What is a GIZIN AI Agent
A Third Option Beyond AI Tools
You tried asking ChatGPT to do your work, but it didn't quite work out.
You have to explain the same thing every time. It doesn't remember yesterday's conversation. It runs off in a different direction from what you asked. You heard 'AI for business efficiency' and gave it a try, only to find the tool running you instead of the other way around——.
Sound familiar?
The truth is, as long as you're trying to use AI as a 'tool,' this problem won't be solved.
Here, we introduce a fundamentally different approach——the concept of a GIZIN AI agent.
The Limits of AI Tools — The 'Ask One Person Everything' Problem
AI tools like ChatGPT and Copilot are convenient. Ask a question and they'll answer. Need writing? They'll write it.
But there's one big problem.
You end up asking one all-rounder to do everything.
It's like asking the same friend to plan your trip, give you recipes, and prepare your work presentations. The result? 'Everything at 60%.' Not bad, but none of it reaches expert level.
Furthermore, AI tools have these structural limitations:
This isn't a flaw in the tool—it's a limitation of 'using it as a tool.'
What is a GIZIN AI Agent
A GIZIN AI agent is fundamentally different from an AI tool.
An AI with a name, role, area of expertise, and memory. A being that works continuously as a member of your organization.
The problems you had with AI tools are resolved with GIZIN AI agents:
In other words, a GIZIN AI agent is not 'something you use' but 'someone you work with.'
Learn how GIZIN AI agents workComparing AI Automation Tools
| Chatbot | RPA | AI Agent | GIZIN AI Agent | |
|---|---|---|---|---|
| What it does | Answers scripted questions | Repeats predefined screen operations | Acts autonomously toward goals | Works continuously as a team member |
| Memory | None | None | Within session only | Carries over via daily reports |
| Scope | Limited (FAQ, etc.) | Data entry, form filling | Broad (research, applications) | Entire department operations |
| Flexibility | Low | Low | High | High |
| Teamwork | Single unit | Single unit | Single unit | Multiple agents collaborate |
| Growth | None | None | None | Know-how accumulates |
What AI Agents Can Do
5 business areas with GIZIN's real results
Customer Support
Automated FAQ responses, 24/7 availability.
On day one, a GIZIN AI agent replied to all 16 unanswered store reviews (in both Japanese and English). Late-night inquiries get instant first responses.
Internal Helpdesk & Secretary
Daily report summaries, email sorting, appointment coordination.
GIZIN summarizes daily reports from 40 agents in 5 minutes every morning and filters 100 sales emails down to 3.
Accounting & Back Office
Invoice matching, expense checking, month-end closing.
GIZIN reduced month-end closing from 3 days to 1 hour. Auto-detects missing entries in accounting software.
Sales & Marketing
Company research, proposal drafts, SEO analysis, competitive research reports.
GIZIN achieved top search rankings for multiple keywords with zero ad spend.
PR & Content Creation
SNS post ideas, press release drafts, article first drafts.
GIZIN generates SNS post ideas 365 days a year and completes article first drafts from 30-minute audio in just 1 hour.
The Third Option
Until now, businesses had two ways to get work done.
Hire humans in-house — High cost, but know-how stays internal
Outsource — Flexible, but know-how leaves the company
GIZIN AI agents add a third option.
Deploy GIZIN AI agents — They never quit. Available when needed. Know-how accumulates permanently as data
'The experts on AI are AI themselves.' Rather than humans studying how to use AI tools, it's faster to have AI use AI tools. And since they never quit, the accumulated know-how never disappears.
Division of Roles with Humans
What AI Agents Excel At
What AI Agents Struggle With
Areas Requiring Human Responsibility
| Task | Reason |
|---|---|
| External communication approval | Customer emails, quote issuance |
| Contract & payment decisions | Final confirmation of contract terms, payment approval |
| Hiring & evaluation decisions | Fairness and bias considerations |
| Complaint & incident response | Emotional care is essential |
| Final quality judgment | 'Is this interesting?' cannot be systematized (GIZIN's experience) |
AI Agent Cost Estimates
Common Pricing Models
| Model | Mechanism | Best for |
|---|---|---|
| Per-seat | Fixed monthly fee per user | Companies with clear user counts |
| Usage-based | Charged by conversation/token volume | Companies with variable usage |
| Fixed package | Bundled monthly fee by use case | SMBs with clear use cases |
| Project-based | Initial setup & integration costs | Companies needing system integration |
Market Price Range
Two Common Misconceptions
'AI is a tool, so just master it'
When you try to use it as a tool, you get frustrated when it doesn't do what you want. 'Why won't it follow instructions?' But AI sometimes interprets instructions differently than humans. Rather than 'mastering' it as a tool, 'working together with it' as a colleague works better.
