United StatesFinance and insurance2024 – ongoingRegions Financial
AI candidate sourcing and recruiter response drafting
Regions used AI to find previous applicants for specialist roles and draft recruiter replies
Problem
Recruiters faced large applicant pools and specialist vacancies. Previous applicants could be relevant to new openings, but sourcing often started again from scratch.
Approach
Regions used AI to search historical candidate data for people suited to specialist roles. Recruiters also used Phenom X+ to draft answers to applicant questions. The bank's HR technology leader reported faster candidate responses and more efficient sourcing.
Results
No published figures
Takeaway
The tools supported recruiters at both sourcing and communication stages. Regions did not disclose a numerical reduction in hiring time.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Human resources
- Innovation type
- Process innovation
- AI technology
- Generative AIRecommendation and personalization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Phenom reported Regions' use of candidate-database searches and generative response drafts. Its account quoted the bank's HR technology leader describing improved recruiter efficiency without numerical results.
Full details are in the original sources.
