Sports Field Adopts Marketing AI OS 'ENSOR' to Balance Governance and Productivity

REHATCH Inc. announced the implementation of its marketing AI OS, 'ENSOR', at Sports Field Co., Ltd. Facing tight creative production schedules and executive concerns regarding generative AI risks, Sports Field valued ENSOR's governance features and operational design. The implementation aims to reduce monthly workloads by 20 hours per employee and establish a zero-copyright-risk operational structure.
導入NQ 77/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: June 3, 2026 at 00:43
  • 🔍 Collected: June 2, 2026 at 15:50
  • 🤖 AI Analyzed: June 2, 2026 at 16:12 (21 min after Collected)
REHATCH Inc. (Headquarters: Chiyoda-ku, Tokyo, Representative Director: Ryota Sakoda) has announced the implementation of its marketing AI OS, 'ENSOR', at Sports Field Co., Ltd. (Headquarters: Tokyo, Employees: 335).

Sports Field Co., Ltd. is a company whose core business is recruitment support for sports-related human resources, operating new graduate and mid-career placement services as well as its own job media platforms (Spojoba, SponaviCareer, etc.). With 335 employees and corporate sales of 4.78 billion yen (consolidated: as of the end of December 2025), it boasts a wealth of recruitment support achievements. The company began using ENSOR in February 2026.

As background to the implementation, the company was facing tight internal schedules due to the expanding demand for advertising creatives. Meanwhile, the management team was highly concerned about the copyright and portrait rights risks, as well as quality inconsistencies, associated with generative AI, taking a cautious stance on 'unrestricted AI use.' In early 2026, coinciding with the contract timing before vendor price increases, internal decision-making proceeded conditionally upon 'having a system that can ensure governance.'

Prior to implementation, challenges included tight schedules due to production tasks preventing staff from focusing on planning and creative work; the inability to control copyright infringement and quality risks through free-text input in general-purpose AI, leading to a lack of executive approval; and a lack of time for field staff to learn prompt engineering from scratch, making post-implementation adoption uncertain.

The decisive reason for choosing ENSOR, and what secured executive approval, was its ability to 'solve problems through AI generation while reducing risks in accordance with the company's internal rules.' Furthermore, its operational design, which allows usage to begin while minimizing the time required for staff to learn prompting, perfectly matched the realities of a busy workplace.

Following the implementation of ENSOR, the company is targeting a workload reduction of 20 hours per month per employee (a committed goal to the executive team). Additionally, by establishing a workflow where AI-generated content is treated as a 'rough draft' to be modified and refined by staff before final delivery, they aim to build an operational structure with zero copyright risk. Through repeated effectiveness verification at monthly regular meetings, they are also aiming for a 30% improvement in CPA (Cost Per Acquisition).

ENSOR is an AI creative generation platform for marketers built on the concept of 'AI that mass-produces winning banners - a marketing OS that continues to learn.' It can execute everything from creative strategy planning to integration and generation in one-fifth of the conventional time, functioning as a marketing AI OS that integrates data scattered across ads, Google Analytics, etc., for AI to perform real-time analysis and suggest strategic improvements.

Major features:
- AI Editing: High-quality design generation, allowing revisions in 3 minutes and submission completion in 10 minutes, including background replacement and horizontal deployment.
- Rough Draft Creation: Dialog with brand-aware AI to generate optimal appeals and copy.
- Video Generation: Easily turns static banners into videos with various expressions like background movement, character motion, CTA button animation, and overall effects.
- LP Generation: Acquire highly complete landing page images and implementation code through chat-based interaction with AI.
- Data Integration: Consolidates multiple marketing data sources, utilizing them from analysis to strategy improvement.
- Brand Tone and Manner: Automatically extracts colors, fonts, and tone simply by entering a URL.
- Brand Check: Centralizes planning and reviews, with AI automatically checking ad expression rules and brand compliance.
- Templates: Choose from over 100 templates for creative production tailored to specific industries and uses.

FAQ

What AI tool did Sports Field Co., Ltd. implement?

They implemented 'ENSOR', a marketing AI OS provided by REHATCH Inc.

What was the deciding factor for implementing ENSOR?

The ability to ensure governance to reduce risks like copyright infringement, and an operational design that requires minimal prompt learning for staff.

What are the targeted effects of the implementation?

They aim for a workload reduction of 20 hours per month per person and a 30% improvement in CPA (Cost Per Acquisition).