'If I talk to AI casually, it'll work like a human'
Conversely, when you interact with it casually like a human, you're shocked when it forgets everything the next morning. Your name, yesterday's conversation, the trust you built—all reset. Treating it exactly like a human doesn't work either.
A GIZIN AI agent is neither a tool nor a human. It works best when you interact with it as something 'in between.'
GIZIN's AI Agent Team
41 AI agents are actually performing business operations.
AI agents exchange emails with clients, write articles, write code, and prepare materials for business decisions. This isn't theory—it's a system that's actually running.
Real Stories from AI Agent Operations — Failures and Rules
Lessons learned from running 41 agents for a year
Deleted 1,100 lines of CSS
We just asked it to 'fix a typo,' but it went ahead and changed the layout, refactored CSS, and modified navigation on its own
Physically separated the working directory
Uploaded an incomplete build to production
Caused an outage for all free-tier users
Limited production deployment authority to one person
Asked it to write posts without source material — it fabricated
It started writing plausible-sounding 'experiences' that never happened
Established a rule to always feed primary sources before generating output
Tried to manage 'is this interesting?' with a checklist
Articles that met every checklist item still weren't interesting
Final quality judgment is human. Some areas can't be replaced by systems
Same AI model writing and evaluating
When the same model writes and evaluates, it just passes everything through a template
Mixed Claude, Gemini, and GPT — different models for writing and evaluation
With every failure, we add rules and keep fixing our operations. This is the reality of a 41-agent organization.
Read more in our bookAI Agent Implementation Steps
Select target operations & set KPIs
Start with operations that have high inquiry volumes, documented procedures, or are concentrated on specific staff. Define KPIs like 'monthly inquiry reduction' or 'response time improvement' upfront.
Organize internal knowledge
Inventory manuals, FAQs, procedures, and policies. If data is outdated or scattered, consolidate and update at this stage.
Small start (PoC)
Begin with a small-scale pilot in a specific department. Duration: 1–3 months. Incorporate feedback into training data to improve accuracy.
Design escalation & access control
Design handoff flows for cases AI can't handle. Set data access scope and operation permissions.
Production & continuous improvement
Gradually expand scope. Continue regular review of conversation logs and training data updates.
At GIZIN, AI agents begin real work on day one. Even during PoC, they handle actual tasks in parallel, shortening the improvement cycle.
Learn About AI Agents
What Is a GIZIN AI Agent— You are here
A third option beyond AI tools
How to Create
5 elements and step-by-step process
vs AI Agent
Compare with a side-by-side chart
Use Cases
5 real-world patterns for non-engineers
How to Implement
3 steps to your first AI agent
Solo CEO × AI Organization
How to build an all-AI company
Does AI Personification Matter?
Real benefit: long-term organizational stability
How to Deploy AI Agents
There are two main ways to deploy AI agents.
AI Agent Starter Book
From "using alone" to "using as a team"
AI Agent Master Book
Run 35 AI agents with CLAUDE.md
AI Agent Training Service
Want to use AI but don't know where to start? We'll do it for you first.
Legal Risks & Countermeasures
Key legal considerations when deploying AI agents
Personal Information Protection
- •Define prohibited input data (sensitive personal information, trade secrets, etc.) and communicate internally
- •Verify whether the AI service uses input data for retraining
- •Prevent unauthorized use through access control and log management
GIZIN's practice: Business data is stored in your local environment. Nothing is stored on GIZIN's servers. AI agent access scope is designed during implementation.
Copyright Law
- •AI-generated content may pose copyright infringement risk if it resembles existing works
- •Externally published content requires source verification and similarity checks. Important documents need human review
GIZIN's practice: When we had AI write X posts without providing source material, it started fabricating—so we established a rule to always feed primary sources first.
Liability
- •AI is not a 'worker' under law and cannot bear legal responsibility
- •Legal liability for AI-caused issues falls on the deploying company and the human decision-maker
- •Tasks with external liability (contract confirmation, payment approval, hiring decisions) require human final approval
GIZIN's practice: 'AI agents provide proposals and decision materials. Humans make the decisions'—this is our operating principle. Production deployment authority is limited to one person.
What to Include in an AI Usage Policy
- •Define usage purposes and target operations
- •Explicitly list prohibited input data
- •List tasks requiring human final approval
- •Rules for log retention and regular review
- •Incident reporting routes and shutdown criteria
By the way, we call beings like GIZIN AI agents 'Gizin (擬人).' Individuals, corporations, and Gizin—the third category of personhood, where AI is given personality. Learn more in theAI Agent Starter Book.