ITLINE Launches 'AI de Raraku Koshin', a New Service to Streamline Web Updates with AI
ITLINE Co., Ltd. is launching 'AI de Raraku Koshin,' a corporate AI service for website updates, on May 20, 2026. It leverages major LLMs and ensures safety through integrated approval workflows.
📋 Article Processing Timeline
- 📰 Published: May 21, 2026 at 01:00
- 🔍 Collected: May 20, 2026 at 16:32
- 🤖 AI Analyzed: May 20, 2026 at 16:33 (1 min after Collected)
## ITLINE Launches AI-Powered Web Update Support Service for Corporations
ITLINE Co., Ltd. (Headquarters: Minato-ku, Tokyo; Representative Director: Tomonobu Kodama) announced the launch of 'AI de Raraku Koshin,' a corporate AI service specialized for website update tasks, on Wednesday, May 20, 2026. This service allows users to simply convey update requests via chat or voice; the AI then supports the creation of drafts, which are then posted as drafts to a CMS after the staff member reviews them. Designed with approval flows, permission management, and log management, the system is built for secure enterprise operations.
## Background: Challenges in Website Update Tasks
Updating company websites, including news, recruitment, and product information, is a daily task that consumes significant time and effort when done manually. Challenges have surfaced, such as 'only those familiar with WordPress can perform updates,' 'internal approval flows becoming dependent on specific individuals,' and 'concerns over information leakage through personal AI use.' There is a strong demand for a mechanism that allows the use of AI while maintaining secure enterprise management.
## Service Overview and Features
'AI de Raraku Koshin' supports tasks from AI-based draft generation to CMS draft posting. The key feature is the operational design where 'humans review before publication' rather than 'AI publishing autonomously.' This achieves a balance between operational efficiency and security.
### Supported LLMs
The service primarily utilizes Claude via Amazon Bedrock but also supports integration with other major LLMs like ChatGPT (OpenAI) and Gemini (Google), depending on business requirements. A 'multi-LLM configuration' to utilize different models for different tasks can also be proposed.
### Operational Flow
1. Chat/Voice Input: Staff member provides instructions
2. AI Draft Generation: Creation of the publication draft
3. Review: Staff member reviews and edits the content
4. CMS Draft Posting: Automated registration into WordPress, etc.
5. Publication after Approval: Human finalized decision to publish
## Secure Design and Support Structure
Equipped with enterprise-grade security features like approval flows, permission management, and log management. While focusing on WordPress, the company also considers flexible support for other CMS platforms. ITLINE provides comprehensive support for optimizing web update workflows, including maintenance, improvement proposals, and operational manual creation.
The dedicated website for this service is: https://www.itline.co.jp/lp/rakuraku/
ITLINE Co., Ltd. (Headquarters: Minato-ku, Tokyo; Representative Director: Tomonobu Kodama) announced the launch of 'AI de Raraku Koshin,' a corporate AI service specialized for website update tasks, on Wednesday, May 20, 2026. This service allows users to simply convey update requests via chat or voice; the AI then supports the creation of drafts, which are then posted as drafts to a CMS after the staff member reviews them. Designed with approval flows, permission management, and log management, the system is built for secure enterprise operations.
## Background: Challenges in Website Update Tasks
Updating company websites, including news, recruitment, and product information, is a daily task that consumes significant time and effort when done manually. Challenges have surfaced, such as 'only those familiar with WordPress can perform updates,' 'internal approval flows becoming dependent on specific individuals,' and 'concerns over information leakage through personal AI use.' There is a strong demand for a mechanism that allows the use of AI while maintaining secure enterprise management.
## Service Overview and Features
'AI de Raraku Koshin' supports tasks from AI-based draft generation to CMS draft posting. The key feature is the operational design where 'humans review before publication' rather than 'AI publishing autonomously.' This achieves a balance between operational efficiency and security.
### Supported LLMs
The service primarily utilizes Claude via Amazon Bedrock but also supports integration with other major LLMs like ChatGPT (OpenAI) and Gemini (Google), depending on business requirements. A 'multi-LLM configuration' to utilize different models for different tasks can also be proposed.
### Operational Flow
1. Chat/Voice Input: Staff member provides instructions
2. AI Draft Generation: Creation of the publication draft
3. Review: Staff member reviews and edits the content
4. CMS Draft Posting: Automated registration into WordPress, etc.
5. Publication after Approval: Human finalized decision to publish
## Secure Design and Support Structure
Equipped with enterprise-grade security features like approval flows, permission management, and log management. While focusing on WordPress, the company also considers flexible support for other CMS platforms. ITLINE provides comprehensive support for optimizing web update workflows, including maintenance, improvement proposals, and operational manual creation.
The dedicated website for this service is: https://www.itline.co.jp/lp/rakuraku/
FAQ
Can I update content containing personal information?
Since the service is built on an enterprise-grade secure design, it can be managed according to each company's policy. Please discuss your specific needs during the design phase.
I use a CMS other than WordPress, can I use this?
Yes, you can. ITLINE will review the specifications and API capabilities of your CMS to propose the most suitable operational structure.
To what extent can I entrust decisions to AI?
The service is designed with the assumption that 'AI supports and humans finalize,' so final public release decisions are always made by humans.