Automating 'Candidate Recommendation Letters' in Staffing with Generative AI: Eliminating Dependency on Individuals and Improving Efficiency

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 Semi-Automated Recommendation Letter Generation Workflow

Comix Inc. has launched support services to design and deliver a semi-automated workflow for generating recommendation letters using staffing agencies’ interview data.

• Extract audio-only (m4a) from online interviews (Zoom)

• Input the audio file and a specialized prompt into generative AI (Google AI Studio / Claude)

• Automatically generate a transcript and draft recommendation letter (with formatting rules for names, honorifics, and addressee)

• Incorporate staffing-specific considerations into the prompt, such as willingness to relocate or commute, and whether the candidate is sought for immediate impact or potential

• Systematize procedures and prompts so that consistent quality can be maintained regardless of which staff member performs the task

2) Expansion of 'Generative AI Support Package' to Execution Support Model

Comix is expanding its existing generative AI support plan to an 'execution support' model, with Comix handling practical implementation tasks.

• Automatic import of job postings (automatically extract from multiple formats into spreadsheets)

• Automated candidate matching (AI identifies optimal companies based on candidate criteria)

• Automated job status management (automatically close expired job postings)

Inquiries about generative AI support

Contact us regarding this article

Key Features and Strengths

• Field-driven design: Prompts reflect real-world staffing scenarios, ensuring practical applicability

• Organizational knowledge capture: Standardizes recommendation quality, eliminating reliance on individual veterans

• Practical solutions to adoption barriers: Using audio instead of video reduces data size, avoids generative AI input limits, and speeds up processing

• Small-scale start approach: Begins with automating a single task (recommendation letters), with phased expansion to broader workflow automation

Target Users and Use Cases

Target Users

• Executive management at staffing agencies

For those seeking to improve labor shortages and reduce workloads by establishing a clear ROI on AI investment

• Frontline managers (managers, team leaders)

For those aiming to standardize recommendation quality, handle staff absences, and improve new employee training efficiency

• Career advisors (frontline staff)

For those wishing to reduce time spent on documentation and focus on core tasks such as candidate interviews and employer proposals

Use Cases

• Indirect tasks: Automated generation of recommendation letters, automatic transcription from interview audio, automatic import of job postings

• Frontline operations: Optimal matching between candidates and employers, automated job status management

• Organizational strengthening: Building a knowledge base by systematizing veteran expertise, ensuring business continuity during staff absences

Future Outlook

Comix Inc. is committed to ensuring that generative AI adoption in staffing goes beyond mere implementation. The company provides comprehensive, hands-on support to help teams fully integrate and master AI tools. The semi-automation of recommendation letters is just the first step. Comix plans to expand automation to job posting imports and matching processes, aiming to streamline the entire staffing workflow. Because staffing is fundamentally a 'people-facing' profession, Comix will continue supporting the shift of routine tasks to AI—freeing human talent to focus on the uniquely human aspects of the job.

Inquiries about generative AI support

Contact us regarding this article

ーーーComix Inc. Company Overviewーーーーーーー

Headquarters: 2F, Kondo Building, 15-4 Maruyama-cho, Shibuya-ku, Tokyo

Representative: Akihiro Suzuki, CEO

Founded: September 2007

Business Activities: Generative AI productivity enhancement support, B2B sales support, freelance professional staffing

Web: https://www.comix.co.jp/

Comix Academy: https://www.comix.co.jp/academy/

【Contact】

TEL: 03-5459-5394 MAIL: n.adachi@comix.co.jp Contact: Naruo Adachi, Comix Inc.