Last updated: Jan 20, 2026, 08:25 AM UTC

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:

graph TB subgraph " " A[" YOUR ORGANIZATION'S DOCUMENTS
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

graph LR subgraph Input["What Sasha Reads"] A["Project A: £45,000, 8 weeks"] B["Project B: £52,000, 10 weeks"] C["Project C: £48,000, 9 weeks"] end subgraph Output["What Sasha Knows"] D["For retail transformation projects,
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:

  1. Built-in expertise provides professional-grade foundations
  2. Your documents provide organization-specific knowledge
  3. Conversation context provides immediate relevance
  4. 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