Use
Cases AI Implementation Support Use Cases
What kinds of companies can use AI, for what kinds of work, and how. We have gathered use cases for AI implementation support by company size and department, including examples for local governments. You can filter them by size and type of business.
Generative AI and agents we have in mind
- Conversational generative AI
- ChatGPTClaudeGeminiPerplexity
- AI built into business tools
- Microsoft 365 CopilotGemini for Google WorkspaceNotion AINotebookLM
- Development and agents
- Claude CodeCodexCursorOpenAI API, Claude API, Gemini API
- Workflows
- Difyn8nZapier
We choose tools to fit your work and security requirements. Product names are trademarks of their respective companies.
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Make routine work more efficient
PR department of a manufacturer
A system for drafting press releases with AI
Based on past releases and style rules, AI creates draft text and headline ideas, and a person reviews and finalizes them. We set up this flow.
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Make content operations more efficient
Marketing department of a service company
Running owned media strong in AI search and SEO
We check how the company appears in AI search, and switch to AI-assisted operations, from planning and drafting articles to preparing structured data.
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Standardize proposal work
Sales department of an IT company
Building a proposal outline from meeting notes
From meeting notes, AI organizes the proposal outline and quote items, aligned with the company’s templates.
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Make internal information easier to find
HR department of a financial or insurance company
An internal knowledge base that answers policy questions with sources
We organize regulations and manuals into knowledge AI can work with, and build an internal system that answers with sources shown.
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Make routine work more efficient
Customer support at a telecom company
Draft reply support for customer inquiries
AI creates draft replies from past answers, and staff check them before sending. We set up this flow.
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Set the direction for AI use
Corporate planning and DX promotion office of a trading company
Companywide AI policy and usage rules
We map out each department’s work and design the order of efforts, usage rules, and promotion structure.
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Improve how the brand appears
Brand division of a consumer goods maker
Monitoring and improving how your brand appears in AI search
We regularly check how the brand is treated in AI search answers and which sources are cited, and improve the website and communication accordingly.
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Deliver information overseas
Tourism and inbound travel company
Making a WordPress site multilingual
AI translates published articles and pages, and we set up per-language URLs and search settings (hreflang, sitemaps).
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Make AI use stick
Talent development department of a large company
Training materials built from internal documents, with learning records
AI creates evidence-based materials from internal documents, and we make distribution, evaluation, records, and improvement one flow.
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Make AI use stick
Whole company at a large enterprise
Training that lets employees automate work with AI
Through materials and practice, employees learn to build systems that automate work with AI on their own.
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Make resident services more efficient
Resident service counter of a city or ward
An FAQ that answers resident inquiries with sources
We organize procedure guides, ordinances, and guidelines into knowledge AI can work with, and create draft answers with sources shown. Staff check them before giving guidance.
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Reach a wider audience
Public relations division of a local government
Multilingual notices and plain Japanese
AI rewrites newsletters and web notices into foreign languages and plain Japanese. We prepare a glossary and style rules, and staff review before publication.
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Start using it safely
Planning or DX division of a local government
Generative AI usage guidelines and staff training
We decide what information may be entered (handling of personal information), which tools may be used, and how to check output, and spread department-specific usage through staff training.
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Make routine work more efficient
Assembly secretariat
Drafting and summarizing meeting minutes
AI creates drafts of transcripts and summaries from meeting recordings, and staff check speakers and notation before publication.
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Make routine work more efficient
Regional manufacturer
Lightening order and inquiry paperwork
We hand routine replies and document drafts to AI so that people can focus on checking and judging.
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Bring data together for use
E-commerce business
Profitability reports that combine sales and ad spend
We reconcile sales, advertising, points, and other data and automatically compile profitability by day and by product.
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Build AI into the product
Startup working on a new business
Rapid prototype (MVP) development and validation with AI
We build a prototype in a short time and, through a proof of concept, check how users respond before moving to full development.
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Make AI use stick
Startup with a growing headcount
AI-powered operations manuals and onboarding
We document the flow of work and build a system where new members learn the work by asking AI.
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Make routine work more efficient
Real estate company running vacation rentals and lodging
One place for reservations, guest messages, and cleaning
Connected to booking sites, it has AI draft replies to guest messages, and manages even the progress of cleaning and tasks on a single screen.
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Make production progress more efficient
Advertising or production company
Centralized management of web production revisions and reviews
We collect revision requests and comments in the browser and manage everything through confirmation of changes together.
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Standardize proposal work
Consulting firm or agency
A system that creates proposals and quotes from client interviews
From meeting materials and interview content, AI creates drafts of AX/DX initiatives, quotes, and proposals.
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Make content operations more efficient
Company running owned media
Making a WordPress site static and preparing information for AI
We turn public pages into static HTML to speed up display, and prepare image optimization and information in a form AI can easily read.
All of these are hypothetical examples, not actual implementation cases. The approach and the effects vary depending on the work and the environment.