What is PinotWalk
AI-First Knowledge Creation Platform
Unlock your creativity with your private secretaries
- You can find the presentation materila here.
Paradigm Shift in Knowledge Creation
─────────────────────────────────────
AI as executor, humans as orchestrators
Executive Summary
Paradigm Shift in Knowledge Work
Traditional AI Usage: Humans as workers, AI as assistant
flowchart LR
subgraph Before[Traditional AI Usage]
direction LR
H1[👤 Human] -->|Research| H2[👤 Human]
H2 -->|Write| H3[👤 Human]
H3 -->|Edit| H4[👤 Human]
H4 -->|Save| H5[📁 File]
AI1[🤖 AI] -.->|Assist| H1
AI2[🤖 AI] -.->|Assist| H2
AI3[🤖 AI] -.->|Assist| H3
end
PinotWalk's World: AI as executor, humans as orchestrators
flowchart TB
Human[👤 Human<br/>Orchestrator] -->|Set direction<br/>Judge quality| PS
subgraph PS[PinotWalk]
direction LR
R[Research] --> A[Analyze] --> W[Write] --> E[Edit] --> S[Save]
S --> KB[(Knowledge Base)]
KB -->|Knowledge cycle| R
end
PS --> Output[🎯 Finished Product]
Humans focus on "what to create" while AI handles "how to create it."
| Metric | Impact |
|---|---|
| Report creation time | Reduced to 1/5 - 1/10 |
| Time to decision | 3x faster |
| Knowledge reuse rate | Past assets automatically utilized |
Your Challenges
Where Does Knowledge Workers' Time Actually Go?
pie showData
title Knowledge Worker Time Allocation
"Research & Information Gathering (Task)" : 40
"Document Creation & Writing (Task)" : 45
"Essential Thinking & Decision-Making" : 15
85% of time is consumed by "tasks"
| Common Challenges | Impact |
|---|---|
| Starting research from scratch every time | Past research is not leveraged |
| AI outputs remain just "raw material" | Humans still need to process and refine |
| Knowledge trapped in individuals | Knowledge lost when employees leave or transfer |
| Information overload | Critical information gets overlooked |
What is PinotWalk?
Knowledge Creation Cycle
flowchart LR
subgraph Phase1[1. Ideation]
P1[👤 Human sets<br/>the theme]
end
subgraph Phase2[2. Creation]
P2[🤖 AI researches<br/>& writes]
end
subgraph Phase3[3. Refinement]
P3[👤 Human reviews<br/>& supervises]
end
subgraph Phase4[4. Storage]
P4[🤖 AI auto-saves]
end
subgraph Phase5[5. Circulation]
P5[📚 Leverage stored<br/>knowledge for<br/>next creation]
end
Phase1 --> Phase2 --> Phase3 --> Phase4 --> Phase5
Phase5 -->|Gets smarter with use| Phase1
4 Specialized Secretaries + Knowledge Base = Fundamentally Transform Your Organization's Intellectual Productivity
Meet the Secretaries
4 Specialists, Each Covering Their Domain
| Secretary | Role | Capabilities |
|---|---|---|
| Seraphina | Secretary of Insight | Comprehensive research tailored to objectives, logical scenario structuring, high-quality report creation |
| Gaia | Secretary of Intelligence | Business analysis of large-scale data, document proofreading & improvement, conversation-based editing |
| Astra | Secretary of Integration | Trade-off resolution, conflict visualization, integrated solution design |
| Aria | Secretary of Harmony | Schedule coordination, follow-up management, cross-team collaboration |
Astra's Uniqueness: Analysis & Design Phase in Hours
Does your company have systems like this?
