How Does Sasha Know?
Understanding Where Sasha's Knowledge Comes From
Three Sources of Knowledge
Sasha draws intelligence from three distinct sources, each contributing different types of knowledge:
Network drives, uploads, project files "] B[" SASHA'S BUILT-IN EXPERTISE
Professional methodologies and frameworks "] C[" CONVERSATION CONTEXT
What you've discussed in this session "] end A --> B --> C style A fill:#e0f2fe,stroke:#0ea5e9,stroke-width:2px style B fill:#dcfce7,stroke:#22c55e,stroke-width:2px style C fill:#fef3c7,stroke:#f59e0b,stroke-width:2px
Source 1: Your Organization's Documents
This is how Sasha learns about YOU.
Sasha can study documents from your organization - files on network drives, shared folders, uploaded documents - and derive understanding from them.
What Sasha Can Access
| Source | How It Works |
|---|---|
| Network Drives | Mount shared drives so Sasha can read your enterprise documents |
| Uploaded Files | Drop documents directly into Sasha for immediate analysis |
| Project Folders | Organize documents by project for focused context |
What Sasha Learns
Sasha doesn't just search your documents - she understands them:
From your past projects, Sasha learns:
- What approaches worked and what didn't
- Typical timelines and resource requirements
- Patterns that predict success
From your client work, Sasha learns:
- Industry-specific terminology and requirements
- Pricing models and engagement structures
- Client preferences and relationship history
From your internal documents, Sasha learns:
- How your organization operates
- Your specific methodologies and standards
- Team expertise and who knows what
Example: Learning Your Pricing
we typically charge £45-52K
over 8-10 weeks"] end Input --> Output style A fill:#f8fafc,stroke:#94a3b8 style B fill:#f8fafc,stroke:#94a3b8 style C fill:#f8fafc,stroke:#94a3b8 style D fill:#dcfce7,stroke:#22c55e,stroke-width:2px
Source 2: Built-In Expertise
This is how Sasha knows professional best practices.
Sasha comes pre-loaded with enterprise-grade methodologies developed over years of professional consulting. This knowledge applies to everything Sasha does, regardless of your specific organization.
What's Built In
Research & Analysis
- Multi-source verification protocols
- Structured analysis frameworks
- Risk assessment methodologies
- Competitive analysis techniques
Documentation & Communication
- Professional writing standards
- Visual design principles
- Document structure patterns
- Presentation frameworks
Technical Knowledge
- Architecture best practices
- Security considerations
- Integration patterns
- Quality standards
Business Operations
- Project management approaches
- Financial analysis methods
- Strategic planning frameworks
- Compliance considerations
Why This Matters
Even on day one - before Sasha has learned anything about your organization - you get professional-grade assistance. The built-in expertise ensures:
- Documentation looks professionally designed
- Analysis follows proven methodologies
- Recommendations consider industry standards
- Quality meets enterprise expectations
Source 3: Conversation Context
This is how Sasha understands your immediate needs.
Within each conversation, Sasha builds understanding of:
- What you're working on - the specific project or task
- What you've already discussed - previous questions and answers
- What you're trying to achieve - your goals for this interaction
- Your preferences - how you like information presented
How Context Builds
Message 1: "I need to analyze this contract"
- Sasha knows: You're doing contract analysis
Message 2: "Focus on the liability clauses"
- Sasha knows: Contract analysis, specifically liability
Message 3: "Compare it to the Johnson contract from last year"
- Sasha knows: Contract analysis, liability focus, with historical comparison
Each message adds context, making responses more relevant and specific.
How Knowledge Combines
When you ask Sasha a question, all three sources work together:
Your Question: "How should we price this healthcare project?"
Conversation Context contributes:
- This is a healthcare project
- You mentioned it's similar to the Williams engagement
- The client is mid-sized
Your Organization's Documents contribute:
- Past healthcare project pricing
- The Williams engagement details
- Your standard pricing models
Built-In Expertise contributes:
- Healthcare industry considerations
- Value-based pricing frameworks
- Risk factors to consider
Sasha's Response: A specific pricing recommendation that reflects your organization's history, considers industry standards, and addresses the particular client situation.
Adding Knowledge to Sasha
Immediate: Upload Documents
Drop files directly into Sasha for immediate analysis:
- Contracts for review
- Reports for summarization
- Data for analysis
Project-Based: Organize by Context
Create projects with relevant documents:
- All files for a specific client
- Research for a particular initiative
- Historical records for reference
Organization-Wide: Connect Network Drives
Mount shared drives so Sasha can access:
- Years of institutional knowledge
- Cross-project patterns
- Organization-wide standards
Knowledge Over Time
Sasha's understanding of your organization deepens with use:
Week 1: Basic document access and terminology understanding
Month 1: Pattern recognition across projects and clients
Month 3: Predictive insights based on historical data
Month 6: Deep institutional knowledge with nuanced recommendations
Year 1+: Comprehensive organizational intelligence that rivals senior staff memory
What Sasha Doesn't Know
Sasha's knowledge has clear boundaries:
No access without permission: Sasha only knows documents you've shared or connected
No external data: Sasha doesn't browse the internet or access external databases
No memory between organizations: Each Sasha instance is isolated - your knowledge stays yours
No guessing: When Sasha doesn't know something, she says so rather than making things up
The Result
When users say Sasha "just knows" things, it's because:
- Built-in expertise provides professional-grade foundations
- Your documents provide organization-specific knowledge
- Conversation context provides immediate relevance
- All three combine into responses that feel like talking to an expert colleague who understands your organization
This isn't magic - it's structured knowledge architecture that makes decades of expertise instantly accessible.
Sasha - Transforming institutional knowledge into conversational intelligence