Immediate Payback Justification
Reduction in Time-to-Hire (TTH) for key strategic roles.
Improvement in candidate quality score, reducing 6-month turnover.
Recruiter time spent on initial, manual résumé screening.
1. Current State (As-Is): The 35-Day Delay
The initial process involved manually reviewing every application, scheduling, and repetitive follow-ups, confirming an average Time-to-Hire of 35 days.
| Manual Résumé Screening | Recruiters spent up to 50% of their time manually sifting through applications for keyword matches. | 5-7 days of initial unpredictable delay; high human error rate. |
| Sequential Interview Scheduling | Back-and-forth emails to coordinate calendars between candidates, recruiters, and hiring managers. | 3-4 days of dead time accumulated in scheduling alone. |
2. Future State (To-Be): The 19-Day AI Optimized Blueprint
The Dragon1 AI BPMN Process Architect generated the Future State model, embedding an automated AI scoring system, achieving a Time-to-Hire of 19 days (a 45% reduction).
| AI Scoring & Prioritization | AI instantly scores résumés against required competencies and cultural fit, presenting only top candidates to the recruiter. | Eliminated 100% of manual screening time and prioritized the queue. |
| Automated Interview Booking | Integration with scheduling AI allows top candidates to book a pre-qualified slot instantly. | Reduced scheduling lag by 75% by making it self-service. |