┌─────────────────────────────────────────────────────────────────┐
│ │
│ 📦 20-year-old Mainframe │
│ ↓ patched │
│ 📦 10-year-old Web System │
│ ↓ patched │
│ 📦 5-year-old Cloud Migration (stalled midway) │
│ ↓ patched │
│ 📦 Last year's API Addition │
│ │
│ → Chimera-like System │
│ → "Howl's Moving Castle" state: No one knows why it works │
│ │
└─────────────────────────────────────────────────────────────────┘
Traditional Approach: USD 1mn Project, Still Risk of Failure
| Phase | Duration | Cost | Common Outcome |
|---|---|---|---|
| Current State Survey & Interviews | 3 months | USD 300K | So far, so good |
| Architecture Concept | 3 months | USD 400K | Stale proposals that are just minor modifications to existing systems |
| Migration Planning | 2 months | USD 300K | Feasibility remains questionable |
| Total | 8 months | USD 1mn | May not achieve satisfactory results |
Astra's Approach: Systematic Analysis × Essential Solutions
sequenceDiagram
participant U as 👤 User
participant A as 💎 Astra
participant KB as 📚 Knowledge Base
U->>A: I want to conceptualize next-gen architecture for our legacy system
rect rgb(240, 248, 255)
Note over A: Phase 1: Problem Structure Visualization
A->>A: Visualize current system structure as As-Is diagram
A->>A: Systematically organize problem-cause pairs
A->>KB: 📄 Save current state analysis document
end
rect rgb(255, 248, 240)
Note over A: Phase 2: Conflict Structure Discovery
A->>A: Identify trade-offs like "Cost vs Quality",<br/>"Speed vs Safety"
A->>A: Structurally analyze why previous renovations failed
A->>KB: 📄 Save conflict structure analysis
end
rect rgb(240, 255, 240)
Note over A: Phase 3: Integrated Solution Design
A->>A: Design new architecture that resolves conflicts
A->>A: Compare and evaluate multiple migration scenarios
A->>U: Present To-Be design + migration roadmap
A->>KB: 📄 Save all documents
end
Note over U,A: After gathering information, analysis & design completes in hours
| Aspect | Traditional Consulting | Astra |
|---|---|---|
| Information Gathering | 3 months | 3 months (same as before) |
| Analysis & Design | 5 months, JPY 70mn | A few hours |
| Quality | Depends on individual skills | Systematic & comprehensive |
| Proposals | Tend to be incremental | Presents ideal solutions |
| Traceability | Reports only | Entire analysis process documented |
Astra doesn't analyze "which is better, A or B."
Astra designs "a new structure that achieves both A and B."
Traditional AI compares options. Astra creates solutions that transcend options.
With sufficient information, analysis & design worth tens of millions of yen is completed in hours.
Seraphina Example: Market Entry Report
sequenceDiagram
participant U as 👤 User
participant S as 📊 Seraphina
participant KB as 📚 Knowledge Base
U->>S: I want to decide whether to enter the domestic subscription market
S->>S: Comprehensive research on market size, competitors, regulations
S->>S: Design 3 logical scenarios
S->>U: Present comparison in matrix format
U->>S: Create detailed report for Scenario B
S->>S: Create report with chapters, evidence, and recommendations
S->>U: Deliver high-quality report
S->>KB: Auto-save
Note over KB: This knowledge will be<br/>auto-referenced in future research
Gaia Example: Large-Scale Business Analysis
Tasks that traditionally take 1 month are completed in hours. And the entire process is traceable.
sequenceDiagram
participant U as 👤 User
participant G as 📈 Gaia
participant KB as 📚 Knowledge Base
U->>G: Categorize MHLW clinical trial pipeline (thousands of items)<br/>and analyze market potential
rect rgb(240, 248, 255)
Note over G,KB: Phase 1: Analysis Plan Development
G->>G: Design analysis approach
G->>KB: 📄 Save analysis specification
G->>U: Present analysis plan
U->>G: OK with this approach
end
rect rgb(240, 255, 240)
Note over G,KB: Phase 2: Analysis Execution (Save intermediate outputs progressively)
G->>G: Auto-classify all therapeutic areas
G->>KB: 📄 Save classification results
G->>G: Research market size for each category
G->>KB: 📄 Save market research data
G->>G: Calculate future potential & valuation
G->>KB: 📄 Save valuation rationale
end
rect rgb(255, 248, 240)
Note over G,KB: Phase 3: Final Report
G->>U: Analysis report complete (in hours)
G->>KB: 📄 Save final report
end
Note over KB: All intermediate outputs preserved<br/>Analysis accuracy fully traceable
Overwhelming Differentiation: Complete Traceability
flowchart LR
subgraph Traditional AI Analysis[Traditional AI Analysis]
direction TB
I1[Input] --> B1[Black Box] --> O1[Result]
B1 -.-x|Unverifiable| V1[❌]
end
subgraph Gaia[Gaia Biz Analysis]
direction TB
I2[Input] --> P1[📄 Analysis Spec]
P1 --> P2[📄 Intermediate Outputs]
P2 --> P3[📄 Final Report]
P3 --> V2[✅ Fully Traceable]
end
style B1 fill:#fee,stroke:#c33
style V1 fill:#fee,stroke:#c33
style V2 fill:#efe,stroke:#3a3
| Aspect | Traditional AI | Gaia Biz Analysis |
|---|---|---|
| Analysis Plan | None (immediate results) | Execute after user agreement |
| Intermediate Outputs | Not preserved | Auto-saved to Blog/Files |
| Traceability | Black box | Every step verifiable later |
| Audit Support | Impossible | Fully supported |
| Analysis Task | Traditional Effort | Gaia | Reduction |
|---|---|---|---|
| Clinical Pipeline Analysis (thousands) | 1 month | Hours | 99% |
| Competitor Product Mapping | 2 weeks | 3 hours | 98% |
| Market Segment Classification | 1 week | 2 hours | 97% |
Gaia transforms "quantity" into "quality" — achieving both speed and accuracy.
