Persol Career Enhances Job Posting Speed and Quality Stability with Internal AI Product
Persol Career has developed a generative AI-based 'Job Posting Auto-Creation App.' By using LLM to generate job postings based on information collected from ATS, the company reduced the lead time to publication by an average of 0.85 days. The initiative combines human expertise with AI efficiency to improve job quality and matching accuracy.
📋 Article Processing Timeline
- 📰 Published: May 22, 2026 at 19:00
- 🔍 Collected: May 22, 2026 at 10:31
- 🤖 AI Analyzed: May 27, 2026 at 11:42 (121h 10m after Collected)
Persol Career Co., Ltd., provider of the job search service 'doda,' has developed a 'Job Posting Auto-Creation App' utilizing generative AI for internal Recruiting Advisor (RA) operations.
As an internal business support tool, this product standardizes the process from information gathering to the creation of job postings. All auto-generated postings are polished and finalized by RAs and verified against departmental screening criteria before being published.
Through this automation, the company provides client firms with shorter lead times for publication on 'doda' and stabilizes the quality of job postings. For job seekers, it ensures more rapid access to the latest job information, aiming to improve matching accuracy and maximize recruitment outcomes for companies.
■ Benefits to Customers
1. Shorter Lead Time to Publication
By identifying new hiring needs via ATS and automatically creating job postings using LLM, the app reduces the lead time to publication. Analysis showed an average reduction of 0.85 days in lead time for job postings from new client companies.
2. Stabilization of Job Posting Quality
Quality is ensured and improved by referring to existing published postings under similar conditions. Furthermore, the combination of LLM and rule-based generation leads to more consistent and stable job posting quality.
Persol Career aims to accelerate data utilization and technology advancement in the HR field, promoting solutions for labor and employment issues to realize its mission: 'Empowering people to own their work.'
As an internal business support tool, this product standardizes the process from information gathering to the creation of job postings. All auto-generated postings are polished and finalized by RAs and verified against departmental screening criteria before being published.
Through this automation, the company provides client firms with shorter lead times for publication on 'doda' and stabilizes the quality of job postings. For job seekers, it ensures more rapid access to the latest job information, aiming to improve matching accuracy and maximize recruitment outcomes for companies.
■ Benefits to Customers
1. Shorter Lead Time to Publication
By identifying new hiring needs via ATS and automatically creating job postings using LLM, the app reduces the lead time to publication. Analysis showed an average reduction of 0.85 days in lead time for job postings from new client companies.
2. Stabilization of Job Posting Quality
Quality is ensured and improved by referring to existing published postings under similar conditions. Furthermore, the combination of LLM and rule-based generation leads to more consistent and stable job posting quality.
Persol Career aims to accelerate data utilization and technology advancement in the HR field, promoting solutions for labor and employment issues to realize its mission: 'Empowering people to own their work.'
FAQ
「求人票自動作成アプリ」の主な目的は何ですか？
求人票作成プロセスの標準化、公開までのリードタイム短縮、および求人票品質の安定化を目的としています。
AIが作成した求人票はそのまま公開されますか？
いいえ。リクルーティングアドバイザー（RA）による磨き込み・最終確認に加え、担当部署による審査基準（掲載基準や法律遵守）に基づく確認を行った上で公開されます。
このアプリを導入したことで、具体的にどのような効果がありましたか？
分析の結果、新規取引企業の求人を対象に、公開までのリードタイムが平均0.85日短縮される傾向が確認されました。
求人票作成に必要な情報はどのように収集していますか？
企業が利用する採用管理システム（ATS）から自動で情報を収集しています。
求人票の品質をどのように安定させていますか？
新規求人と同一条件下の公開済み求人を参照しながら、LLMとルールベースを組み合わせて作成することで、一貫性のある高品質な求人票を実現しています。