wib Co., Ltd. Launches "Sikumika," an AI Utilization Systematization Support Program, Recruiting Monitor Companies
wib Co., Ltd. has launched "Sikumika," a program to systematize AI utilization within organizations, and is now recruiting monitor companies.
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 20:00
- 🔍 Collected: April 1, 2026 at 16:47
- 🤖 AI Analyzed: April 17, 2026 at 13:57 (381h 9m after Collected)
wib Co., Ltd. (Headquarters: Kojima, Taito-ku, Tokyo; hereinafter "wib") has launched "Sikumika" (https://sikumika.jp), a business systematization program that helps organizations establish AI utilization, and will begin offering it on April 1, 2026.
In conjunction with the service launch, we are also starting to recruit monitor companies.
*Please inquire via the link below for monitor recruitment, which allows you to use the service at a special rate.

Background of the New Service Launch
Generative AI is rapidly gaining traction as an effective means for companies to improve operational efficiency and productivity.
However, PwC Japan Group's "Generative AI Survey 2025 Spring: 5-Country Comparison" indicates that while Japanese companies are progressing in generative AI utilization, only a limited number of companies are experiencing "effects significantly exceeding expectations," showing a polarization of results. At wib, we believe the challenge lies not in whether AI is introduced, but in how it is integrated into on-site operations and how it is established.

In actual workplaces, common issues include:
・"AI was introduced, but its utilization is limited to a few employees."
・"Usage methods vary by task, leading to inconsistencies in quality."
・"Internal rules and knowledge are not organized, making it difficult to incorporate AI into operations."
Through its past support, wib has come to understand that the success or failure of AI utilization depends not on the tool itself, but on "the design of operations and information." Based on this idea, "Sikumika" is a service designed to transform AI utilization from "individual ingenuity" to an "organizational system" by breaking down and organizing person-dependent tasks and redesigning them into a format that AI can utilize.
What is "Sikumika"?
From task inventory and visualization to workflow design, knowledge base development, manual/procedure creation, operational testing, and improvement support, we provide end-to-end assistance, integrating AI utilization according to each company's practical needs.
Rather than simply supporting the acquisition of AI tools, its characteristic features include designing and implementing:
"Which tasks to entrust to AI and which decisions humans should make"
"How to organize information that AI can refer to"
"How to implement it in a way that works smoothly on-site"
up to that point.
Main Features of Sikumika

1. Transforming person-dependent tasks into "company assets"
We visualize tasks where methods differ by person or depend on the experience of veterans, and organize them into reproducible business processes. This supports the creation of a system that is less likely to be disrupted even if personnel are transferred, retired, or take leave.
2. Developing AI-utilizable workflows and knowledge
We divide existing tasks into "processes to be entrusted to AI" and "decisions to be made by humans," and design new AI-centric workflows. Simultaneously, we structure tacit knowledge, rules, and judgment criteria within the company into a format that AI can refer to, and organize them as a knowledge base.
3. Continuous support until on-site adoption
We provide continuous support from design and document creation to test operation, improvement, and on-site onboarding. A dedicated person is assigned to assist in creating operations that are smoothly adopted on-site through bi-weekly meetings and chat consultations.
Support Details
With "Sikumika," we start with the most effective theme after interviewing the company's situation. Support content includes the following:
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Task inventory and visualization
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Business workflow design
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Internal knowledge base construction and maintenance
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Creation of business manuals and procedures
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Test operation and improvement support
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Regular meetings and chat consultations

Recruitment of Monitor Companies (Paid)
In conjunction with this launch, we are recruiting monitor companies.
Monitor companies will be asked to cooperate in providing feedback for service improvement while introducing the "Sikumika" support process based on their actual operations.
This service is suitable for companies that have introduced generative AI but whose utilization is person-dependent, companies that want to incorporate AI into their business processes, and companies that feel challenges in standardizing operations or handover systems.
*Monitor companies will be offered the service at a special discount from the regular price. Please inquire via the form for details.
Comment
Yuta Watari, Representative Director, wib Co., Ltd.
While the adoption of generative AI has spread rapidly, many challenges remain in actual workplaces, such as "only a few employees can use it effectively," "it's not integrated into business workflows," and "internal knowledge is not organized, leading to no results." We believe that the success or failure of AI utilization depends not on the tool itself, but on the design of on-site operations and information.
"Sikumika" is a service designed to transform AI from "a convenient tool for individuals" into "a system that operates within the organization" by visualizing and standardizing person-dependent tasks and supporting their establishment on-site. We will leave assets such as business workflows, procedure manuals, checklists, handover documents, and AI utilization templates with companies, supporting the creation of a system that is less likely to stop even if personnel change.
Going forward, we aim to further refine the service through its provision to monitor companies, accumulate expertise for each industry and business theme, and create a state where more companies can utilize generative AI smoothly on-site. wib will continue to support "the creation of strong, reproducible organizations that do not rely too heavily on individuals."
Contact Information
For inquiries and consultations regarding the service, please use the form below.
Our sales representative will contact you within approximately 2 business days.
We will explain the service and propose the optimal plan after interviewing your situation.
・Service website: https://sikumika.jp/
・Inquiries: https://sikumika.jp/#contact
Representative's Profile
Yuta Watari
Graduated from Tohoku University, Faculty of Economics. After working at Sojitz Corporation, he has consistently been involved in business development for B2B startups since 2014. He served as a director at Unilabo Co., Ltd. (now PRONI) and an executive officer at Caster Co., Ltd., among others. Since 2023, he has been engaged in advisory, investment activities, and hands-on support for startups and SMEs through wib Co., Ltd., which he founded. He also works as a Small and Medium Enterprise Management Consultant registered with the Ministry of Economy, Trade and Industry.
X (formerly Twitter): https://x.com/watari922
Company Overview
Name: wib Co., Ltd.
Established: October 26, 2018
Representative Director: Yuta Watari
Address: 302, 2-19-10 Kojima, Taito-ku, Tokyo 111-0056
Business Activities: Creating amazing businesses, IT service planning, startup investment, management consulting
Company HP: https://wib.co.jp/
FAQ
What problems does Sikumika solve?
It resolves issues like uneven AI utilization, person-dependent processes, and lack of knowledge after AI introduction, building a system for organization-wide AI use.
What are the benefits of becoming a monitor company?
Monitor companies receive a special discount on the service and can establish AI utilization while contributing to service improvement.
Which types of companies are suitable for Sikumika?
It's suitable for companies where generative AI utilization is person-dependent, those wanting to integrate AI into business processes, and those facing challenges in operational standardization.