Every process is recorded, and analysis rationale can be traced later. This is the "trustworthy AI" enterprises demand.
Why PinotWalk
The Fundamental Difference: Role Reversal
Traditional AI Tools: AI output is "raw material" → Humans edit, process, and save
flowchart LR
U1[👤 User] -->|Question| AI1[🤖 AI]
AI1 -->|Answer<br/>Raw Material| U2[👤 User processes]
U2 -->|Manual| Save1[📁 Save]
Save1 -.-x|Disconnected| Next[Start from zero next time]
style Save1 fill:#fee,stroke:#c33
style Next fill:#fee,stroke:#c33
PinotWalk: AI output is "finished product" → Humans focus on review and quality judgment
flowchart LR
U1[👤 User] -->|Theme| AI1[🤖 AI]
AI1 -->|Finished Product| U2[👤 User reviews]
U2 --> Save1[💾 Auto-Save]
Save1 --> KB[(📚 Knowledge Base)]
KB -->|Knowledge Circulation| AI1
style KB fill:#efe,stroke:#3a3
style Save1 fill:#efe,stroke:#3a3
The 4 Elements Unique to PinotWalk
flowchart TB
subgraph Unique[A Combination That Exists Nowhere Else]
direction TB
A[① Specialized Secretaries<br/>Division of Research, Editing, Integration, Support]
B[② Finished Product Output<br/>Quality That Only Requires Supervision]
C[③ Knowledge Circulation<br/>Organizational Assets That Grow Smarter With Use]
D[④ Creative Integration<br/>Designing Solutions Beyond Trade-offs]
A --- B
B --- C
C --- D
end
style A fill:#e3f2fd
style B fill:#e8f5e9
style C fill:#fff3e0
style D fill:#fce4ec
This combination exists nowhere else.
