across multiple roles and locations. With dozens to hundreds of open positions at any given time, the CSC required a scalable, consistent, and cost-efficient way to process candidates from first contact through to hire. Operational recruitment of this type presents a structural challenge: candidates are often hourly workers or early-career professionals who search and apply for jobs outside of typical 9-to-5 hours—evenings, weekends, and early mornings. Traditional HR teams operating fixed schedules cannot respond in real time, resulting in candidate drop-off, delayed screening, and significant manual overhead for recruiters.

Challenge Identification

The CSC’s recruitment process relied entirely on human coordinators to manage candidate intake, eligibility screening, interview scheduling, and the coordination of labor and medical background investigations. This created three critical bottlenecks:

• Off-Hours Demand: 70% of candidates applied or reached out outside standard business hours—evenings, weekends, and early mornings—with no automated channel to receive them.
• Manual Screening: Manual eligibility screening required coordinators to individually review and qualify each candidate, consuming significant hours that scaled linearly with volume.
• Manual Investigations: Background investigations (labor history and medical) were triggered and tracked manually, creating coordination delays and inconsistency.

Pre-Automation Metrics

Metric	Before Lucas
Candidate availability window	~30% of applicants during business hours
Screening process	100% manual — coordinator-reviewed
Off-hours intake	None (candidates waited until next business day)
Investigation coordination	Manual follow-up with external providers
Metrics visibility	No real-time dashboard or funnel tracking

Our team

• Project Manager: Led cross-functional alignment between the CSC’s HR team and Beecker’s implementation team.
• Conversational AI Specialists: Designed and configured Lucas’s conversational flows, screening logic, and escalation rules.
• Integration Specialists: Connected Lucas to the CSC’s existing HR and scheduling systems.
• Business Process Analysts: Mapped the end-to-end candidate journey and identified automation opportunities.
• RoC (Robotic Operations Center): Managed technical uptime, exception handling, and post-launch optimizations.

Technology Stack

• Conversational AI Agent: Lucas—Beecker’s pre-built AI agent for conversational candidate selection and scheduling.
• Investigation Orchestration: 24/7 automated investigation triggers connected to labor and medical background check providers.
• HR System Integration: API-based connections to the CSC’s HR management and scheduling systems.
• Real-Time Metrics Dashboard: Live funnel metrics including conversations initiated, screening results, interviews scheduled, approvals, and hires.
• RoC Monitoring & Support: Beecker’s Robotic Operations Center—continuous supervision with human escalation for edge cases.

 

Project Timeline

Phase 1	Discovery & Process Mapping • End-to-end candidate journey documentation • Identification of off-hours drop-off points • Eligibility criteria definition and screening logic design • Integration requirements with existing HR systems
Phase 2	Development & Testing • Lucas conversational flow configuration • Screening and qualification logic build • Integration with scheduling and investigation platforms • Testing across simulated candidate scenarios
Phase 3	Pilot Deployment & Go-Live • Controlled rollout with monitoring by RoC • HR team training and handoff • Exception handling refinement based on real interactions
Phase 4	Optimization & Regional Replication • Process refinement based on funnel data • Dashboard enhancements for HR leadership • Replication framework built for new regions (deployed in 1 week)

Solution 

The implementation deployed Lucas as a fully operational 24/7 AI agent managing the complete candidate recruitment funnel through five integrated components:

 

1. 24/7 Conversational Intake: Lucas initiates and manages candidate conversations at any hour, auto-registering applicants, setting expectations, and beginning the qualification process without human involvement.
2. Automated Eligibility Screening: Lucas applies pre-defined eligibility filters—role requirements, availability, location, and documentation—automatically discarding non-qualifying profiles and notifying candidates in real time.
3. Interview Scheduling with Reminders: Qualified candidates are offered available interview slots, with automatic calendar blocking and multi-channel reminders to reduce no-shows.
4. Background Investigation Orchestration: Upon candidate approval, Lucas automatically triggers labor history and medical background check workflows with external providers, eliminating manual follow-up.
5. Real-Time Dashboard & RoC Supervision: All funnel activity is tracked in a live dashboard: conversations initiated, screening pass/fail, interviews scheduled, approvals, and hires. The RoC monitors for exceptions and escalates edge cases without interrupting the candidate experience.

Human in the Loop Lucas handles standard cases autonomously. When a candidate scenario falls outside defined parameters—an unusual eligibility edge case, a failed investigation, or a system error—the RoC (Robotic Operations Center) is notified immediately. A human analyst resolves the exception without the candidate experiencing any disruption.

Results

The deployment delivered measurable results across all key recruitment KPIs:

 

1,862

Total Conversations Initiated Total candidates who started the intake process with Lucas across the deployment period.

 

62.1%

Engagement Rate 1,157 of 1,862 candidates actively engaged through the full qualification flow.

 

221	Interviews Scheduled Automatically scheduled by Lucas — no coordinator involvement required.

 

10/mo

Hires per Month 25 candidates approved through the full process, delivering a steady 10 hires per month.

 

84 hrs

Manual Hours Saved Monthly 504 profiles auto-discarded by Lucas = 84 hours of coordinator time eliminated every month.

 

60%	Lower Cost-Per-Hire Compared to the traditional manual process, including screening, coordination, and investigation management.

 

19.2%

Abandonment Rate Well below the industry benchmark of 20–45% for conversational recruitment flows.

Beyond the headline metrics, the deployment transformed the CSC’s recruitment operation in several structural ways:

 

• Improved Candidate Experience: Candidates now receive immediate responses at any hour, dramatically reducing the drop-off that previously occurred when applicants had to wait until the next business day.
• Recruiter Time Redirected to Value-Added Work: With 504 profiles screened and discarded automatically each cycle, recruitment coordinators shifted from administrative processing to candidate quality and stakeholder engagement.
• Operational Scalability: Lucas’s modular architecture allowed Beecker to replicate the full deployment to a new CSC region in one week—compared to months for a traditional implementation.
• End-to-End Funnel Visibility: The live dashboard gave HR leadership real-time visibility into the recruitment funnel for the first time, enabling faster decisions and proactive bottleneck identification.

AI-Powered Mass Recruitment

his case study demonstrates what becomes possible when high-volume operational recruitment is reimagined around a 24/7 AI agent. By deploying Lucas within Beecker’s MAIW (Managed AI Workforce) model—with RoC supervision ensuring human oversight where it matters—the CSC eliminated its off-hours blind spot, freed its coordinators from administrative overhead, and built a recruitment operation that scales without growing headcount.

 

The 60% reduction in cost-per-hire and 84 monthly hours recovered are not projections—they are live results from a production deployment. More importantly, the architecture is designed to replicate: when the CSC expanded to a new region, Lucas was operational in one week.

Ready to automate your recruitment process? Talk to our team about how Lucas can be deployed for your organization’s hiring volume and workflow.