In the staffing industry, chronic labor shortages and increasing workloads in job seeker support are compounded by a key challenge: the creation of 'recommendation letters'—documents critical to securing placements—which often heavily depend on the experience of veteran staff. Meanwhile, generative AI is already gaining traction, particularly in areas such as candidate matching and interview support. Comix Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Akihiro Suzuki) announces the launch of a new support service that automatically generates drafts of recommendation letters from recorded interview audio, enabling staffing agencies to shift toward more execution-focused operations. ■ Background and Challenges In the staffing industry, the 'recommendation letter (or comment)' submitted to employers on behalf of job seekers is a crucial document that significantly influences screening success and placement rates. However, because these letters must reflect the unique content of each candidate's interview, they are time-consuming to produce. Moreover, the quality of the letter often depends heavily on the individual advisor’s experience and skill, leading to inconsistent, person-dependent processes. With Japan’s effective job-to-applicant ratio remaining high at 1.25 in 2024, career advisors are handling an increasing number of job seekers simultaneously. Significant time spent on routine tasks, combined with difficulties in having other team members step in when the primary advisor is unavailable, has created operational bottlenecks. In this context, generative AI is increasingly being adopted as a 'digital assistant'—handling automatic transcription and summarization of interviews, and improving matching accuracy. This case study demonstrates how generative AI can address pressing challenges in staffing, offering a practical framework for companies in the early stages of AI exploration. ■ Offered Services | Overview of the Distributed Handbook 1) Design and Delivery of a