How to Use - Use Cases
Corporate Planning Department
| Scene | Before | After (PinotWalk) |
|---|---|---|
| Competitor Research Report | 2 weeks of manual research | Seraphina delivers comprehensive report in 2 hours |
| Board Meeting Materials | Created from scratch every month | Reference past materials, update only differences |
| M&A Candidate Evaluation | Outsourced to consultants | Complete initial screening in-house |
| Large-scale Data Analysis | 1 month (manual classification of thousands of items) | Gaia classifies, analyzes, and reports in hours |
Sales & Marketing Department
| Scene | Before | After (PinotWalk) |
|---|---|---|
| Proposal Creation | 3 days per proposal | 3 hours per proposal while chatting with Gaia |
| Market Reports | Quarterly | Weekly automatic updates |
| Content Production | Outsourced to writers | Gaia drafts, humans refine |
| Customer Segment Analysis | 2 weeks (tens of thousands of records) | Gaia classifies and visualizes in hours |
IT & DX Promotion Department
| Scene | Before | After (PinotWalk) |
|---|---|---|
| System Modernization Planning | Stalled between cost vs. quality | Astra designs integrated solutions achieving both |
| Vendor Comparison | Subjective evaluations | Objective comparison via matrix |
| Technical Research Reports | Consumes engineers' time | Seraphina researches comprehensively and creates reports |
| API & Log Analysis | Several weeks (massive data) | Gaia extracts patterns and creates reports in hours |
Implementation Benefits & ROI
Quantitative Benefits
| Metric | Impact | Basis |
|---|---|---|
| Report Creation Time | 80% reduction | Autonomous research & writing execution |
| Knowledge Search Time | 90% reduction | Automatic reference to past assets |
| Outsourcing Costs | 50% reduction | In-house initial analysis |
| Decision-Making Speed | 3x faster | Accelerated information gathering |
Qualitative Benefits
┌─────────────────────────────────────────────────────────┐
│ │
│ ✓ Elimination of key-person dependency │
│ → Knowledge accumulated as organizational assets │
│ ✓ Focus on core work │
│ → Time secured for strategic thinking │
│ ✓ Quality standardization │
│ → Consistent quality regardless of who creates │
│ ✓ Shortened onboarding │
│ → Immediate access to historical knowledge │
│ │
└─────────────────────────────────────────────────────────┘
ROI Calculation Example (10-person team)
| Item | Amount |
|---|---|
| Annual Cost (PinotWalk) | JPY 3,000,000 |
| Time Reduction Effect (labor cost equivalent) | JPY 12,000,000 |
| Outsourcing Cost Reduction | JPY 2,000,000 |
| Annual ROI | +JPY 11,000,000 (367%) |
Security & Implementation
Enterprise-Grade Security, Even Without a Security Team
Transform "Security Concerns" into "Security Confidence"
┌─────────────────────────────────────────────────────────────────┐
│ Security Certifications & Compliance │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ✅ OWASP Top 10 Web Security Standard - Full Compliance │
│ ✅ AWS SOC 2 Type II Data Center Certification - Compliant │
│ ✅ PCI DSS Level 1 Highest Payment Security - Compliant │
│ ✅ TLS 1.2+ / AES-256 Full Encryption for Transit & Storage │
│ │
└─────────────────────────────────────────────────────────────────┘
Complete Protection Against 3 Major Risks
| Risk | Countermeasure | Effect |
|---|---|---|
| Ransomware Attack | 90-day versioning + Daily auto-backup + Immutable storage | Near-zero data loss |
| Unauthorized Access | Auto brute-force blocking + JWT auth (5-min expiry) + MFA support | Auto defense against external attacks |
| Internal Data Leakage | Hierarchical access control + Public Publisher limit (max 2) + Full operation logs | System-level prevention of errors |
Data Sovereignty & Compliance
| Item | Details |
|---|---|
| AI Training | Customer data is never used for AI training |
| Audit Logs | Full operation logging, 90-day retention, CSV/JSON export |
| SSO Integration | SAML 2.0 / OIDC support, integration with existing ID infrastructure |
| Privacy Law | Compliant |
Getting Started: Begin Today
flowchart LR
A[1. Create Account] --> B[2. Start Using Immediately]
B --> C[3. Ask Secretary<br/>When Unsure]
style A fill:#e3f2fd
style B fill:#e8f5e9
style C fill:#fff3e0
| Step | Description | Time Required |
|---|---|---|
| 1. Create Account | Register with email | 1 min |
| 2. Start Using Immediately | Just ask via chat | Instantly |
| 3. Ask When Unsure | Secretary will teach you how to use it | Anytime |
No training required. No manual needed. Just ask the Secretary.
Next Steps
Transform 75% of "Tasks" into "Creation"
Today's Knowledge Worker: Days Consumed by Tasks
pie showData
title Time Allocation (Current)
"Research & Info Gathering" : 40
"Document Creation & Writing" : 35
"Essential Thinking & Decision" : 25
After PinotWalk: Days Focused on Value Creation
pie showData
title Time Allocation (After Implementation)
"Strategic Thinking" : 50
"Supervision & Quality Judgment" : 25
"Creative Work" : 25
No complicated procedures. Start right now.
PinotWalk
Where AI creates, humans orchestrate.
Changing the paradigm of knowledge creation.
Humans focus on "what to create," while AI handles "how to create it."
Creating solutions that transcend trade-offs, accumulating and circulating them as organizational knowledge assets.
That is PinotWalk.
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