Dragon1 AI BPMN
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CxO Briefing: Talent Acquisition & HR

45% Faster Time-to-Hire via AI Résumé Screening

Recruiting and Talent Acquisition Process

How to eleiminate manual screening bottlenecks?

The Dragon1 AI Process Architect redesigned the recruiting pipeline, eliminating manual screening bottlenecks and improving candidate quality by 25%.

1. Current State (As-Is) - Manual Screening Queue

35 Days Time-to-Hire | High Recruiter Burnout

BPMN Diagram of the inefficient Current State Recruiting Process with manual résumé review

2. Future State (To-Be) - AI-Driven Qualification

19 Days Time-to-Hire | Focus on Candidate Experience

BPMN Diagram of the optimized Future State Recruiting Process with automated AI candidate scoring

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Immediate Payback Justification

85% Modeling Efficiency: The Cost of Doing Nothing

45%

Reduction in Time-to-Hire (TTH) for key strategic roles.

25%

Improvement in candidate quality score, reducing 6-month turnover.

0

Recruiter time spent on initial, manual résumé screening.

The Enterprise Result: Transformation Metrics

45%

Faster Time-to-Hire (TTH).

Directly reduces costs associated with open roles and time-to-productivity.

Automated

Initial Candidate Qualification.

AI pre-filters candidates, allowing human recruiters to focus on engagement and cultural fit.

Talent Focus

Recruiter Role Shift to High-Value Interaction.

The documented BPMN model clearly redefined human vs. AI tasks, optimizing team structure.

Detailed Process Comparison: Before and After AI

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 ScreeningRecruiters 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 SchedulingBack-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 & PrioritizationAI 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 BookingIntegration with scheduling AI allows top candidates to book a pre-qualified slot instantly.Reduced scheduling lag by 75% by making it self-service.

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